Question: How to: 🌎 Community Servers

Answer:
A growing set of community-developed and maintained servers demonstrates various applications of MCP across different domains.

> [!NOTE]
> Community servers are **untested** and should be used at **your own risk**. They are not affiliated with or endorsed by Anthropic.

- **[1mcpserver](https://github.com/particlefuture/1mcpserver)** - MCP of MCPs. Automatically discover, configure, and add MCP servers on your local machine.
- **[1Panel](https://github.com/1Panel-dev/mcp-1panel)** - MCP server implementation that provides 1Panel interaction.
- **[A2A](https://github.com/GongRzhe/A2A-MCP-Server)** - An MCP server that bridges the Model Context Protocol (MCP) with the Agent-to-Agent (A2A) protocol, enabling MCP-compatible AI assistants (like Claude) to seamlessly interact with A2A agents.
- **[Ableton Live](https://github.com/Simon-Kansara/ableton-live-mcp-server)** - an MCP server to control Ableton Live.
- **[Ableton Live](https://github.com/ahujasid/ableton-mcp)** (by ahujasid) - Ableton integration allowing prompt enabled music creation.
- **[ActivityPub MCP](https://github.com/cameronrye/activitypub-mcp)** - A comprehensive MCP server that enables LLMs to explore and interact with the Fediverse through ActivityPub protocol, supporting actor discovery, timeline fetching, instance exploration, and WebFinger resolution across decentralized social networks.
- **[Actor Critic Thinking](https://github.com/aquarius-wing/actor-critic-thinking-mcp)** - Actor-critic thinking for performance evaluation
- **[Adobe Commerce](https://github.com/rafaelstz/adobe-commerce-dev-mcp)** — MCP to interact with Adobe Commerce GraphQL API, including orders, products, customers, etc.
- **[ADR Analysis](https://github.com/tosin2013/mcp-adr-analysis-server)** - AI-powered Architectural Decision Records (ADR) analysis server that provides architectural insights, technology stack detection, security checks, and TDD workflow enhancement for software development projects.
- **[Ads MCP](https://github.com/amekala/ads-mcp)** - Remote MCP server for cross-platform ad campaign creation (Google Ads Search & PMax, TikTok). OAuth 2.1 authentication with progress streaming support for long-running operations. [Website](https://www.adspirer.com/)
- **[Agent Interviews](https://github.com/thinkchainai/agentinterviews_mcp)** - Conduct AI-powered qualitative research interviews and surveys at scale with [Agent Interviews](https://agentinterviews.com).
- **[AgentBay](https://github.com/Michael98671/agentbay)** - An MCP server for providing serverless cloud infrastructure for AI agents.
- **[Agentic Framework](https://github.com/Piotr1215/mcp-agentic-framework)** - Multi-agent collaboration framework enabling AI agents to register, discover each other, exchange asynchronous messages via HTTP transport, and work together on complex tasks with persistent message history.
- **[AgentMode](https://www.agentmode.app)** - Connect to dozens of databases, data warehouses, Github & more, from a single MCP server.  Run the Docker image locally, in the cloud, or on-premise.
- **[AI Agent Marketplace Index](https://github.com/AI-Agent-Hub/ai-agent-marketplace-index-mcp)** - MCP server to search more than 5000+ AI agents and tools of various categories from [AI Agent Marketplace Index](http://www.deepnlp.org/store/ai-agent) and monitor traffic of AI Agents.
- **[AI Endurance](https://github.com/ai-endurance/mcp)** - AI-powered training platform for runners, cyclists, and triathletes with over 20 tools for workout management, activity analysis, performance predictions, and recovery tracking.
- **[AI Tasks](https://github.com/jbrinkman/valkey-ai-tasks)** - Let the AI manage complex plans with integrated task management and tracking tools. Supports STDIO, SSE and Streamable HTTP transports.
- **[ai-Bible](https://github.com/AdbC99/ai-bible)** - Search the bible reliably and repeatably [ai-Bible Labs](https://ai-bible.com)
- **[Airbnb](https://github.com/openbnb-org/mcp-server-airbnb)** - Provides tools to search Airbnb and get listing details.
- **[Airflow](https://github.com/yangkyeongmo/mcp-server-apache-airflow)** - An MCP Server that connects to [Apache Airflow](https://airflow.apache.org/) using official python client.
- **[Airtable](https://github.com/domdomegg/airtable-mcp-server)** - Read and write access to [Airtable](https://airtable.com/) databases, with schema inspection.
- **[Airtable](https://github.com/felores/airtable-mcp)** - Airtable Model Context Protocol Server.
- **[Algorand](https://github.com/GoPlausible/algorand-mcp)** - A comprehensive MCP server for tooling interactions (40+) and resource accessibility (60+) plus many useful prompts for interacting with the Algorand blockchain.
- **[Amadeus](https://github.com/donghyun-chae/mcp-amadeus)** (by donghyun-chae) - An MCP server to access, explore, and interact with Amadeus Flight Offers Search API for retrieving detailed flight options, including airline, times, duration, and pricing data.
- *


Question: How to: 📚 Frameworks

Answer: These are high-level frameworks that make it easier to build MCP servers or clients.


Question: How to: For servers

Answer:
* **[Anubis MCP](https://github.com/zoedsoupe/anubis-mcp)** (Elixir) - A high-performance and high-level Model Context Protocol (MCP) implementation in Elixir. Think like "Live View" for MCP.
* **[ModelFetch](https://github.com/phuctm97/modelfetch/)** (TypeScript) - Runtime-agnostic SDK to create and deploy MCP servers anywhere TypeScript/JavaScript runs
* **[EasyMCP](https://github.com/zcaceres/easy-mcp/)** (TypeScript)
* **[FastAPI to MCP auto generator](https://github.com/tadata-org/fastapi_mcp)** – A zero-configuration tool for automatically exposing FastAPI endpoints as MCP tools by **[Tadata](https://tadata.com/)**
* **[FastMCP](https://github.com/punkpeye/fastmcp)** (TypeScript)
* **[Foobara MCP Connector](https://github.com/foobara/mcp-connector)** - Easily expose Foobara commands written in Ruby as tools via MCP
* **[Foxy Contexts](https://github.com/strowk/foxy-contexts)** – A library to build MCP servers in Golang by **[strowk](https://github.com/strowk)**
* **[Higress MCP Server Hosting](https://github.com/alibaba/higress/tree/main/plugins/wasm-go/mcp-servers)** - A solution for hosting MCP Servers by extending the API Gateway (based on Envoy) with wasm plugins.
* **[MCP Declarative Java SDK](https://github.com/codeboyzhou/mcp-declarative-java-sdk)** Annotation-driven MCP servers development with Java, no Spring Framework Required, minimize dependencies as much as possible.
* **[MCP-Framework](https://mcp-framework.com)** Build MCP servers with elegance and speed in TypeScript. Comes with a CLI to create your project with `mcp create app`. Get started with your first server in under 5 minutes by **[Alex Andru](https://github.com/QuantGeekDev)**
* **[MCP Plexus](https://github.com/Super-I-Tech/mcp_plexus)**: A secure, **multi-tenant** and Multi-user MCP python server framework built to integrate easily with external services via OAuth 2.1, offering scalable and robust solutions for managing complex AI applications.
* **[mcp_sse (Elixir)](https://github.com/kEND/mcp_sse)** An SSE implementation in Elixir for rapidly creating MCP servers.
* **[mxcp](https://github.com/raw-labs/mxcp)** (Python) - Open-source framework for building enterprise-grade MCP servers using just YAML, SQL, and Python, with built-in auth, monitoring, ETL and policy enforcement.
* **[Next.js MCP Server Template](https://github.com/vercel-labs/mcp-for-next.js)** (Typescript) - A starter Next.js project that uses the MCP Adapter to allow MCP clients to connect and access resources.
* **[PayMCP](https://github.com/blustAI/paymcp)** (Python & TypeScript) - Lightweight payments layer for MCP servers: turn tools into paid endpoints with a two-line decorator. [PyPI](https://pypi.org/project/paymcp/) · [npm](https://www.npmjs.com/package/paymcp) · [TS repo](https://github.com/blustAI/paymcp-ts)
* **[Perl SDK](https://github.com/mojolicious/mojo-mcp)** - An SDK for building MCP servers and clients with the Perl programming language.
* **[Quarkus MCP Server SDK](https://github.com/quarkiverse/quarkus-mcp-server)** (Java)
- **[R mcptools](https://github.com/posit-dev/mcptools)** - An R SDK for creating R-based MCP servers and retrieving functionality from third-party MCP servers as R functions.
* **[SAP ABAP MCP Server SDK](https://github.com/abap-ai/mcp)** - Build SAP ABAP based MCP servers. ABAP 7.52 based with 7.02 downport; runs on R/3 & S/4HANA on-premises, currently not cloud-ready.
* **[Spring AI MCP Server](https://docs.spring.io/spring-ai/reference/api/mcp/mcp-server-boot-starter-docs.html)** - Provides auto-configuration for setting up an MCP server in Spring Boot applications.
* **[Template MCP Server](https://github.com/mcpdotdirect/template-mcp-server)** - A CLI tool to create a new Model Context Protocol server project with TypeScript support, dual transport options, and an extensible structure
* **[AgentR Universal MCP SDK](https://github.com/universal-mcp/universal-mcp)** - A python SDK to build MCP Servers with inbuilt credential management by **[Agentr](https://agentr.dev/home)**
* **[Vercel MCP Adapter](https://github.com/vercel/mcp-adapter)** (TypeScript) - A simple package to start serving an MCP server on most major JS meta-frameworks including Next, Nuxt, Svelte, and more.
* **[PHP MCP Server](https://github.com/php-mcp/server)** (PHP) - Core PHP implementation for the Model Context Protocol (MCP) server


Question: How to: For clients

Answer:
* **[codemirror-mcp](https://github.com/marimo-team/codemirror-mcp)** - CodeMirror extension that implements the Model Context Protocol (MCP) for resource mentions and prompt commands
* **[llm-analysis-assistant](https://github.com/xuzexin-hz/llm-analysis-assistant)**
- A very streamlined mcp client that supports calling and monitoring stdio/sse/streamableHttp, and can also view request responses through the /logs page. It also supports monitoring and simulation of ollama/openai interface.
* **[MCP-Agent](https://github.com/lastmile-ai/mcp-agent)** - A simple, composable framework to build agents using Model Context Protocol by **[LastMile AI](https://www.lastmileai.dev)**
* **[Spring AI MCP Client](https://docs.spring.io/spring-ai/reference/api/mcp/mcp-client-boot-starter-docs.html)** - Provides auto-configuration for MCP client functionality in Spring Boot applications.
* **[MCP CLI Client](https://github.com/vincent-pli/mcp-cli-host)** - A CLI host application that enables Large Language Models (LLMs) to interact with external tools through the Model Context Protocol (MCP).
* **[OpenMCP Client](https://github.com/LSTM-Kirigaya/openmcp-client/)** - An all-in-one vscode/trae/cursor plugin for MCP server debugging. [Document](https://kirigaya.cn/openmcp/) & [OpenMCP SDK](https://kirigaya.cn/openmcp/sdk-tutorial/).
* **[PHP MCP Client](https://github.com/php-mcp/client)** - Core PHP implementation for the Model Context Protocol (MCP) Client
* **[Runbear](https://runbear.io/solutions/integrations/slack/mcp)** - No-code MCP client for team chat platforms, such as Slack, Microsoft Teams, and Discord.


Question: How to: 📚 Resources

Answer:
Additional resources on MCP.

- **[A2A-MCP Java Bridge](https://github.com/vishalmysore/a2ajava)** - A2AJava brings powerful A2A-MCP integration directly into your Java applications. It enables developers to annotate standard Java methods and instantly expose them as MCP Server, A2A-discoverable actions — with no boilerplate or service registration overhead.
- **[AiMCP](https://www.aimcp.info)** - A collection of MCP clients&servers to find the right mcp tools by **[Hekmon](https://github.com/hekmon8)**
- **[Awesome Crypto MCP Servers by badkk](https://github.com/badkk/awesome-crypto-mcp-servers)** - A curated list of MCP servers by **[Luke Fan](https://github.com/badkk)**
- **[Awesome MCP Servers by appcypher](https://github.com/appcypher/awesome-mcp-servers)** - A curated list of MCP servers by **[Stephen Akinyemi](https://github.com/appcypher)**
- **[Awesome MCP Servers by punkpeye](https://github.com/punkpeye/awesome-mcp-servers)** (**[website](https://glama.ai/mcp/servers)**) - A curated list of MCP servers by **[Frank Fiegel](https://github.com/punkpeye)**
- **[Awesome MCP Servers by wong2](https://github.com/wong2/awesome-mcp-servers)** (**[website](https://mcpservers.org)**) - A curated list of MCP servers by **[wong2](https://github.com/wong2)**
- **[Awesome Remote MCP Servers by JAW9C](https://github.com/jaw9c/awesome-remote-mcp-servers)** - A curated list of **remote** MCP servers, including their authentication support by **[JAW9C](https://github.com/jaw9c)**
- **[Discord Server](https://glama.ai/mcp/discord)** – A community discord server dedicated to MCP by **[Frank Fiegel](https://github.com/punkpeye)**
- **[Discord Server (ModelContextProtocol)](https://discord.gg/jHEGxQu2a5)** – Connect with developers, share insights, and collaborate on projects in an active Discord community dedicated to the Model Context Protocol by **[Alex Andru](https://github.com/QuantGeekDev)**
- **[Install This MCP](https://installthismcp.com)** - Reduce Installation Friction with beautiful installation guides
-
**[Klavis AI](https://www.klavis.ai)** - Open Source MCP Infra. Hosted MCP servers and MCP clients on Slack and Discord.
- **[MCP Badges](https://github.com/mcpx-dev/mcp-badges)** – Quickly highlight your MCP project with clear, eye-catching badges, by **[Ironben](https://github.com/nanbingxyz)**
-
**[MCPProxy](https://github.com/smart-mcp-proxy/mcpproxy-go)** - Open-source local app that enables access to multiple MCP servers and thousands of tools with intelligent discovery via MCP protocol, runs servers in isolated environments, and features automatic quarantine protection against malicious tools.
- **[MCPRepository.com](https://mcprepository.com/)** - A repository that indexes and organizes all MCP servers for easy discovery.
- **[mcp-cli](https://github.com/wong2/mcp-cli)** - A CLI inspector for the Model Context Protocol by **[wong2](https://github.com/wong2)**
- **[mcp-dockmaster](https://mcp-dockmaster.com)** - An Open-Sourced UI to install and manage MCP servers for Windows, Linux and macOS.
- **[mcp-get](https://mcp-get.com)** - Command line tool for installing and managing MCP servers by **[Michael Latman](https://github.com/michaellatman)**
- **[mcp-guardian](https://github.com/eqtylab/mcp-guardian)** - GUI application + tools for proxying / managing control of MCP servers by **[EQTY Lab](https://eqtylab.io)**
- **[MCP Linker](https://github.com/milisp/mcp-linker)** - A cross-platform Tauri GUI tool for one-click setup and management of MCP servers, supporting Claude Desktop, Cursor, Windsurf, VS Code, Cline, and Neovim.
- **[mcp-manager](https://github.com/zueai/mcp-manager)** - Simple Web UI to install and manage MCP servers for Claude Desktop by **[Zue](https://github.com/zueai)**
- **[MCP Marketplace Web Plugin](https://github.com/AI-Agent-Hub/mcp-marketplace)** MCP Marketplace is a small Web UX plugin to integrate with AI applications, Support various MCP Server API Endpoint (e.g pulsemcp.com/deepnlp.org and more). Allowing user to browse, paginate and select various MCP servers by different categories. [Pypi](https://pypi.org/project/mcp-marketplace) | [Maintainer](https://github.com/AI-Agent-Hub) | [Website](http://www.deepnlp.org/store/ai-agent/mcp-server)
- **[mcp.natoma.ai](https://mcp.natoma.ai)** – A Hosted MCP Platform to discover, install, manage and deploy MCP servers by **[Natoma Labs](https://www.natoma.ai)**
- **[mcp.run](https://mcp.run)** - A hosted registry and control plane to install & run secure + portable MCP Servers.
- **[MCPHub](https://www.mcphub.com)** - Website to list high quality MCP servers and reviews by real users. Also provide online chatbot for popular LLM models with MCP server support.
- **[MCP Router](https://mcp-router.net)** – Free Windo


Question: How to: Using MCP Servers in this Repository

Answer:
TypeScript-based servers in this repository can be used directly with `npx`.

For example, this will start the [Memory](src/memory) server:
```sh
npx -y @modelcontextprotocol/server-memory
```

Python-based servers in this repository can be used directly with [`uvx`](https://docs.astral.sh/uv/concepts/tools/) or [`pip`](https://pypi.org/project/pip/). `uvx` is recommended for ease of use and setup.

For example, this will start the [Git](src/git) server:
```sh


Question: How to: Using an MCP Client

Answer:
However, running a server on its own isn't very useful, and should instead be configured into an MCP client. For example, here's the Claude Desktop configuration to use the above server:

```json
{
  "mcpServers": {
    "memory": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-memory"]
    }
  }
}
```

Additional examples of using the Claude Desktop as an MCP client might look like:

```json
{
  "mcpServers": {
    "filesystem": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-filesystem", "/path/to/allowed/files"]
    },
    "git": {
      "command": "uvx",
      "args": ["mcp-server-git", "--repository", "path/to/git/repo"]
    },
    "github": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-github"],
      "env": {
        "GITHUB_PERSONAL_ACCESS_TOKEN": "
"
      }
    },
    "postgres": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-postgres", "postgresql://localhost/mydb"]
    }
  }
}
```


Question: How to: 🛠 Creating Your Own Server

Answer: Interested in creating your own MCP server? Visit the official documentation at [modelcontextprotocol.io](https://modelcontextprotocol.io/introduction) for comprehensive guides, best practices, and technical details on implementing MCP servers.


Question: How to: 🤝 Contributing

Answer: See [CONTRIBUTING.md](CONTRIBUTING.md) for information about contributing to this repository.


Question: How to: 🔒 Security

Answer: See [SECURITY.md](SECURITY.md) for reporting security vulnerabilities.


Question: How to: 💬 Community

Answer: - [GitHub Discussions](https://github.com/orgs/modelcontextprotocol/discussions)


Question: How to: Architecture

Answer:
_Frameworks and libraries that help implementing and verifying design and architecture concepts._

- [ArchUnit](https://github.com/TNG/ArchUnit) - Test library for specifying and asserting architecture rules.
- [jMolecules](https://github.com/xmolecules/jmolecules) - Annotations and interfaces to express design and architecture concepts in code.


Question: How to: Artificial Intelligence

Answer:
_Frameworks that help you to leverage LLMs and AI._

- [LangChain4j](https://github.com/langchain4j/langchain4j) - Simplifies integration of LLMs with unified APIs and a comprehensive toolbox.
- [MCP Java SDK](https://github.com/modelcontextprotocol/java-sdk) - Enables applications to interact with AI models and tools through a standardized interface (i.e. Model Context Protocol), supporting both synchronous and asynchronous communication patterns.
- [simple-openai](https://github.com/sashirestela/simple-openai) - Library to use the OpenAI API (and compatible ones) in the simplest possible way.
- [Spring AI](https://spring.io/projects/spring-ai) - Application framework for AI engineering for Spring.


Question: How to: Bean Mapping

Answer:
_Frameworks that ease bean mapping._

- [dOOv](https://github.com/doov-io/doov) - Provides fluent API for typesafe domain model validation and mapping. It uses annotations, code generation and a type safe DSL to make bean validation and mapping fast and easy.
- [JMapper](https://github.com/jmapper-framework/jmapper-core) - Uses byte code manipulation for lightning-fast mapping. Supports annotations and API or XML configuration.
- [MapStruct](https://github.com/mapstruct/mapstruct) - Code generator that simplifies mappings between different bean types, based on a convention-over-configuration approach.
- [ModelMapper](https://github.com/modelmapper/modelmapper) - Intelligent object mapping library that automatically maps objects to each other.
- [Orika](https://github.com/orika-mapper/orika) - JavaBean-mapping framework that recursively copies (among other capabilities) data from one object to another.
- [reMap](https://github.com/remondis-it/remap) - Lambda and method handle-based mapping which requires code and not annotations if objects have different names.
- [Selma](https://github.com/xebia-france/selma) - Annotation processor-based bean mapper.


Question: How to: Bytecode Manipulation

Answer:
_Libraries to manipulate bytecode programmatically._

- [ASM](https://asm.ow2.io) - All-purpose, low-level bytecode manipulation and analysis.
- [Byte Buddy](https://bytebuddy.net) - Further simplifies bytecode generation with a fluent API.
- [bytecode-viewer](https://github.com/Konloch/bytecode-viewer) - Java 8 Jar & Android APK reverse engineering suite. (GPL-3.0-only)
- [Byteman](https://byteman.jboss.org) - Manipulate bytecode at runtime via DSL (rules); mainly for testing/troubleshooting. (LGPL-2.1-or-later)
- [cglib](https://github.com/cglib/cglib) - Bytecode generation library.
- [Javassist](https://github.com/jboss-javassist/javassist) - Tries to simplify bytecode editing.
- [Maker](https://github.com/cojen/maker) - Provides low level bytecode generation.
- [Mixin](https://github.com/SpongePowered/Mixin) - Manipulate bytecode at runtime using real Java code.
- [Perses](https://github.com/nicolasmanic/perses) - Dynamically injects failure/latency at the bytecode level according to principles of chaos engineering.
- [Recaf](https://www.coley.software/Recaf/) - JVM reverse engineering toolkit, essentially an IDE for Java bytecode.


Question: How to: Code Analysis

Answer:
_Tools that provide metrics and quality measurements._

- [Checkstyle](https://github.com/checkstyle/checkstyle) - Static analysis of coding conventions and standards. (LGPL-2.1-or-later)
- [Error Prone](https://github.com/google/error-prone) - Catches common programming mistakes as compile-time errors.
- [Error Prone Support](https://github.com/PicnicSupermarket/error-prone-support) - Error Prone extensions: extra bug checkers and a large battery of Refaster templates.
- [Infer](https://github.com/facebook/infer) - Modern static analysis tool for verifying the correctness of code.
- [jQAssistant](https://jqassistant.org) - Static code analysis with Neo4J-based query language. (GPL-3.0-only)
- [NullAway](https://github.com/uber/NullAway) - Eliminates NullPointerExceptions with low build-time overhead.
- [PMD](https://github.com/pmd/pmd) - Source code analysis for finding bad coding practices.
- [p3c](https://github.com/alibaba/p3c) - Provides Alibaba's coding guidelines for PMD, IDEA and Eclipse.
- [RefactorFirst](https://github.com/jimbethancourt/RefactorFirst) - Identifies and prioritizes God Classes and Highly Coupled classes.
- [SonarJava](https://github.com/SonarSource/sonar-java) - Static analyzer for SonarQube & SonarLint. (LGPL-3.0-only)
- [Spoon](https://github.com/INRIA/spoon) - Library for analyzing and transforming Java source code.
- [Spotbugs](https://github.com/spotbugs/spotbugs) - Static analysis of bytecode to find potential bugs. (LGPL-2.1-only)


Question: How to: Code Coverage

Answer:
_Frameworks and tools that enable code coverage metrics collection for test suites._

- [Clover](https://www.atlassian.com/software/clover) - Relies on source-code instrumentation instead of bytecode instrumentation.
- [Cobertura](https://cobertura.github.io/cobertura/) - Relies on offline (or static) bytecode instrumentation and class loading to collect code coverage metrics. (GPL-2.0-only)
- [JaCoCo](https://www.eclemma.org/jacoco/) - Framework that enables collection of code coverage metrics, using both offline and runtime bytecode instrumentation.


Question: How to: Code Generators

Answer:
_Tools that generate patterns for repetitive code in order to reduce verbosity and error-proneness._

- [ADT4J](https://github.com/sviperll/adt4j) - JSR-269 code generator for algebraic data types.
- [Auto](https://github.com/google/auto) - Generates factory, service, and value classes.
- [Avaje Http Server](https://avaje.io/http/) - Generates Lightweight JAX-RS style http servers using Javalin or Helidon (Nima) SE.
- [Bootify ![c]](https://bootify.io) - Browser-based Spring Boot app generation with JPA model and REST API.
- [EasyEntityToDTO](https://github.com/Marcel091004/EasyEntityToDTO) - Annotation processor for automatic DTO and Mapper generation with zero boilerplate.
- [FreeBuilder](https://github.com/inferred/FreeBuilder) - Automatically generates the Builder pattern.
- [Geci](https://github.com/verhas/javageci) - Discovers files that need generated code, updates automatically and writes to the source with a convenient API.
- [Immutables](https://immutables.github.io) - Annotation processors to generate simple, safe and consistent value objects.
- [JavaPoet](https://github.com/square/javapoet) - API to generate source files.
- [JHipster](https://github.com/jhipster/generator-jhipster) - Yeoman source code generator for Spring Boot and AngularJS.
- [Joda-Beans](https://www.joda.org/joda-beans/) - Small framework that adds queryable properties to Java, enhancing JavaBeans.
- [JPA Buddy ![c]](https://www.jpa-buddy.com) - Plugin for IntelliJ IDEA. Provides visual tools for generating JPA entities, Spring Data JPA repositories, Liquibase changelogs and SQL scripts. Offers automatic Liquibase/Flyway script generation by comparing model to DB, and reverse engineering JPA entities from DB tables.
- [JSpecify Package-Info Generator](https://github.com/bcaillard/jspecify-packageinfo-generator) - Maven plugin that automatically generates package-info.java files with JSpecify annotations (@NullMarked and @NullUnmarked), helping you manage nullness boundaries in your Java projects without manual boilerplate.
- [Lombok](https://projectlombok.org) - Code generator that aims to reduce verbosity.
- [Record-Builder](https://github.com/Randgalt/record-builder) - Companion builder class, withers and templates for Java records.
- [Telosys](https://www.telosys.org/) - Simple and light code generator available as an Eclipse Plugin and also as a CLI.


Question: How to: Compiler-compiler

Answer:
_Frameworks that help to create parsers, interpreters or compilers._

- [ANTLR](https://www.antlr.org) - Complex full-featured framework for top-down parsing.
- [JavaCC](https://javacc.github.io/javacc/) - Parser generator that generates top-down parsers. Allows lexical state switching and permits extended BNF specifications.
- [JFlex](https://jflex.de) - Lexical analyzer generator.


Question: How to: Computer Vision

Answer:
_Libraries which seek to gain high level information from images and videos._

- [BoofCV](https://boofcv.org) - Library for image processing, camera calibration, tracking, SFM, MVS, 3D vision, QR Code and much more.
- [ImageJ](https://imagej.net/ImageJ) - Medical image processing application with an API.
- [JavaCV](https://github.com/bytedeco/javacv) - Java interface to OpenCV, FFmpeg, and much more.


Question: How to: Configuration

Answer:
_Libraries that provide external configuration._

- [avaje config](https://avaje.io/config/) - Loads yaml and properties files, supports dynamic configuration, plugins, file-watching and config event listeners.
- [centraldogma](https://github.com/line/centraldogma) - Highly-available version-controlled service configuration repository based on Git, ZooKeeper and HTTP/2.
- [config](https://github.com/lightbend/config) - Configuration library supporting Java properties, JSON or its human optimized superset HOCON.
- [Configurate](https://github.com/SpongePowered/Configurate) - Configuration library with support for various configuration formats and transformations.
- [Curator Framework](https://curator.apache.org/) - High-level API for Apache ZooKeeper.
- [dotenv](https://github.com/shyiko/dotenv) - Twelve-factor configuration library which uses environment-specific files.
- [Externalized Properties](https://github.com/joel-jeremy/externalized-properties) - Lightweight yet powerful configuration library which supports resolution of properties from external sources and an extensible post-processing/conversion mechanism.
- [Gestalt](https://github.com/gestalt-config/gestalt) - Gestalt offers a comprehensive solution to the challenges of configuration management. It allows you to source configuration data from multiple inputs, merge them intelligently, and present them in a structured, type-safe manner.
- [ini4j](http://ini4j.sourceforge.net) - Provides an API for handling Windows' INI files.
- [KAConf](https://github.com/mariomac/kaconf) - Annotation-based configuration system for Java and Kotlin.
- [microconfig](https://microconfig.io) - Configuration system designed for microservices which helps to separate configuration from code. The configuration for different services can have common and specific parts and can be dynamically distributed.
- [owner](https://github.com/lviggiano/owner) - Reduces boilerplate of properties.


Question: How to: Constraint Satisfaction Problem Solver

Answer:
_Libraries that help with implementing optimization and satisfiability problems._

- [Choco](https://choco-solver.org) - Off-the-shelf constraint satisfaction problem solver that uses constraint programming techniques.
- [JaCoP](https://github.com/radsz/jacop) - Includes an interface for the FlatZinc language, enabling it to execute MiniZinc models. (AGPL-3.0)
- [OptaPlanner](https://www.optaplanner.org) - Business planning and resource scheduling optimization solver.
- [Timefold](https://timefold.ai/docs) - Flexible solver with Spring/Quarkus support and quickstarts for the Vehicle Routing Problem, Maintenance Scheduling, Employee Shift Scheduling and much more.


Question: How to: Data Structures

Answer:
_Efficient and specific data structures._

- [Apache Avro](https://avro.apache.org) - Data interchange format with dynamic typing, untagged data, and absence of manually assigned IDs.
- [Apache Orc](https://orc.apache.org) - Fast and efficient columnar storage format for Hadoop-based workloads.
- [Apache Parquet](https://parquet.apache.org) - Columnar storage format based on assembly algorithms from Google's paper on Dremel.
- [Apache Thrift](https://thrift.apache.org) - Data interchange format that originated at Facebook.
- [Big Queue](https://github.com/bulldog2011/bigqueue) - Fast and persistent queue based on memory-mapped files.
- [HyperMinHash-java](https://github.com/LiveRamp/HyperMinHash-java) - Probabilistic data structure for computing union, intersection, and set cardinality in loglog space.
- [Persistent Collection](https://github.com/hrldcpr/pcollections) - Persistent and immutable analogue of the Java Collections Framework.
- [Protobuf](https://github.com/protocolbuffers/protobuf) - Google's data interchange format.
- [RoaringBitmap](https://github.com/RoaringBitmap/RoaringBitmap) - Fast and efficient compressed bitmap.
- [SBE](https://github.com/real-logic/simple-binary-encoding) - Simple Binary Encoding, one of the fastest message formats around.
- [Tape](https://github.com/square/tape) - Lightning-fast, transactional, file-based FIFO.
- [Wire](https://github.com/square/wire) - Clean, lightweight protocol buffers.


Question: How to: Date and Time

Answer:
_Libraries related to handling date and time._

- [iCal4j](https://github.com/ical4j/ical4j) - Parse and build iCalendar [RFC 5545](https://tools.ietf.org/html/rfc5545) data models.
- [Jollyday](https://github.com/svendiedrichsen/jollyday) - Determines the holidays for a given year, country/name and eventually state/region.
- [ThreeTen-Extra](https://github.com/ThreeTen/threeten-extra) - Additional date-time classes that complement those in JDK 8.
- [Time4J](https://github.com/MenoData/Time4J) - Advanced date and time library. (LGPL-2.1-only)


Question: How to: Decentralization

Answer:
_Libraries that handle decentralization tasks._

- [java-tron](https://github.com/tronprotocol/java-tron) Implementation of the Tron Protocol, whic utilizes blockchains to develop decentralized applications.


Question: How to: Dependency Injection

Answer:
_Libraries that help to realize the [Inversion of Control](https://en.wikipedia.org/wiki/Inversion_of_control) paradigm._

- [Apache DeltaSpike](https://deltaspike.apache.org) - CDI extension framework.
- [Avaje Inject](https://avaje.io/inject/) - Microservice-focused compile-time injection framework without reflection.
- [Dagger](https://dagger.dev/) - Compile-time injection framework without reflection.
- [Feather](https://github.com/zsoltherpai/feather) - Ultra-lightweight, JSR-330-compliant dependency injection library.
- [Governator](https://github.com/Netflix/governator) - Extensions and utilities that enhance Google Guice.
- [Guice](https://github.com/google/guice) - Lightweight and opinionated framework that completes Dagger.
- [HK2](https://eclipse-ee4j.github.io/glassfish-hk2/) - Lightweight and dynamic dependency injection framework.
- [JayWire](https://github.com/vanillasource/jaywire) - Lightweight dependency injection framework. (LGPL-3.0-only)


Question: How to: Development

Answer:
_Augmentation of the development process at a fundamental level._

- [AspectJ](https://www.eclipse.org/aspectj/) - Seamless aspect-oriented programming extension.
- [DCEVM](https://dcevm.github.io) - JVM modification that allows unlimited redefinition of loaded classes at runtime. (GPL-2.0-only)
- [Faux Pas](https://github.com/zalando/faux-pas) - Library that simplifies error handling by circumventing the issue that none of the functional interfaces in the Java Runtime is allowed by default to throw checked exceptions.
- [HotswapAgent](https://github.com/HotswapProjects/HotswapAgent) - Unlimited runtime class and resource redefinition. (GPL-2.0-only)
- [JavaParser](https://github.com/javaparser/javaparser) - Parse, modify and generate Java code.
- [JavaSymbolSolver](https://github.com/javaparser/javasymbolsolver) - Symbol solver.
- [Manifold](https://github.com/manifold-systems/manifold) - Re-energizes Java with powerful features like type-safe metaprogramming, structural typing and extension methods.
- [NoException](https://noexception.machinezoo.com) - Allows checked exceptions in functional interfaces and converts exceptions to Optional return.
- [SneakyThrow](https://github.com/rainerhahnekamp/sneakythrow) - Ignores checked exceptions without bytecode manipulation. Can also be used inside Java 8 stream operations.
- [Tail](https://nrktkt.github.io/tail/) - Enable infinite recursion using tail call optimization.


Question: How to: Distributed Applications

Answer:
_Libraries and frameworks for writing distributed and fault-tolerant applications._

- [Apache Geode](https://geode.apache.org) - In-memory data management system that provides reliable asynchronous event notifications and guaranteed message delivery.
- [Apache Storm](https://storm.apache.org) - Realtime computation system.
- [Apache ZooKeeper](https://zookeeper.apache.org) - Coordination service with distributed configuration, synchronization, and naming registry for large distributed systems.
- [Atomix](https://atomix.io) - Fault-tolerant distributed coordination framework.
- [Axon](https://axoniq.io) - Framework for creating CQRS applications.
- [Dropwizard Circuit Breaker](https://github.com/mtakaki/dropwizard-circuitbreaker) - Circuit breaker design pattern for Dropwizard. (GPL-2.0-only)
- [Failsafe](https://github.com/jhalterman/failsafe) - Simple failure handling with retries and circuit breakers.
- [Hazelcast](https://github.com/hazelcast/hazelcast) - Highly scalable in-memory datagrid with a free open-source version.
- [JGroups](http://www.jgroups.org) - Toolkit for reliable messaging and cluster creation.
- [Quasar](http://docs.paralleluniverse.co/quasar/) - Lightweight threads and actors for the JVM.
- [resilience4j](https://github.com/resilience4j/resilience4j) - Functional fault tolerance library.
- [OpenIG](https://github.com/OpenIdentityPlatform/OpenIG) - High-performance reverse proxy server with specialized session management and credential replay functionality.
- [ScaleCube Services](https://github.com/scalecube/scalecube-services) - Embeddable Cluster-Membership library based on SWIM and gossip protocol.
- [Zuul](https://github.com/Netflix/zuul) - Gateway service that provides dynamic routing, monitoring, resiliency, security, and more.


Question: How to: Distributed Transactions

Answer:
_Distributed transactions provide a mechanism for ensuring consistency of data updates in the presence of concurrent access and partial failures._

- [Atomikos](https://www.atomikos.com) - Provides transactions for REST, SOA and microservices with support for JTA and XA.
- [Bitronix](https://github.com/bitronix/btm) - Simple but complete implementation of the JTA 1.1 API.
- [Narayana](https://narayana.io) - Provides support for traditional ACID and compensation transactions, also complies with JTA, JTS and other standards. (LGPL-2.1-only)
- [Seata](https://github.com/seata/seata) - Delivers high performance and easy to use distributed transaction services under a microservices architecture.


Question: How to: Distribution

Answer:
_Tools that handle the distribution of applications in native formats._

- [Artipie](https://github.com/artipie/artipie) - Binary artifact management toolkit which hosts them on the file system or S3.
- [Boxfuse ![c]](https://boxfuse.com) - Deployment of JVM applications to AWS using the principles of immutable infrastructure.
- [Capsule](https://github.com/puniverse/capsule) - Simple and powerful packaging and deployment. A fat JAR on steroids, or a "Docker for Java" that supports JVM-optimized containers.
- [Central Repository](https://search.maven.org) - Largest binary component repository available as a free service to the open-source community. Default used by Apache Maven, and available in all other build tools.
- [Cloudsmith ![c]](https://cloudsmith.io) - Fully managed package management SaaS with support for Maven/Gradle/SBT with a free tier.
- [Getdown](https://github.com/threerings/getdown) - System for deploying Java applications to end-user computers and keeping them up to date. Developed as an alternative to Java Web Start.
- [IzPack](http://izpack.org) - Setup authoring tool for cross-platform deployments.
- [JavaPackager](https://github.com/fvarrui/JavaPackager) - Maven and Gradle plugin which provides an easy way to package Java applications in native Windows, macOS or GNU/Linux executables, and generate installers for them.
- [jDeploy](https://www.jdeploy.com) - Deploy desktop apps as native Mac, Windows or Linux bundles.
- [jlink.online](https://github.com/AdoptOpenJDK/jlink.online) - Builds optimized runtimes over HTTP.
- [Nexus ![c]](https://www.sonatype.com) - Binary management with proxy and caching capabilities.
- [packr](https://github.com/libgdx/packr) - Packs JARs, assets and the JVM for native distribution on Windows, Linux and macOS.
- [really-executable-jars-maven-plugin](https://github.com/brianm/really-executable-jars-maven-plugin) - Maven plugin for making self-executing JARs.


Question: How to: Document Processing

Answer:
_Libraries that assist with processing office document formats._

- [Apache POI](https://poi.apache.org) - Supports OOXML (XLSX, DOCX, PPTX) as well as OLE2 (XLS, DOC or PPT).
- [documents4j](https://documents4j.com/#/) - API for document format conversion using third-party converters such as MS Word.
- [docx4j](https://www.docx4java.org/trac/docx4j) - Create and manipulate Microsoft Open XML files.
- [fastexcel](https://github.com/dhatim/fastexcel) - High performance library to read and write large Excel (XLSX) worksheets.
- [zerocell](https://github.com/creditdatamw/zerocell) - Annotation-based API for reading data from Excel sheets into POJOs with focus on reduced overhead.


Question: How to: Formal Verification

Answer:
_Formal-methods tools: proof assistants, model checking, symbolic execution, etc._

- [CATG](https://github.com/ksen007/janala2) - Concolic unit testing engine. Automatically generates unit tests using formal methods.
- [Checker Framework](https://checkerframework.org) - Pluggable type systems. Includes nullness types, physical units, immutability types and more. (GPL-2.0-only WITH Classpath-exception-2.0)
- [Daikon](https://plse.cs.washington.edu/daikon/) - Detects likely program invariants and generates JML specs based on those invariants.
- [Java Path Finder (JPF)](https://github.com/javapathfinder/jpf-core) - JVM formal verification tool containing a model checker and more. Created by NASA.
- [JMLOK 2.0](https://massoni.computacao.ufcg.edu.br/home/jmlok) - Detects inconsistencies between code and JML specification through feedback-directed random tests generation, and suggests a likely cause for each nonconformance detected. (GPL-3.0-only)
- [KeY](https://www.key-project.org) - Formal software development tool that aims to integrate design, implementation, formal specification, and formal verification of object-oriented software as seamlessly as possible. Uses JML for specification and symbolic execution for verification. (GPL-2.0-or-later)
- [OpenJML](http://www.openjml.org) - Translates JML specifications into SMT-LIB format and passes the proof problems implied by the program to backend solvers. (GPL-2.0-only)


Question: How to: Functional Programming

Answer:
_Libraries that facilitate functional programming._

- [Cyclops](https://github.com/aol/cyclops) - Monad and stream utilities, comprehensions, pattern matching, functional extensions for all JDK collections, future streams, trampolines and much more.
- [derive4j](https://github.com/derive4j/derive4j) - Java 8 annotation processor and framework for deriving algebraic data types constructors, pattern-matching and morphisms. (GPL-3.0-only)
- [Fugue](https://bitbucket.org/atlassian/fugue) - Functional extensions to Guava.
- [Functional Java](http://www.functionaljava.org) - Implements numerous basic and advanced programming abstractions that assist composition-oriented development.
- [jOOλ](https://github.com/jOOQ/jOOL) - Extension to Java 8 that aims to fix gaps in lambda by providing numerous missing types and a rich set of sequential Stream API additions.
- [Packrat](https://github.com/jhspetersson/packrat) - Gatherers library for Java Stream API. Gatherers can enhance streams with custom intermediate operations.
- [protonpack](https://github.com/poetix/protonpack) - Collection of stream utilities.
- [StreamEx](https://github.com/amaembo/streamex) - Enhances Java 8 Streams.
- [Vavr](https://www.vavr.io) - Functional component library that provides persistent data types and functional control structures.


Question: How to: Game Development

Answer:
_Frameworks that support the development of games._

- [FXGL](https://almasb.github.io/FXGL/) - JavaFX Game Development Framework.
- [JBox2D](http://www.jbox2d.org/) - Port of the renowned C++ 2D physics engine.
- [jMonkeyEngine](https://jmonkeyengine.org) - Game engine for modern 3D development.
- [libGDX](https://libgdx.com) - All-round cross-platform, high-level framework.
- [Litiengine](https://litiengine.com/) - AWT-based, lightweight 2D game engine.
- [LWJGL](https://www.lwjgl.org) - Robust framework that abstracts libraries like OpenGL/CL/AL.
- [Mini2Dx](https://mini2dx.org) - Beginner-friendly, master-ready framework for rapidly prototyping and building 2D games.
- [Void2D](https://github.com/xzripper/Void2D) - High-level 2D game engine with built-in physics based on Swing.
- [vulkan4j](https://github.com/chuigda/vulkan4j) - Vulkan, OpenGL ES2 and GLFW Memory Allocator bindings.


Question: How to: Geospatial

Answer:
_Libraries for working with geospatial data and algorithms._

- [Apache SIS](https://sis.apache.org) - Library for developing geospatial applications.
- [ArcGIS Maps SDK for Java ![c]](https://github.com/Esri/arcgis-maps-sdk-java-samples/) - JavaFX library for adding mapping and GIS functionality to desktop apps.
- [Geo](https://github.com/davidmoten/geo) - GeoHash utilities in Java.
- [GeoTools](https://geotools.org) - Library that provides tools for geospatial data. (LGPL-2.1-only)
- [GraphHopper](https://github.com/graphhopper/graphhopper) - Road-routing engine. Used as a Java library or standalone web service.
- [H2GIS](http://www.h2gis.org) - Spatial extension of the H2 database. (LGPL-3.0-only)
- [Jgeohash](https://astrapi69.github.io/jgeohash/) - Library for using the GeoHash algorithm.
- [Mapsforge](https://github.com/mapsforge/mapsforge) - Map rendering based on OpenStreetMap data. (LGPL-3.0-only)
- [Spatial4j](https://github.com/locationtech/spatial4j) - General-purpose spatial/geospatial library.


Question: How to: High Performance

Answer:
_Everything about high-performance computation, from collections to specific libraries._

- [Agrona](https://github.com/real-logic/Agrona) - Data structures and utility methods that are common in high-performance applications.
- [Disruptor](https://lmax-exchange.github.io/disruptor/) - Inter-thread messaging library.
- [Eclipse Collections](https://github.com/eclipse/eclipse-collections) - Collections framework inspired by Smalltalk.
- [fastutil](http://fastutil.di.unimi.it) - Fast and compact type-specific collections.
- [HPPC](https://labs.carrotsearch.com/hppc.html) - Primitive collections.
- [JCTools](https://github.com/JCTools/JCTools) - Concurrency tools currently missing from the JDK.
- [Koloboke](https://github.com/leventov/Koloboke) - Carefully designed extension of the Java Collections Framework with primitive specializations and more.


Question: How to: HTTP Clients

Answer:
_Libraries that assist with creating HTTP requests and/or binding responses._

- [Apache HttpComponents](https://hc.apache.org/) - Toolset of low-level Java components focused on HTTP and associated protocols.
- [Async Http Client](https://github.com/AsyncHttpClient/async-http-client) - Asynchronous HTTP and WebSocket client library.
- [Avaje Http Client](https://avaje.io/http-client) - Wrapper on JDK 11's HttpClient that adds Feign-like interface among other enhancements.
- [Feign](https://github.com/OpenFeign/feign) - HTTP client binder inspired by Retrofit, JAXRS-2.0, and WebSocket.
- [Google HTTP Client](https://github.com/googleapis/google-http-java-client) - Pluggable HTTP transport abstraction with support for java.net.HttpURLConnection, Apache HTTP Client, Android, Google App Engine, XML, Gson, Jackson and Protobuf.
- [methanol](https://github.com/mizosoft/methanol) - HTTP client extensions library.
- [Retrofit](https://square.github.io/retrofit/) - Typesafe REST client.
- [Ribbon](https://github.com/Netflix/ribbon) - Client-side IPC library that is battle-tested in the cloud.
- [Riptide](https://github.com/zalando/riptide) - Client-side response routing for Spring's RestTemplate.
- [unirest-java](https://github.com/Kong/unirest-java) - Simplified, lightweight HTTP client library.


Question: How to: Introspection

Answer:
_Libraries that help make the Java introspection and reflection API easier and faster to use._

- [ClassGraph](https://github.com/classgraph/classgraph) - ClassGraph (formerly FastClasspathScanner) is an uber-fast, ultra-lightweight, parallelized classpath scanner and module scanner for Java, Scala, Kotlin and other JVM languages.
- [jOOR](https://github.com/jOOQ/jOOR) - jOOR stands for jOOR Object Oriented Reflection. It is a simple wrapper for the java.lang.reflect package.
- [Mirror](http://projetos.vidageek.net/mirror/mirror/) - Mirror was created to bring light to a simple problem, usually named ReflectionUtil, which is on almost all projects that rely on reflection to do advanced tasks.
- [Objenesis](http://objenesis.org) - Allows dynamic instantiation without default constructor, e.g. constructors which have required arguments, side effects or throw exceptions.
- [ReflectASM](https://github.com/EsotericSoftware/reflectasm) - ReflectASM is a very small Java library that provides high performance reflection by using code generation.
- [Reflections](https://github.com/ronmamo/reflections) - Reflections scans your classpath, indexes the metadata, allows you to query it on runtime and may save and collect that information for many modules within your project.


Question: How to: Job Scheduling

Answer:
_Libraries for scheduling background jobs._

- [JobRunr](https://github.com/jobrunr/jobrunr) - Job scheduling library which utilizes lambdas for fire-and-forget, delayed and recurring jobs. Guarantees execution by single scheduler instance using optimistic locking. Has features for persistence, minimal dependencies and is embeddable.
- [Quartz](https://github.com/quartz-scheduler/quartz) - Feature-rich, open source job scheduling library that can be integrated within virtually any Java application.
- [Sundial](https://github.com/knowm/Sundial) - Lightweight framework to simply define jobs, define triggers and start the scheduler.
- [Wisp](https://github.com/Coreoz/Wisp) - Simple library with minimal footprint and straightforward API.
- [db-scheduler](https://github.com/kagkarlsson/db-scheduler) - Persistent and cluster-friendly scheduler.
- [easy-batch](https://github.com/j-easy/easy-batch) - Set up batch jobs with simple processing pipelines. Records are read in sequence from a data source, processed in pipeline and written in batches to a data sink.
- [shedlock](https://github.com/lukas-krecan/ShedLock) - Makes sure that your scheduled tasks are executed at most once at the same time. If a task is being executed on one node, it acquires a lock which prevents execution of the same task from another node or thread.


Question: How to: JVM and JDK

Answer:
_Current implementations of the JVM/JDK._

- [Which JDK](https://whichjdk.com/) - Overview of common JVMs with pros and cons.
- [Adopt Open JDK](https://adoptopenjdk.net) - Community-driven OpenJDK builds, including both HotSpot and OpenJ9.
- [Corretto](https://aws.amazon.com/corretto/) - No-cost, multiplatform, production-ready distribution of OpenJDK by Amazon. (GPL-2.0-only WITH Classpath-exception-2.0)
- [Dragonwell8](https://github.com/alibaba/dragonwell8) - Downstream version of OpenJDK optimized for online e-commerce, financial, logistics applications.
- [Graal](https://github.com/oracle/graal) - Polyglot embeddable JVM. (GPL-2.0-only WITH Classpath-exception-2.0)
- [Liberica JDK](https://bell-sw.com) - Built from OpenJDK, thoroughly tested and passed the JCK. (GPL-2.0-only WITH Classpath-exception-2.0)
- [OpenJ9](https://github.com/eclipse/openj9) - High performance, enterprise-calibre, flexibly licensed, openly-governed cross-platform JVM extending and augmenting the runtime technology components from the Eclipse OMR and OpenJDK project.
- [Open JDK](https://openjdk.java.net) - Open JDK community home. (GPL-2.0-only WITH Classpath-exception-2.0)
- [ParparVM](https://github.com/codenameone/CodenameOne/tree/master/vm) - VM with non-blocking, concurrent GC for iOS. (GPL-2.0-only WITH Classpath-exception-2.0)
- [RedHat Open JDK](https://developers.redhat.com/products/openjdk/overview) - RedHat's OpenJDK distribution. (GPL-2.0-only WITH Classpath-exception-2.0)
- [SAP Machine](https://sap.github.io/SapMachine/) - SAP's no-cost, rigorously tested and JCK-verified OpenJDK friendly fork. (GPL-2.0-only WITH Classpath-exception-2.0)
- [Zulu](https://www.azul.com/products/zulu-community/) - OpenJDK builds for Windows, Linux, and macOS. (GPL-2.0-only WITH Classpath-exception-2.0)
- [Microsoft JDK](https://github.com/microsoft/openjdk) - Microsoft Build of OpenJDK, Free, Open Source, Freshly Brewed!


Question: How to: Machine Learning

Answer:
_Tools that provide specific statistical algorithms for learning from data._

- [Apache Flink](https://flink.apache.org) - Fast, reliable, large-scale data processing engine.
- [Apache Mahout](https://mahout.apache.org) - Scalable algorithms focused on collaborative filtering, clustering and classification.
- [DatumBox](http://www.datumbox.com) - Provides several algorithms and pre-trained models for natural language processing.
- [Deeplearning4j](https://deeplearning4j.org) - Distributed and multi-threaded deep learning library.
- [DJL](https://djl.ai) - High-level and engine-agnostic framework for deep learning.
- [H2O ![c]](https://www.h2o.ai) - Analytics engine for statistics over big data.
- [Intelligent java](https://github.com/Barqawiz/IntelliJava) - Seamlessly integrate with remote deep learning and language models programmatically.
- [JSAT](https://github.com/EdwardRaff/JSAT) - Algorithms for pre-processing, classification, regression, and clustering with support for multi-threaded execution. (GPL-3.0-only)
- [m2cgen](https://github.com/BayesWitnesses/m2cgen) - CLI tool to transpile models into native code.
- [Neureka](https://github.com/Gleethos/neureka) - A lightweight, platform independent, OpenCL accelerated nd-array/tensor library.
- [oj! Algorithms](https://www.ojalgo.org/) - High-performance mathematics, linear algebra and optimisation needed for data science, machine learning and scientific computing.
- [Oryx 2](https://github.com/OryxProject/oryx) - Framework for building real-time, large-scale machine learning applications. Includes end-to-end applications for collaborative filtering, classification, regression, and clustering.
- [Siddhi](https://github.com/siddhi-io/siddhi) - Cloud native streaming and complex event processing engine.
- [Smile](https://github.com/haifengl/smile) - Statistical Machine Intelligence and Learning Engine provides a set of machine learning algorithms and a visualization library.
- [Tribuo](https://tribuo.org/) - Provides tools for classification, regression, clustering, model development and interfaces with other libraries such as scikit-learn, pytorch and TensorFlow.
- [Weka](https://www.cs.waikato.ac.nz/ml/weka/) - Collection of algorithms for data mining tasks ranging from pre-processing to visualization. (GPL-3.0-only)


Question: How to: Microservice

Answer:
_Tools for creating and managing microservices._

- [ActiveRPC](https://rpc.activej.io) - Lightweight and fast library for complex high-load distributed applications and Memcached-like solutions.
- [Armeria](https://github.com/line/armeria) - Asynchronous RPC/REST client/server library built on top of Java 8, Netty, HTTP/2, Thrift and gRPC.
- [consul-api](https://github.com/Ecwid/consul-api) - Client for the Consul API: a distributed, highly available and datacenter-aware registry/discovery service.
- [Eureka](https://github.com/Netflix/eureka) - REST-based service registry for resilient load balancing and failover.
- [Helidon](https://helidon.io) - Two-style approach for writing microservices: Functional-reactive and as an implementation of MicroProfile.
- [JDA](https://github.com/DV8FromTheWorld/JDA) - Wrapping of the Discord REST API and its WebSocket events.
- [KeenType](https://github.com/DaveJarvis/KeenType) - Modernized version of a Java-based implementation of the New Typesetting System, which was heavily based on Donald E. Knuth's original TeX.
- [kubernetes-client](https://github.com/fabric8io/kubernetes-client) - Client provides access to the full Kubernetes & OpenShift REST APIs via a fluent DSL.
- [Micronaut](https://micronaut.io) - Modern full-stack framework with focus on modularity, minimal memory footprint and startup time.
- [Nacos](https://nacos.io) - Dynamic service discovery, configuration and service management platform for building cloud native applications.
- [OpenAI-Java](https://github.com/TheoKanning/openai-java) - Java libraries for using OpenAI's GPT-3 API.
- [Quarkus](https://quarkus.io) - Kubernetes stack tailored for the HotSpot and Graal VM.
- [Sentinel](https://github.com/alibaba/Sentinel) - Flow control component enabling reliability, resilience and monitoring for microservices.


Question: How to: Miscellaneous

Answer:
_Everything else._

- [CQEngine](https://github.com/npgall/cqengine) - Ultra-fast, SQL-like queries on Java collections.
- [Design Patterns](https://github.com/iluwatar/java-design-patterns) - Implementation and explanation of the most common design patterns.
- [FF4J](https://github.com/ff4j/ff4j) - Feature Flags for Java.
- [FizzBuzz Enterprise Edition](https://github.com/EnterpriseQualityCoding/FizzBuzzEnterpriseEdition) - No-nonsense implementation of FizzBuzz made by serious businessmen for serious business purposes. (No explicit license)
- [IP2Location.io Java SDK](https://github.com/ip2location/ip2location-io-java) - Wrapper for the IP2Location.io Geolocation API and the IP2WHOIS domain WHOIS API.
- [ISBN core](https://github.com/ladutsko/isbn-core) - A small library that contains a representation object of ISBN-10 and ISBN-13 and tools to parse, validate and format one.
- [J2ObjC](https://github.com/google/j2objc) - Java-to-Objective-C translator for porting Android libraries to iOS.
- [JBake](https://jbake.org) - Static website generator.
- [JBang](https://www.jbang.dev/) - JBang makes it easy to use Java for scripting. It lets you use a single file for code and dependency management and allows you to run it directly.
- [JBot](https://github.com/rampatra/jbot) - Framework for building chatbots. (GPL-3.0-only)
- [JCuda](http://jcuda.org) - JCuda offers Java bindings for CUDA and CUDA-related libraries.
- [JEmoji](https://github.com/felldo/JEmoji) - An auto-generated emoji library that provides type-safe direct access to emojis and alias support for Discord, Slack, GitHub and many more features.
- [Jimfs](https://github.com/google/jimfs) - In-memory file system.
- [JObfuscator![c]](https://www.pelock.com/products/jobfuscator) - Source code obfuscator.
- [Joda-Money](https://www.joda.org/joda-money/) - Basic currency and money classes and algorithms not provided by the JDK.
- [jOOX](https://github.com/jooq/joox) - Simple wrapper for the org.w3c.dom package, to allow for fluent XML document creation and manipulation with an API inspired by jQuery.
- [JPad](http://jpad.io) - Snippet runner.
- [jsweet](https://github.com/cincheo/jsweet) - Source transpiler to TypeScript/JavaScript.
- [Maven Wrapper](https://github.com/takari/maven-wrapper) - Analogue of Gradle Wrapper for Maven, allows building projects without installing maven.
- [Membrane Service Proxy](https://github.com/membrane/service-proxy) - Open-source, reverse-proxy framework.
- [MinimalFTP](https://github.com/Guichaguri/MinimalFTP) - Lightweight, small and customizable FTP server.
- [LittleProxy](https://github.com/adamfisk/LittleProxy) - High performance HTTP proxy atop Netty's event-based networking library.
- [Modern Java - A Guide to Java 8](https://github.com/winterbe/java8-tutorial) - Popular Java 8 guide.
- [Modernizer](https://github.com/gaul/modernizer-maven-plugin) - Detect uses of legacy Java APIs.
- [OctoLinker](https://github.com/OctoLinker/OctoLinker) - Browser extension which allows to navigate through code on GitHub more efficiently.
- [OpenRefine](http://openrefine.org) - Tool for working with messy data: cleaning, transforming, extending it with web services and linking it to databases.
- [PipelinR](https://github.com/sizovs/pipelinr) - Small utility library for using handlers and commands with pipelines.
- [Polyglot for Maven](https://github.com/takari/polyglot-maven) - Extensions for Maven 3.3.1+ that allows writing the POM model in dialects other than XML.
- [RR4J](https://github.com/Kartikvk1996/RR4J) - RR4J is a tool that records java bytecode execution and later allows developers to replay locally.
- [Simple Java Mail](https://github.com/bbottema/simple-java-mail) - Mailing with a clean and fluent API.
- [Smooks](https://github.com/smooks/smooks) - Framework for fragment-based message processing. (Apache-2.0 OR LGPL-3.0-or-later)
- [Svix](https://github.com/svix/svix-webhooks/tree/main/java) - Library for the Svix API to send webhooks and verify signatures.
- [Togglz](https://www.togglz.org) - Implementation of the Feature Toggles pattern.
- [TypeTools](https://github.com/jhalterman/typetools) - Tools for resolving generic types.
- [webcam-capture](https://github.com/sarxos/webcam-capture) - Library for using built-in and external webcams directly in Java.
- [XMLBeam](https://github.com/SvenEwald/xmlbeam) - Processes XML by using annotations or XPath within code.
- [yGuard](https://github.com/yWorks/yGuard) - Obfuscation via renaming and shrinking.


Question: How to: Mobile Development

Answer:
_Tools for creating or managing mobile applications._

- [Codename One](https://www.codenameone.com) - Cross-platform solution for writing native mobile apps. (GPL-2.0-only WITH Classpath-exception-2.0)
- [MobileUI](https://mobileui.dev) - Cross-platform framework for developing mobile apps with native UI in Java and Kotlin.
- [Multi-OS Engine](https://multi-os-engine.org) - Open-source, cross-platform engine to develop native mobile (iOS, Android, etc.) apps.


Question: How to: Monitoring

Answer:
_Tools that observe/monitor applications in production by providing telemetry._

- [Apitally](https://github.com/apitally/apitally-java) - Simple, privacy-focused API monitoring, analytics and request logging for Spring Boot apps.
- [Automon](https://github.com/stevensouza/automon) - Combines the power of AOP with monitoring and/or logging tools.
- [Datadog ![c]](https://github.com/DataDog/dd-trace-java) - Modern monitoring & analytics.
- [Dropwizard Metrics](https://github.com/dropwizard/metrics) - Expose metrics via JMX or HTTP and send them to a database.
- [Failsafe Actuator](https://github.com/zalando/failsafe-actuator) - Out of the box monitoring of Failsafe Circuit Breaker in Spring-Boot environment.
- [Glowroot](https://glowroot.org) - Open-source Java APM.
- [HertzBeat](https://github.com/dromara/hertzbeat) - Real-time monitoring system with custom-monitor and agentless.
- [hippo4j](https://github.com/opengoofy/hippo4j/blob/develop/README-EN.md) - Dynamic and observable thread pool framework.
- [inspectIT](https://www.inspectit.rocks) - Captures detailed run-time information via hooks that can be changed on the fly. It supports tracing over multiple systems via the OpenTracing API and can correlate the data with end user monitoring.
- [Instrumental ![c]](https://instrumentalapp.com) - Real-time Java application performance monitoring. A commercial service with free development accounts.
- [Jaeger client](https://github.com/jaegertracing/jaeger-client-java) - Jaeger client.
- [JavaMelody](https://github.com/javamelody/javamelody) - Performance monitoring and profiling.
- [jmxtrans](https://github.com/jmxtrans/jmxtrans) - Connect to multiple JVMs and query them for their attributes via JMX. Its query language is based on JSON, which allows non-Java programmers to access the JVM attributes. Supports different output writes, including Graphite, Ganglia, and StatsD.
- [Jolokia](https://jolokia.org) - JMX over REST.
- [Micrometer](https://github.com/micrometer-metrics/micrometer) - Vendor-neutral metrics/observability facade for the most popular metrics/observability libraries.
- [Micrometer Tracing](https://github.com/micrometer-metrics/tracing) - Vendor-neutral distributed tracing facade for the most popular tracer libraries.
- [nudge4j](https://github.com/lorenzoongithub/nudge4j) - Remote developer console from the browser for Java 8 via bytecode injection.
- [OpenTelemetry](https://github.com/open-telemetry/opentelemetry-java) - Instrument, generate, collect, and export telemetry data to help you analyze your software’s performance and behavior.
- [Pinpoint](https://github.com/naver/pinpoint) - Open-source APM tool.
- [Prometheus](https://github.com/prometheus/client_java) - Provides a multi-dimensional data model, DSL, autonomous server nodes and much more.
- [Sentry ![c]](https://github.com/getsentry/sentry-java) - Integration with [Sentry](https://github.com/getsentry/sentry), an application error tracking and performance analysis platform.
- [SPM ![c]](https://github.com/sematext/sematext-agent-java) - Performance monitor with distributing transaction tracing for JVM apps.
- [Stagemonitor](https://github.com/stagemonitor/stagemonitor) - Open-source performance monitoring and transaction tracing for JVM apps.
- [Sysmon](https://github.com/palantir/Sysmon) - Lightweight platform monitoring tool for Java VMs.
- [zipkin](https://zipkin.io) - Distributed tracing system which gathers timing data needed to troubleshoot latency problems in microservice architectures.


Question: How to: Natural Language Processing

Answer:
_Libraries that specialize in processing text._

- [CogCompNLP](https://github.com/CogComp/cogcomp-nlp) - Provides common annotators for plain text input. (Research and Academic Use License)
- [CoreNLP](https://nlp.stanford.edu/software/corenlp.shtml) - Provides a set of fundamental tools for tasks like tagging, named entity recognition, and sentiment analysis. (GPL-3.0-or-later)
- [DKPro](https://dkpro.github.io) - Collection of reusable NLP tools for linguistic pre-processing, machine learning, lexical resources, etc.
- [Hypherator](https://github.com/ejossev/hypherator-java) - Java hyphenation library with iterator-like interface. Can be used out-of-the box - dictionaries for multiple languages are bundled in.
- [LingPipe](http://alias-i.com/lingpipe/) - Toolkit for tasks ranging from POS tagging to sentiment analysis.


Question: How to: Networking

Answer:
_Libraries for building network servers._

- [Commons-networking](https://github.com/CiscoSE/commons-networking) - Client for server-sent events (SSE).
- [Comsat](https://github.com/puniverse/comsat) - Integrates standard Java web-related APIs with Quasar fibers and actors.
- [Dubbo](https://github.com/apache/dubbo) - High-performance RPC framework.
- [Grizzly](https://javaee.github.io/grizzly/) - NIO framework. Used as a network layer in Glassfish.
- [gRPC-java](https://github.com/grpc/grpc-java) - RPC framework based on protobuf and HTTP/2.
- [KryoNet](https://github.com/EsotericSoftware/kryonet) - Provides a clean and simple API for efficient TCP and UDP client/server network communication using NIO and Kryo.
- [MINA](https://mina.apache.org) - Abstract, event-driven async I/O API for network operations over TCP/IP and UDP/IP via Java NIO.
- [Netty](https://netty.io) - Framework for building high-performance network applications.
- [Drift](https://github.com/airlift/drift) - Easy-to-use, annotation-based library for creating Thrift clients and serializable types.
- [ServiceTalk](https://github.com/apple/servicetalk) - Framework built on Netty with APIs tailored to specific protocols and support for multiple programming paradigms.
- [sshj](https://github.com/hierynomus/sshj) - Programmatically use SSH, SCP or SFTP.
- [TLS Channel](https://github.com/marianobarrios/tls-channel) - Implements a ByteChannel interface over SSLEngine, enabling easy-to-use (socket-like) TLS.
- [Undertow](http://undertow.io) - Web server providing both blocking and non-blocking APIs based on NIO. Used as a network layer in WildFly. (LGPL-2.1-only)
- [urnlib](https://github.com/slub/urnlib) - Represent, parse and encode URNs, as in RFC 2141. (GPL-3.0-only)
- [Fluency](https://github.com/komamitsu/fluency) - High throughput data ingestion logger to Fluentd and Fluent Bit.


Question: How to: Pathfinding

Answer:
_Algorithms and libraries for finding routes in graphs and spatial environments._

- [Pathetic](https://github.com/bsommerfeld/pathetic) - A highly configurable 3D A\* pathfinding library that uses specific optimizations for high performance.


Question: How to: Performance analysis

Answer:
_Tools for performance analysis, profiling and benchmarking._

- [fastThread ![c]](https://fastthread.io) - Analyze and visualize thread dumps with a free cloud-based upload interface.
- [GCeasy ![c]](https://gceasy.io) - Tool to analyze and visualize GC logs. It provides a free cloud-based upload interface.
- [honest-profiler](https://github.com/jvm-profiling-tools/honest-profiler) - Low-overhead, bias-free sampling profiler.
- [jHiccup](https://github.com/giltene/jHiccup) - Logs and records platform JVM stalls.
- [JITWatch](https://github.com/AdoptOpenJDK/jitwatch) - Analyze the JIT compiler optimisations made by the HotSpot JVM.
- [JMH](http://openjdk.java.net/projects/code-tools/jmh/) - Harness for building, running, and analysing nano/micro/milli/macro benchmarks written in Java and other languages targeting the JVM. (GPL-2.0 only WITH Classpath-exception-2.0)
- [LatencyUtils](https://github.com/LatencyUtils/LatencyUtils) - Utilities for latency measurement and reporting.


Question: How to: Reactive libraries

Answer:
_Libraries for developing reactive applications._

- [Akka](https://akka.io) - Toolkit and runtime for building concurrent, distributed, fault-tolerant and event-driven applications.
- [Reactive Streams](https://github.com/reactive-streams/reactive-streams-jvm) - Provides a standard for asynchronous stream processing with non-blocking backpressure.
- [Reactor](https://github.com/reactor/reactor) - A framework for building non-blocking applications on the JVM, providing support for reactive programming.
- [RxJava](https://github.com/ReactiveX/RxJava) - Allows for composing asynchronous and event-based programs using observable sequences.
- [vert.x](https://vertx.io) - Polyglot event-driven application framework.


Question: How to: REST Frameworks

Answer:
_Frameworks specifically for creating RESTful services._

- [Dropwizard](https://github.com/dropwizard/dropwizard) - Opinionated framework for setting up modern web applications with Jetty, Jackson, Jersey and Metrics.
- [Elide](https://elide.io) - Opinionated framework for JSON- or GraphQL-APIs based on a JPA data model.
- [Jersey](https://jersey.github.io) - JAX-RS reference implementation.
- [Microserver](https://github.com/aol/micro-server) - Convenient, extensible microservices plugin system for Spring & Spring Boot. With more than 30 plugins and growing, it supports both micro-monolith and pure microservices styles.
- [Rapidoid](https://www.rapidoid.org) - Simple, secure and extremely fast framework consisting of an embedded HTTP server, GUI components and dependency injection.
- [rest.li](https://github.com/linkedin/rest.li) - Framework for building robust, scalable RESTful architectures using typesafe bindings and asynchronous, non-blocking IO with an end-to-end developer workflow that promotes clean practices, uniform interface design and consistent data modeling.
- [RESTEasy](https://resteasy.github.io) - Fully certified and portable implementation of the JAX-RS specification.
- [RestExpress](https://github.com/RestExpress/RestExpress) - Thin wrapper on the JBoss Netty HTTP stack that provides scaling and performance.
- [Restlet Framework](https://github.com/restlet/restlet-framework-java) - Pioneering framework with powerful routing and filtering capabilities, and a unified client and server API.
- [Spark](http://sparkjava.com) - Sinatra inspired framework.
- [Crnk](http://www.crnk.io) - Implementation of the JSON API specification to build resource-oriented REST endpoints with sorting, filtering, paging, linking, object graphs, type-safety, bulk updates, integrations and more.
- [springdoc-openapi](https://github.com/springdoc/springdoc-openapi) - Automates the generation of API documentation using Spring Boot projects.
- [Swagger](https://swagger.io) - Standard, language-agnostic interface to REST APIs.
- [openapi-generator](https://github.com/OpenAPITools/openapi-generator) - Allows generation of API client libraries, SDKs, server stubs, documentation and configuration automatically given an OpenAPI Spec.


Question: How to: Serialization

Answer:
_Libraries that handle serialization with high efficiency._

- [FlatBuffers](https://github.com/google/flatbuffers) - Memory-efficient serialization library that can access serialized data without unpacking and parsing it.
- [FST](https://github.com/RuedigerMoeller/fast-serialization) - JDK-compatible, high-performance object graph serialization.
- [Fury](https://github.com/alipay/fury) - Blazing fast object graph serialization framework powered by JIT and zero-copy.
- [Kryo](https://github.com/EsotericSoftware/kryo) - Fast and efficient object graph serialization framework.
- [MessagePack](https://github.com/msgpack/msgpack-java) - Efficient binary serialization format.
- [PHP Serializer](https://github.com/marcospassos/java-php-serializer) - Serializing objects in the PHP serialization format.


Question: How to: Template Engine

Answer:
_Tools that substitute expressions in a template._

- [Freemarker](https://freemarker.apache.org) - Library to generate text output (HTML web pages, e-mails, configuration files, source code, etc.) based on templates and changing data.
- [Handlebars.java](https://jknack.github.io/handlebars.java/) - Logicless and semantic Mustache templates.
- [Jade4J](https://github.com/neuland/jade4j) - Implementation of Pug (formerly known as Jade).
- [Jamal](https://github.com/verhas/jamal) - Extendable template engine embedded into Maven/JavaDoc, supporting multiple extensions (Groovy, Ruby, JavaScript, JShell, PlantUml) with support for snippet handling.
- [jstachio](https://github.com/jstachio/jstachio) - Typesafe Mustache templating engine.
- [jte](https://github.com/casid/jte) - Compiles to classes, and uses an easy syntax, several features to make development easier and provides fast execution and a small footprint.
- [Jtwig](https://github.com/jtwig/jtwig) - Modular, configurable and fully tested template engine.
- [Pebble](https://pebbletemplates.io) - Inspired by Twig and separates itself with its inheritance feature and its easy-to-read syntax. It ships with built-in autoescaping for security and it includes integrated support for internationalization.
- [Rocker](https://github.com/fizzed/rocker) - Optimized, memory efficient and speedy template engine producing statically typed, plain objects.
- [StringTemplate](https://github.com/antlr/stringtemplate4) - Template engine for generating source code, web pages, emails, or any other formatted text output.
- [Thymeleaf](https://www.thymeleaf.org) - Aims to be a substitute for JSP and works for XML files.


Question: How to: Version Managers

Answer:
_Utilities that help create the development shell environment and switch between different Java versions._

- [jabba](https://github.com/shyiko/jabba) - Java Version Manager inspired by nvm. Supports macOS, Linux and Windows.
- [jenv](https://github.com/jenv/jenv) - Java Version Manager inspired by rbenv. Can configure globally or per project. Tested on Debian and macOS.
- [SDKMan](https://github.com/sdkman/sdkman-cli) - Java Version Manager inspired by RVM and rbenv. Supports UNIX-based platforms and Windows.


Question: How to: Web Crawling

Answer:
_Libraries that analyze the content of websites._

- [Apache Nutch](https://nutch.apache.org) - Highly extensible, highly scalable web crawler for production environments.
- [Crawler4j](https://github.com/yasserg/crawler4j) - Simple and lightweight web crawler.
- [jsoup](https://jsoup.org) - Scrapes, parses, manipulates and cleans HTML.
- [StormCrawler](http://stormcrawler.net) - SDK for building low-latency and scalable web crawlers.
- [webmagic](https://github.com/code4craft/webmagic) - Scalable crawler with downloading, url management, content extraction and persistent.


Question: How to: Web Frameworks

Answer:
_Frameworks that handle the communication between the layers of a web application._

- [ActiveJ](https://activej.io) - Lightweight asynchronous framework built from the ground up for developing high-performance web applications.
- [Apache Tapestry](https://tapestry.apache.org) - Component-oriented framework for creating dynamic, robust, highly scalable web applications.
- [Apache Wicket](https://wicket.apache.org) - Component-based web application framework similar to Tapestry, with a stateful GUI.
- [Blade](https://github.com/lets-blade/blade) - Lightweight, modular framework that aims to be elegant and simple.
- [Bootique](https://bootique.io) - Minimally opinionated framework for runnable apps.
- [Firefly](http://www.fireflysource.com) - Asynchronous framework for rapid development of high-performance web application.
- [Javalin](https://javalin.io/) - Microframework for web applications.
- [Jooby](http://www.jooby.org) - Scalable, fast and modular micro-framework that offers multiple programming models.
- [Ninja](http://www.ninjaframework.org) - Full-stack web framework.
- [Pippo](http://www.pippo.ro) - Small, highly modularized, Sinatra-like framework.
- [Play](https://www.playframework.com) - Built on Akka, it provides predictable and minimal resource consumption (CPU, memory, threads) for highly-scalable applications in Java and Scala.
- [PrimeFaces](https://www.primefaces.org) - JSF framework with both free and commercial/support versions and frontend components.
- [Ratpack](https://ratpack.io) - Set of libraries that facilitate fast, efficient, evolvable and well-tested HTTP applications.
- [Takes](https://github.com/yegor256/takes) - Opinionated web framework which is built around the concepts of True Object-Oriented Programming and immutability.
- [Vaadin](https://vaadin.com) - Full-stack open-source Java framework that simplifies web app development. Build complex, interactive applications with Java alone, and enhance with TypeScript and React components, without needing deep JavaScript, CSS, or HTML expertise.
- [WebForms Core](https://github.com/webforms-core) - A technology for managing HTML tags from the server.
- [Erupt](https://github.com/erupts/erupt) - Annotation-Driven Low-Code & JPA Visualization


Question: How to: Workflow Orchestration Engines

Answer:
- [Cadence](https://cadenceworkflow.io) - Stateful code platform from Uber.
- [flowable](https://github.com/flowable/flowable-engine) - Compact and efficient workflow and business process management platform.
- [Temporal](https://temporal.io) - Microservice orchestration platform, forked from Cadence but gRPC based.


Question: How to: Related Awesome Lists

Answer:
_Awesome Lists related to the Java & JVM ecosystem._

- [Awesome Annotation Processing](https://github.com/gunnarmorling/awesome-annotation-processing)
- [Awesome Graal](https://github.com/neomatrix369/awesome-graal)
- [Awesome Gradle Plugins](https://github.com/ksoichiro/awesome-gradle)
- [Awesome Java libraries and hidden gems](https://libs.tech/java)
- [Awesome J2ME](https://github.com/hstsethi/awesome-j2me)
- [AwesomeJavaFX](https://github.com/mhrimaz/AwesomeJavaFX)
- [Awesome JVM](https://github.com/deephacks/awesome-jvm)
- [Awesome Microservices](https://github.com/mfornos/awesome-microservices)
- [Awesome REST](https://github.com/marmelab/awesome-rest)
- [Awesome Selenium](https://github.com/christian-bromann/awesome-selenium)
- [Awesome Hybris](https://github.com/eminyagiz42/awesome-hybris)
- [ciandcd](https://github.com/ciandcd/awesome-ciandcd)
- [Useful Java Links](https://github.com/Vedenin/useful-java-links)
- [Java Concurrency Checklist](https://github.com/code-review-checklists/java-concurrency)
- [Java Developer Roadmap](https://github.com/s4kibs4mi/java-developer-roadmap)


Question: How to: Communities

Answer:
_Active discussions._

- [r/java](https://www.reddit.com/r/java/) - Subreddit for the Java community.
- [Stack Overflow](https://stackoverflow.com/questions/tagged/java) - Question/answer platform.


Question: How to: Influential Books

Answer:
_Books that made a big impact and are still worth reading._

- [Core Java Volume I--Fundamentals](https://www.amazon.com/Core-Java-I-Fundamentals-10th/dp/0134177304)
- [Core Java, Volume II--Advanced Features](https://www.amazon.com/Core-Java-II-Advanced-Features-10th/dp/0134177290)
- [Effective Java (3rd Edition)](https://www.amazon.com/Effective-Java-3rd-Joshua-Bloch/dp/0134685997)
- [Head First Java (3rd Edition)](https://www.oreilly.com/library/view/head-first-java/9781492091646/)
- [Java Concurrency in Practice](https://www.amazon.com/Java-Concurrency-Practice-Brian-Goetz/dp/0321349601)
- [The Well-Grounded Java Developer (2nd Edition)](https://www.manning.com/books/the-well-grounded-java-developer-second-edition)
- [Thinking in Java](https://www.amazon.com/Thinking-Java-Edition-Bruce-Eckel/dp/0131872486)


Question: How to: Podcasts and Screencasts

Answer:
_Something to look at or listen to while programming._

- [140 Second Ducklings](https://twitter.com/debugagent/status/1491075324805001219) - Short videos on Twitter explaining Java debugging in depth.
- [A Bootiful Podcast](https://bootifulpodcast.fm)
- [Foojay Podcast](https://foojay.io/today/category/podcast/)
- [Inside Java](https://inside.java/podcast) (Official)
- [Java Off Heap](http://www.javaoffheap.com)
- [The Java Posse](http://www.javaposse.com) - Discontinued as of 02/2015.


Question: How to: Contributing

Answer:
Contributions are very welcome!

Please have a look at the [CONTRIBUTING](https://github.com/akullpp/awesome-java/blob/master/CONTRIBUTING.md) guidelines and [the validation tools](https://github.com/akullpp/awesome-java-lint).

[c]: https://cdn.rawgit.com/akullpp/23246ca832bda82bb505230bf3538e2a/raw/d9bcdb769bf025292f9c6bc1290f01f1fcd1f864/commercial.svg


Question: How to: Inside .env

Answer:
GITHUB_USERNAME="CHANGE_THIS_TO_YOUR_USERNAME"  # ← CHANGE THIS
```
```bash
source .env
```


Question: How to: Virtual environment

Answer:
Local
```bash
  export PYTHONPATH=$PYTHONPATH:$PWD
  python3 -m venv venv  # recommend using Python 3.10
  source venv/bin/activate  # on Windows: venv\Scripts\activate
  python3 -m pip install --upgrade pip setuptools wheel
  python3 -m pip install -r requirements.txt
  pre-commit install
  pre-commit autoupdate
  ```

  > Highly recommend using Python `3.10` and using [pyenv](https://github.com/pyenv/pyenv) (mac) or [pyenv-win](https://github.com/pyenv-win/pyenv-win) (windows).
Anyscale
Our environment with the appropriate Python version and libraries is already all set for us through the cluster environment we used when setting up our Anyscale Workspace. So we just need to run these commands:
  ```bash
  export PYTHONPATH=$PYTHONPATH:$PWD
  pre-commit install
  pre-commit autoupdate
  ```


Question: How to: Experiment tracking

Answer:
We'll use [MLflow](https://mlflow.org/) to track our experiments and store our models and the [MLflow Tracking UI](https://www.mlflow.org/docs/latest/tracking.html#tracking-ui) to view our experiments. We have been saving our experiments to a local directory but note that in an actual production setting, we would have a central location to store all of our experiments. It's easy/inexpensive to spin up your own MLflow server for all of your team members to track their experiments on or use a managed solution like [Weights & Biases](https://wandb.ai/site), [Comet](https://www.comet.ml/), etc.

```bash
export MODEL_REGISTRY=$(python -c "from madewithml import config; print(config.MODEL_REGISTRY)")
mlflow server -h 0.0.0.0 -p 8080 --backend-store-uri $MODEL_REGISTRY
```
Local
If you're running this notebook on your local laptop then head on over to
http://localhost:8080/
to view your MLflow dashboard.
Anyscale
If you're on
Anyscale Workspaces
, then we need to first expose the port of the MLflow server. Run the following command on your Anyscale Workspace terminal to generate the public URL to your MLflow server.

  ```bash
  APP_PORT=8080
  echo https://$APP_PORT-port-$ANYSCALE_SESSION_DOMAIN
  ```


Question: How to: Evaluation

Answer:
```bash
export EXPERIMENT_NAME="llm"
export RUN_ID=$(python madewithml/predict.py get-best-run-id --experiment-name $EXPERIMENT_NAME --metric val_loss --mode ASC)
export HOLDOUT_LOC="https://raw.githubusercontent.com/GokuMohandas/Made-With-ML/main/datasets/holdout.csv"
python madewithml/evaluate.py \
    --run-id $RUN_ID \
    --dataset-loc $HOLDOUT_LOC \
    --results-fp results/evaluation_results.json
```
```json
{
  "timestamp": "June 09, 2023 09:26:18 AM",
  "run_id": "6149e3fec8d24f1492d4a4cabd5c06f6",
  "overall": {
    "precision": 0.9076136428670714,
    "recall": 0.9057591623036649,
    "f1": 0.9046792827719773,
    "num_samples": 191.0
  },
...
```


Question: How to: Production

Answer:
From this point onwards, in order to deploy our application into production, we'll need to either be on Anyscale or on a [cloud VM](https://docs.ray.io/en/latest/cluster/vms/index.html#cloud-vm-index) / [on-prem](https://docs.ray.io/en/latest/cluster/vms/user-guides/launching-clusters/on-premises.html#on-prem) cluster you manage yourself (w/ Ray). If not on Anyscale, the commands will be [slightly different](https://docs.ray.io/en/latest/cluster/running-applications/job-submission/index.html) but the concepts will be the same.

> If you don't want to set up all of this yourself, we highly recommend joining our [upcoming live cohort](https://4190urw86oh.typeform.com/madewithml){:target="_blank"} where we'll provide an environment with all of this infrastructure already set up for you so that you just focused on the machine learning.


Question: How to: Authentication

Answer:
These credentials below are **automatically** set for us if we're using Anyscale Workspaces. We **do not** need to set these credentials explicitly on Workspaces but we do if we're running this locally or on a cluster outside of where our Anyscale Jobs and Services are configured to run.

``` bash
export ANYSCALE_HOST=https://console.anyscale.com
export ANYSCALE_CLI_TOKEN=$YOUR_CLI_TOKEN  # retrieved from Anyscale credentials page
```


Question: How to: Cluster environment

Answer:
The cluster environment determines **where** our workloads will be executed (OS, dependencies, etc.) We've already created this [cluster environment](./deploy/cluster_env.yaml) for us but this is how we can create/update one ourselves.

```bash
export CLUSTER_ENV_NAME="madewithml-cluster-env"
anyscale cluster-env build deploy/cluster_env.yaml --name $CLUSTER_ENV_NAME
```


Question: How to: Compute configuration

Answer:
The compute configuration determines **what** resources our workloads will be executes on. We've already created this [compute configuration](./deploy/cluster_compute.yaml) for us but this is how we can create it ourselves.

```bash
export CLUSTER_COMPUTE_NAME="madewithml-cluster-compute-g5.4xlarge"
anyscale cluster-compute create deploy/cluster_compute.yaml --name $CLUSTER_COMPUTE_NAME
```


Question: How to: Anyscale jobs

Answer:
Now we're ready to execute our ML workloads. We've decided to combine them all together into one [job](./deploy/jobs/workloads.yaml) but we could have also created separate jobs for each workload (train, evaluate, etc.) We'll start by editing the `$GITHUB_USERNAME` slots inside our [`workloads.yaml`](./deploy/jobs/workloads.yaml) file:
```yaml
runtime_env:
  working_dir: .
  upload_path: s3://madewithml/$GITHUB_USERNAME/jobs  # <--- CHANGE USERNAME (case-sensitive)
  env_vars:
    GITHUB_USERNAME: $GITHUB_USERNAME  # <--- CHANGE USERNAME (case-sensitive)
```

The `runtime_env` here specifies that we should upload our current `working_dir` to an S3 bucket so that all of our workers when we execute an Anyscale Job have access to the code to use. The `GITHUB_USERNAME` is used later to save results from our workloads to S3 so that we can retrieve them later (ex. for serving).

Now we're ready to submit our job to execute our ML workloads:
```bash
anyscale job submit deploy/jobs/workloads.yaml
```


Question: How to: Anyscale Services

Answer:
And after our ML workloads have been executed, we're ready to launch our serve our model to production. Similar to our Anyscale Jobs configs, be sure to change the `$GITHUB_USERNAME` in [`serve_model.yaml`](./deploy/services/serve_model.yaml).

```yaml
ray_serve_config:
  import_path: deploy.services.serve_model:entrypoint
  runtime_env:
    working_dir: .
    upload_path: s3://madewithml/$GITHUB_USERNAME/services  # <--- CHANGE USERNAME (case-sensitive)
    env_vars:
      GITHUB_USERNAME: $GITHUB_USERNAME  # <--- CHANGE USERNAME (case-sensitive)
```

Now we're ready to launch our service:
```bash


Question: How to: Rollout service

Answer: anyscale service rollout -f deploy/services/serve_model.yaml


Question: How to: Rollback (to previous version of the Service)

Answer: anyscale service rollback -f $SERVICE_CONFIG --name $SERVICE_NAME


Question: How to: Continual learning

Answer: With our CI/CD workflow in place to deploy our application, we can now focus on continually improving our model. It becomes really easy to extend on this foundation to connect to scheduled runs (cron), [data pipelines](https://madewithml.com/courses/mlops/data-engineering/), drift detected through [monitoring](https://madewithml.com/courses/mlops/monitoring/), [online evaluation](https://madewithml.com/courses/mlops/evaluation/#online-evaluation), etc. And we can easily add additional context such as comparing any experiment with what's currently in production (directly in the PR even), etc.


Question: How to: Jupyter notebook kernels

Answer:
Issues with configuring the notebooks with jupyter? By default, jupyter will use the kernel with our virtual environment but we can also manually add it to jupyter:
```bash
python3 -m ipykernel install --user --name=venv
```
Now we can open up a notebook → Kernel (top menu bar) → Change Kernel → `venv`. To ever delete this kernel, we can do the following:
```bash
jupyter kernelspec list
jupyter kernelspec uninstall venv
```


Question: How to: MinIO Quickstart Guide

Answer:
[![Slack](https://slack.min.io/slack?type=svg)](https://slack.min.io) [![Docker Pulls](https://img.shields.io/docker/pulls/minio/minio.svg?maxAge=604800)](https://hub.docker.com/r/minio/minio/) [![license](https://img.shields.io/badge/license-AGPL%20V3-blue)](https://github.com/minio/minio/blob/master/LICENSE)

[![MinIO](https://raw.githubusercontent.com/minio/minio/master/.github/logo.svg?sanitize=true)](https://min.io)

MinIO is a high-performance, S3-compatible object storage solution released under the GNU AGPL v3.0 license.
Designed for speed and scalability, it powers AI/ML, analytics, and data-intensive workloads with industry-leading performance.

- S3 API Compatible – Seamless integration with existing S3 tools
- Built for AI & Analytics – Optimized for large-scale data pipelines
- High Performance – Ideal for demanding storage workloads.

This README provides instructions for building MinIO from source and deploying onto baremetal hardware.
Use the [MinIO Documentation](https://github.com/minio/docs) project to build and host a local copy of the documentation.


Question: How to: MinIO is Open Source Software

Answer:
We designed MinIO as Open Source software for the Open Source software community. We encourage the community to remix, redesign, and reshare MinIO under the terms of the AGPLv3 license.

All usage of MinIO in your application stack requires validation against AGPLv3 obligations, which include but are not limited to the release of modified code to the community from which you have benefited. Any commercial/proprietary usage of the AGPLv3 software, including repackaging or reselling services/features, is done at your own risk.

The AGPLv3 provides no obligation by any party to support, maintain, or warranty the original or any modified work.
All support is provided on a best-effort basis through Github and our [Slack](https//slack.min.io) channel, and any member of the community is welcome to contribute and assist others in their usage of the software.

MinIO [AIStor](https://www.min.io/product/aistor) includes enterprise-grade support and licensing for workloads which require commercial or proprietary usage and production-level SLA/SLO-backed support. For more information, [reach out for a quote](https://min.io/pricing).


Question: How to: Source-Only Distribution

Answer: **Important:** The MinIO community edition is now distributed as source code only. We will no longer provide pre-compiled binary releases for the community version.


Question: How to: Installing Latest MinIO Community Edition

Answer:
To use MinIO community edition, you have two options:

1. **Install from source** using `go install github.com/minio/minio@latest` (recommended)
2. **Build a Docker image** from the provided Dockerfile

See the sections below for detailed instructions on each method.


Question: How to: Legacy Binary Releases

Answer:
Historical pre-compiled binary releases remain available for reference but are no longer maintained:
- GitHub Releases: https://github.com/minio/minio/releases
- Direct downloads: https://dl.min.io/server/minio/release/

**These legacy binaries will not receive updates.** We strongly recommend using source builds for access to the latest features, bug fixes, and security updates.


Question: How to: Install from Source

Answer:
Use the following commands to compile and run a standalone MinIO server from source.
If you do not have a working Golang environment, please follow [How to install Golang](https://golang.org/doc/install). Minimum version required is [go1.24](https://golang.org/dl/#stable)

```sh
go install github.com/minio/minio@latest
```

You can alternatively run `go build` and use the `GOOS` and `GOARCH` environment variables to control the OS and architecture target.
For example:

```
env GOOS=linux GOARCh=arm64 go build
```

Start MinIO by running `minio server PATH` where `PATH` is any empty folder on your local filesystem.

The MinIO deployment starts using default root credentials `minioadmin:minioadmin`.
You can test the deployment using the MinIO Console, an embedded web-based object browser built into MinIO Server.
Point a web browser running on the host machine to
and log in with the root credentials.
You can use the Browser to create buckets, upload objects, and browse the contents of the MinIO server.

You can also connect using any S3-compatible tool, such as the MinIO Client `mc` commandline tool:

```sh
mc alias set local http://localhost:9000 minioadmin minioadmin
mc admin info local
```

See [Test using MinIO Client `mc`](#test-using-minio-client-mc) for more information on using the `mc` commandline tool.
For application developers, see
to view MinIO SDKs for supported languages.

> [!NOTE]
> Production environments using compiled-from-source MinIO binaries do so at their own risk.
> The AGPLv3 license provides no warranties nor liabilites for any such usage.


Question: How to: Build Docker Image

Answer:
You can use the `docker build .` command to build a Docker image on your local host machine.
You must first [build MinIO](#install-from-source) and ensure the `minio` binary exists in the project root.

The following command builds the Docker image using the default `Dockerfile` in the root project directory with the repository and image tag `myminio:minio`

```sh
docker build -t myminio:minio .
```

Use `docker image ls` to confirm the image exists in your local repository.
You can run the server using standard Docker invocation:

```sh
docker run -p 9000:9000 -p 9001:9001 myminio:minio server /tmp/minio --console-address :9001
```

Complete documentation for building Docker containers, managing custom images, or loading images into orchestration platforms is out of scope for this documentation.
You can modify the `Dockerfile` and `dockerscripts/docker-entrypoint.sh` as-needed to reflect your specific image requirements.

See the [MinIO Container](https://docs.min.io/community/minio-object-store/operations/deployments/baremetal-deploy-minio-as-a-container.html#deploy-minio-container) documentation for more guidance on running MinIO within a Container image.


Question: How to: Install using Helm Charts

Answer:
There are two paths for installing MinIO onto Kubernetes infrastructure:

- Use the [MinIO Operator](https://github.com/minio/operator)
- Use the community-maintained [Helm charts](https://github.com/minio/minio/tree/master/helm/minio)

See the [MinIO Documentation](https://docs.min.io/community/minio-object-store/operations/deployments/kubernetes.html) for guidance on deploying using the Operator.
The Community Helm chart has instructions in the folder-level README.


Question: How to: Test using MinIO Console

Answer:
MinIO Server comes with an embedded web based object browser.
Point your web browser to
to ensure your server has started successfully.

> [!NOTE]
> MinIO runs console on random port by default, if you wish to choose a specific port use `--console-address` to pick a specific interface and port.


Question: How to: Test using MinIO Client `mc`

Answer:
`mc` provides a modern alternative to UNIX commands like ls, cat, cp, mirror, diff etc. It supports filesystems and Amazon S3 compatible cloud storage services.

The following commands set a local alias, validate the server information, create a bucket, copy data to that bucket, and list the contents of the bucket.

```sh
mc alias set local http://localhost:9000 minioadmin minioadmin
mc admin info
mc mb data
mc cp ~/Downloads/mydata data/
mc ls data/
```

Follow the MinIO Client [Quickstart Guide](https://docs.min.io/community/minio-object-store/reference/minio-mc.html#quickstart) for further instructions.


Question: How to: Explore Further

Answer:
- [The MinIO documentation website](https://docs.min.io/community/minio-object-store/index.html)
- [MinIO Erasure Code Overview](https://docs.min.io/community/minio-object-store/operations/concepts/erasure-coding.html)
- [Use `mc` with MinIO Server](https://docs.min.io/community/minio-object-store/reference/minio-mc.html)
- [Use `minio-go` SDK with MinIO Server](https://docs.min.io/enterprise/aistor-object-store/developers/sdk/go/)


Question: How to: Contribute to MinIO Project

Answer: Please follow MinIO [Contributor's Guide](https://github.com/minio/minio/blob/master/CONTRIBUTING.md) for guidance on making new contributions to the repository.


Question: How to: 💎 Featured Sponsors

Answer:
[**Warp** — The AI-powered terminal built for speed and collaboration](https://go.warp.dev/memos)
---

[**LambdaTest** - Cross-browser testing cloud](https://www.lambdatest.com/?utm_source=memos&utm_medium=sponsor)


Question: How to: Docker (Recommended)

Answer:
```bash
docker run -d \
  --name memos \
  -p 5230:5230 \
  -v ~/.memos:/var/opt/memos \
  neosmemo/memos:stable
```

Open `http://localhost:5230` and start writing!


Question: How to: Try the Live Demo

Answer: Don't want to install yet? Try our [live demo](https://demo.usememos.com/) first!


Question: How to: Other Installation Methods

Answer:
- **Docker Compose** - Recommended for production deployments
- **Pre-built Binaries** - Available for Linux, macOS, and Windows
- **Kubernetes** - Helm charts and manifests available
- **Build from Source** - For development and customization

See our [installation guide](https://usememos.com/docs/installation) for detailed instructions.