How to: Industry Strength Visualisation
* [Apache ECharts](https://github.com/apache/echarts) ![](https://img.shields.io/github/stars/apache/echarts.svg?cacheSeconds=86400) - Apache ECharts is a powerful, interactive charting and data visualization library for browser.
* [Apache Superset](https://github.com/apache/superset) ![](https://img.shields.io/github/stars/apache/superset.svg?cacheSeconds=86400) - A modern, enterprise-ready business intelligence web application.
* [Bokeh](https://github.com/bokeh/bokeh) ![](https://img.shields.io/github/stars/bokeh/bokeh.svg?cacheSeconds=86400) - Bokeh is an interactive visualization library for Python that enables beautiful and meaningful visual presentation of data in modern web browsers.
* [Data Formulator](https://github.com/microsoft/data-formulator) ![](https://img.shields.io/github/stars/microsoft/data-formulator.svg?cacheSeconds=86400) - Transform data and create rich visualizations iteratively with AI.
* [ggplot2](https://github.com/tidyverse/ggplot2) ![](https://img.shields.io/github/stars/tidyverse/ggplot2.svg?cacheSeconds=86400) - An implementation of the grammar of graphics for R.
* [gradio](https://github.com/gradio-app/gradio) ![](https://img.shields.io/github/stars/gradio-app/gradio.svg?cacheSeconds=86400) - Quickly create and share demos of models - by only writing Python. Debug models interactively in your browser, get feedback from collaborators, and generate public links without deploying anything.
* [Kangas](https://github.com/comet-ml/kangas) ![](https://img.shields.io/github/stars/comet-ml/kangas.svg?cacheSeconds=86400) - Kangas is a tool for exploring, analyzing, and visualizing large-scale multimedia data. It provides a straightforward Python API for logging large tables of data, along with an intuitive visual interface for performing complex queries against your dataset.
* [matplotlib](https://github.com/matplotlib/matplotlib) ![](https://img.shields.io/github/stars/matplotlib/matplotlib.svg?cacheSeconds=86400) - A Python 2D plotting library which produces publication-quality figures in a variety of hardcopy formats and interactive environments across platforms.
* [Netron](https://github.com/lutzroeder/netron) ![](https://img.shields.io/github/stars/lutzroeder/netron.svg?cacheSeconds=86400) - Netron is a viewer for neural network, deep learning and machine learning models.
* [Perspective](https://github.com/finos/perspective) ![](https://img.shields.io/github/stars/finos/perspective.svg?cacheSeconds=86400) Streaming pivot visualization via WebAssembly.
* [Plotly](https://github.com/plotly/plotly.py) ![](https://img.shields.io/github/stars/plotly/plotly.py.svg?cacheSeconds=86400) - An interactive, open source, and browser-based graphing library for Python.
* [Redash](https://github.com/getredash/redash) ![](https://img.shields.io/github/stars/getredash/redash.svg?cacheSeconds=86400) - Redash is anopen source visualisation framework that is built to allow easy access to big datasets leveraging multiple backends.
* [Rerun](https://github.com/rerun-io/rerun) ![](https://img.shields.io/github/stars/rerun-io/rerun.svg?cacheSeconds=86400) - Rerun is an open-source SDK for logging, storing, querying, and visualizing multimodal data, designed for robotics, computer vision, and spatial AI.
* [seaborn](https://github.com/mwaskom/seaborn) ![](https://img.shields.io/github/stars/mwaskom/seaborn.svg?cacheSeconds=86400) - Seaborn is a Python visualization library based on matplotlib. It provides a high-level interface for drawing attractive statistical graphics.
* [Spotlight](https://github.com/Renumics/spotlight) ![](https://img.shields.io/github/stars/Renumics/spotlight.svg?cacheSeconds=86400) - Spotlight helps you to identify critical data segments and model failure modes. It enables you to build and maintain reliable machine learning models by curating high-quality datasets.
* [Streamlit](https://github.com/streamlit/streamlit) ![](https://img.shields.io/github/stars/streamlit/streamlit.svg?cacheSeconds=86400) - Streamlit lets you create apps for your machine learning projects with deceptively simple Python scripts. It supports hot-reloading, so your app updates live as you edit and save your file.
* [tensorboardX](https://github.com/lanpa/tensorboardX) ![](https://img.shields.io/github/stars/lanpa/tensorboardX.svg?cacheSeconds=86400) - Write TensorBoard events with simple function call.
* [TensorBoard](https://github.com/tensorflow/tensorboard) ![](https://img.shields.io/github/stars/tensorflow/tensorboard.svg?cacheSeconds=86400) - TensorBoard is a visualization toolkit for machine learning experimentation that makes it easy to host, track, and share ML experiments.
* [Transformer Explainer](https://github.com/poloclub/transformer-explainer) ![](https://img.shields.io/github/stars/poloclub/transformer-explainer.svg?cacheSeconds=86400) - Transformer Explainer is an interactive visualization tool designed to help anyone learn how Transformer-based models like GPT work.
* [Vega-Altair](https:/