How to: Model, Data and Experiment Management
* [Aim](https://github.com/aimhubio/aim) ![](https://img.shields.io/github/stars/aimhubio/aim.svg?cacheSeconds=86400) - A super-easy way to record, search and compare AI experiments.
* [ClearML](https://github.com/clearml/clearml) ![](https://img.shields.io/github/stars/clearml/clearml.svg?cacheSeconds=86400) - Auto-Magical Experiment Manager & Version Control for AI (previously Trains).
* [DataHub](https://github.com/datahub-project/datahub) ![](https://img.shields.io/github/stars/datahub-project/datahub.svg?cacheSeconds=86400) - DataHub is an open-source data catalog for the modern data stack.
* [Dolt](https://github.com/dolthub/dolt) ![](https://img.shields.io/github/stars/dolthub/dolt.svg?cacheSeconds=86400) - Dolt is a SQL database that you can fork, clone, branch, merge, push and pull just like a git repository.
* [DVC](https://github.com/iterative/dvc) ![](https://img.shields.io/github/stars/iterative/dvc.svg?cacheSeconds=86400) - DVC (Data Version Control) is a git fork that allows for version management of models.
* [HuggingFace Model Downloader](https://github.com/bodaay/HuggingFaceModelDownloader) ![](https://img.shields.io/github/stars/bodaay/HuggingFaceModelDownloader.svg?cacheSeconds=86400) - HuggingFace Model Downloader is a utility tool for downloading models and datasets from the HuggingFace website. It offers multithreaded downloading for LFS files and ensures the integrity of downloaded models with SHA256 checksum verification.
* [Keepsake](https://github.com/replicate/keepsake) ![](https://img.shields.io/github/stars/replicate/keepsake.svg?cacheSeconds=86400) - Version control for machine learning.
* [KitOps](https://github.com/jozu-ai/kitops) ![](https://img.shields.io/github/stars/jozu-ai/kitops.svg?cacheSeconds=86400) - KitOps is an open and standards-based packaging and versioning system for AI/ML projects that works with all the AI/ML, development, and DevOps tools you are already using.
* [lakeFS](https://github.com/treeverse/lakeFS) ![](https://img.shields.io/github/stars/treeverse/lakeFS.svg?cacheSeconds=86400) - Repeatable, atomic and versioned data lake on top of object storage.
* [MLflow](https://github.com/mlflow/mlflow) ![](https://img.shields.io/github/stars/mlflow/mlflow.svg?cacheSeconds=86400) - Open source platform to manage the ML lifecycle, including experimentation, reproducibility and deployment.
* [Neptune](https://github.com/neptune-ai/neptune-client) ![](https://img.shields.io/github/stars/neptune-ai/neptune-client.svg?cacheSeconds=86400) - Neptune is a scalable experiment tracker for teams that train foundation models.
* [Polyaxon](https://github.com/polyaxon/polyaxon) ![](https://img.shields.io/github/stars/polyaxon/polyaxon.svg?cacheSeconds=86400) - A platform for reproducible and scalable machine learning and deep learning on kubernetes - [(Video)](https://www.youtube.com/watch?v=Iexwrka_hys).
* [Quilt](https://github.com/quiltdata/quilt) ![](https://img.shields.io/github/stars/quiltdata/quilt.svg?cacheSeconds=86400) - Versioning, reproducibility and deployment of data and models.
* [Sacred](https://github.com/IDSIA/sacred) ![](https://img.shields.io/github/stars/IDSIA/sacred.svg?cacheSeconds=86400) - Tool to help you configure, organize, log and reproduce machine learning experiments.
* [TerminusDB](https://github.com/terminusdb/terminusdb) ![](https://img.shields.io/github/stars/terminusdb/terminusdb.svg?cacheSeconds=86400) - A graph database management system that stores data like git.
* [Weights & Biases](https://github.com/wandb/wandb) ![](https://img.shields.io/github/stars/wandb/wandb.svg?cacheSeconds=86400) - Weights & Biase is a machine learning experiment tracking, dataset versioning, hyperparameter search, visualization, and collaboration.