This repository is a curated list of open-source libraries for production machine learning, targeting ML engineers and researchers. It aims to provide a comprehensive overview of tools for deploying, monitoring, versioning, scaling, and securing ML systems, thereby streamlining the MLOps workflow.

How It Works

The repository categorizes a vast array of open-source tools across numerous MLOps domains, from Agentic Frameworks and AutoML to Explainability & Fairness and Training Orchestration. Each category lists relevant libraries with brief descriptions, facilitating quick discovery and comparison of solutions for specific production ML needs.

Quick Start & Requirements

This is a curated list, not a runnable project. Users can navigate the categories via the provided quick links. Further details and updates are available through watching the GitHub repository and a linked newsletter.

Highlighted Details

• Comprehensive coverage of MLOps lifecycle stages and specialized domains.
• Includes links to videos and external resources for deeper understanding.
• Actively maintained with community contributions encouraged.
• Features a search toolkit for efficient navigation.

Maintenance & Community

The list is maintained by EthicalML and actively supported by community contributions. Users can stay updated by watching the repository and subscribing to a linked newsletter.

Licensing & Compatibility

The licensing of individual tools varies, as this is a curated list. Users must consult the licenses of each listed library for compatibility and usage restrictions.

Limitations & Caveats

As a curated list, this repository does not provide a unified interface or integrated solution. Users are responsible for evaluating and integrating individual tools based on their specific project requirements.