EthicalML/awesome-production-machine-learning resource

Health v2 · maintenance only

Adoption not part of the score

20868 stars · 2592 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A curated awesome-list of open source libraries for deploying, monitoring, versioning, scaling, and securing machine learning in production. It covers the full MLOps toolchain, from data pipelines and feature stores to explainability, privacy, and model serving.

Use cases

• find open source tools for deploying machine learning models to production
• discover mlops libraries for monitoring and versioning models
• curated list of production machine learning tooling
• find libraries for model explainability and fairness
• explore privacy-preserving machine learning tools
• compare feature stores and data pipeline tools for ml
• learn about the mlops ecosystem and toolchain

When to choose

• you want a broad, community-curated map of the MLOps landscape before picking tools
• you need recommendations across the full production ML lifecycle, from data to serving to monitoring
• you want regularly updated coverage of new production ML libraries

When to avoid

• you need a working tool rather than a directory of links
• you want in-depth tutorials or implementation guidance rather than a catalog
• you need vendor-specific or commercial MLOps platform comparisons

Facets

learning-resource · maturity active

machine-learning monitoring deployment workflow-automation developer-tools machine-learning data-science awesome-lists artificial-intelligence cross-platform awesome-list mlops curated-list production-ml explainability privacy-preserving-ml model-serving model-monitoring

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markdown · JSON · MCP: product_card(name="EthicalML/awesome-production-machine-learning")