EthicalML/awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
Covers the full MLOps lifecycle across 20+ categories including feature engineering, model training orchestration, privacy-preserving techniques, and domain-specific solutions for NLP, computer vision, and recommender systems. Includes a searchable Hugging Face interface for navigating the toolchain and receives monthly updates via GitHub releases tracking newly added production-ready libraries.
20,248 stars. Actively maintained with 4 commits in the last 30 days.
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Last pushed
Mar 05, 2026
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