EthicalML/awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
What this repository does
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
Repository facts
- Owner
- EthicalML
- Primary language
- Not reported
- Stars
- 20,911
- Forks
- 2,601
- Open issues + pull requests
- 32
- License
- MIT
- Archived
- No
- Default branch
- master
- Created
- 2018-08-15T14:28:41.000Z
- Last push
- 2026-09-06T16:54:10.000Z
Topics and intended use
Owner-supplied topics: awesome, awesome-list, data-mining, deep-learning, explainability, interpretability, large-scale-machine-learning, large-scale-ml, machine-learning, machine-learning-operations, ml-operations, ml-ops, mlops, privacy-preserving, privacy-preserving-machine-learning, privacy-preserving-ml, production-machine-learning, production-ml, responsible-ai
Review the README for scope, installation, examples and limitations. We do not run repository code or certify it.
Evaluate before installing
Review licensing and dependencies, inspect recent commits and unresolved issues, and test in an isolated environment before production use. Stars and forks alone cannot answer these questions.
Source and freshness
Source: GitHub. Metadata observed 2026-09-15T06:38:54.881Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.