EthicalML/awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

64
/ 100
Established

This is a curated collection of open-source tools and libraries designed for machine learning engineers and MLOps practitioners. It helps you find solutions to deploy, monitor, version, scale, and secure your machine learning models in production environments. You can quickly navigate through various aspects of the ML lifecycle, from data pipelines to model serving, to build robust and efficient ML systems.

20,248 stars. Actively maintained with 8 commits in the last 30 days.

Use this if you are an ML engineer or MLOps practitioner looking for open-source tools to streamline your machine learning development and deployment workflows.

Not ideal if you are a data scientist or researcher primarily focused on model development and experimentation rather than productionalizing ML systems.

MLOps Machine Learning Engineering Model Deployment ML Infrastructure Production ML
No Package No Dependents
Maintenance 17 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 21 / 25

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Stars

20,248

Forks

2,529

Language

License

MIT

Last pushed

Mar 05, 2026

Commits (30d)

8

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