EthicalML/awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
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.
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MIT
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Last pushed
Mar 05, 2026
Commits (30d)
8
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