Awesome Production Machine Learning
A curated list of awesome open-source libraries for deploying, monitoring, versioning, and scaling production machine learning systems.
What is Awesome Production Machine Learning?
Awesome Production Machine Learning is a curated, community-maintained list of open-source software libraries and tools designed for the machine learning operations (MLOps) lifecycle. It helps engineers and data scientists discover resources to deploy, monitor, version, scale, and secure machine learning models in production environments. The project addresses the challenge of navigating the fragmented landscape of ML tools by providing a centralized, categorized directory.
Machine learning engineers, MLOps practitioners, data scientists, and AI researchers who are building, deploying, and maintaining machine learning systems in production. It is particularly valuable for teams evaluating or implementing open-source infrastructure for their ML pipelines.
Developers choose this list because it saves significant research time by aggregating and categorizing high-quality, production-ready open-source tools in one place. Its community-driven nature ensures the recommendations are vetted and updated, providing a trusted starting point for building enterprise ML infrastructure without vendor lock-in.
Overview
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
Use Cases
Best For
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