ModelDB tracks machine learning model versions, metadata, and experiments.
Awesome Production Machine Learning
Curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning.

About Awesome Production Machine Learning
Awesome Production Machine Learning is a curated list of open source libraries for putting machine learning into production. The list covers deploying, monitoring, versioning and scaling machine learning systems. It is published as a GitHub repository, and its topic tags include MLOps, explainability, privacy-preserving machine learning and responsible AI.
The repository is a directory of libraries rather than a software tool. The homepage text does not describe the individual libraries, their features or how well they work, so this entry does not address those details. The repository is listed under the MIT license.
Key features
- Curated list of open source libraries for deploying machine learning
- Libraries for monitoring machine learning systems in production
- Libraries for versioning machine learning models and data
- Libraries for scaling machine learning, including large-scale ML topics
- Topic coverage includes explainability and interpretability
- Topic coverage includes privacy-preserving machine learning and responsible AI
- Open source and released under the MIT license
- Organized by topic, including MLOps, explainability and privacy-preserving machine learning
Awesome Production Machine Learning at a glance
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
Awesome Production Machine Learning alternatives
Tools and sites you could use instead, ranked by how closely they match.
TensorFlow offers an open-source machine learning platform with tools, libraries, and community resources.
Kubeflow provides a machine learning toolkit for deploying workflows on Kubernetes.
Curated list of awesome vector search framework/engine, library, cloud service and research papers to vector similarity search.
Kubeflow Pipelines orchestrates and manages machine learning workflows on Kubeflow.
Sagify describes its project as a way to work with large language models and machine learning more easily.
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