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Awesome Production Machine Learning
"A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning." More than 550 libraries across 24 categories, with a summary of new additions released every month.
01 — EXPLORE THE CATEGORIES
Explore the categories
AutoML18Browse 18 entries in this section.Computation & Communication Optimisation58Browse 58 entries in this section.Data Annotation & Synthesis16Browse 16 entries in this section.Data Pipeline25Browse 25 entries in this section.Data Science Notebook10Browse 10 entries in this section.Data Storage Optimisation25Browse 25 entries in this section.Data Stream Processing11Browse 11 entries in this section.Deployment & Serving60Browse 60 entries in this section.Evaluation & Monitoring68Browse 68 entries in this section.Explainability & Fairness14Browse 14 entries in this section.Feature Store3Browse 3 entries in this section.Industry-strength Anomaly Detection5Browse 5 entries in this section.Industry-strength Computer Vision13Browse 13 entries in this section.Industry-strength Information Retrieval24Browse 24 entries in this section.Industry-strength Natural Language Processing45Browse 45 entries in this section.Industry-strength Recommender System5Browse 5 entries in this section.Industry-strength Reinforcement Learning39Browse 39 entries in this section.Industry-strength Robotics7Browse 7 entries in this section.Industry-strength Visualisation25Browse 25 entries in this section.Metadata Management6Browse 6 entries in this section.Model, Data & Experiment Management16Browse 16 entries in this section.Model Storage Optimisation10Browse 10 entries in this section.Model Training & Orchestration27Browse 27 entries in this section.Privacy & Safety15Browse 15 entries in this section.
CategoryCount
AutoML18
Computation & Communication Optimisation58
Data Annotation & Synthesis16
Data Pipeline25
Data Science Notebook10
Data Storage Optimisation25
Data Stream Processing11
Deployment & Serving60
Evaluation & Monitoring68
Explainability & Fairness14
Feature Store3
Industry-strength Anomaly Detection5
Industry-strength Computer Vision13
Industry-strength Information Retrieval24
Industry-strength Natural Language Processing45
Industry-strength Recommender System5
Industry-strength Reinforcement Learning39
Industry-strength Robotics7
Industry-strength Visualisation25
Metadata Management6
Model, Data & Experiment Management16
Model Storage Optimisation10
Model Training & Orchestration27
Privacy & Safety15
02 — HOW IT STAYS CURRENT
How it stays current
New libraries are added continuously and summarised in monthly releases, so watching the repository doubles as an ecosystem changelog. The weekly companion is the Machine Learning Engineer newsletter, where “over 70,000 ML professionals and enthusiasts” receive curated production ML articles and tutorials.