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EthicalML / awesome-production-machine-learning

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

Why this job: name: awesome; says: curated list; topics: awesome-list, awesome

What it does

  • FEAST. Feast (Feature Store) is an open source feature store for machine learning. Feast is the fastest path to manage existing infrastructure to productionize analytic data for model training and online inference.
  • Featureform. A virtual featurestore. Plug-&-play with your existing infra. Data Scientist approved. Discovery, Governance, Lineage, & Collaboration just a pip install away. Supports pandas, Python, spark, SQL + integrations with major clou
  • Hopsworks Feature Store. Offline/Online Feature Store for ML (Video).

Get started

No single install command. Read the steps in the README (opens in new tab)

Maintenance
Active
Last commit yesterday
Stars
21,083
+21 this week
Licence
MIT
Allows business use
Downloads for
None listed
No release files
Latest tag
release-2026-11-01
Released 8 days ago
Built with
Not stated

Is it looked after?

Contributors
16
Last 90 days
Issues
88% closed
13 still open
Pull requests
562 merged
32 waiting
Releases
42
11 in the last year

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More: topics and project record

Topics

  • machine-learning
  • mlops
  • interpretability
  • explainability
  • responsible-ai
  • deep-learning
  • machine-learning-operations
  • ml-ops
  • ml-operations
  • privacy-preserving
  • privacy-preserving-ml
  • privacy-preserving-machine-learning

Project record

  • JobLists and guides
  • StatusListed
  • Commits1,257
  • Forks2,618
  • Watching412
  • Stars in 28 days+105
  • CreatedAug 15, 2018
  • First seen by usNov 7, 2026
  • CheckedNov 9, 2026

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