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Awesome Open MLOps

The Fuzzy Labs guide to the universe of open source MLOps

Our verdict

Not reviewed yet

We have not reviewed Awesome Open MLOps yet

No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.

How we review records

From the listing

About Awesome Open MLOps

A community-curated guide to open source MLOps tools, maintained by Fuzzy Labs. It organizes resources by category such as orchestration, monitoring, and feature stores, helping developers discover and compare options.

Best for

Developers and teams evaluating open source MLOps solutions

Use cases

  • Discovering open source MLOps tools for a new project
  • Comparing alternatives in categories like model serving or experiment tracking
  • Staying updated on the open source MLOps ecosystem

Notes

482 stars on GitHub. Last updated 2025-05-19. Licensed Apache-2.0.

Pros

  • Comprehensive collection of tools across the MLOps lifecycle
  • Community maintained with regular updates
  • Free and open source resource

Cons

  • Not a tool itself, only a list of links and descriptions
  • Depth of information per tool is limited to a short summary
  • Quality and accuracy depend on community contributions

Key facts

What we have checked

Latest prerelease version
0.1.0-alpha (released 13 Dec 2021)
Checked GitHub
GitHub stars
483
Checked github api via nightly crawl, recovered from git history 20e874270887c1008f860ee0198e461a23c9e438

Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.

Stars and usage

How Awesome Open MLOps is growing

GitHub stars

482 to 483

stars. 12 July 2026 to 26 Sept 2026, 2 readings.

Source: github api via nightly crawl, recovered from git history 20e874270887c1008f860ee0198e461a23c9e438. Checked .

Alternatives

Alternatives to Awesome Open MLOps

RecordTypeHow we knowChecked
Awesome Production Machine LearningThis is an alternative to itOpen sourceNamed in the listingNot dated

Compare

Compare Awesome Open MLOps side by side

Sources

Where this comes from

  • GitHubOfficial

    Checked · Latest prerelease version

  • github api via nightly crawl, recovered from git history 20e874270887c1008f860ee0198e461a23c9e438Registry

    Checked · GitHub stars

A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.

Changelog

What changed

  1. Released 0.1.0-alpha

    Source: GitHub

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