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Open Source · Observability

kelvins/awesome-mlops

:sunglasses: A curated list of awesome MLOps tools

Our verdict

Not reviewed yet

We have not reviewed kelvins/awesome-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 kelvins/awesome-mlops

A curated GitHub repository listing MLOps tools organized by category. It helps developers discover and compare open-source and commercial tools for machine learning operations, including observability, orchestration, and deployment.

Best for

Developers and ML teams evaluating or building their MLOps toolchain and seeking a curated starting point

Use cases

  • Identifying observability and monitoring tools for ML pipelines
  • Comparing MLOps solutions across categories like feature stores, model serving, and data versioning
  • Exploring community-vetted tool recommendations with GitHub stars and descriptions

Notes

5,160 stars on GitHub. Last updated 2026-04-29.

Pros

  • Comprehensive overview of the MLOps landscape with 5,160+ stars indicating community trust
  • Categorized structure makes it easy to find tools for specific needs like observability or experiment tracking
  • Maintained by the community, providing up-to-date entries for widely used tools

Cons

  • Not a tool itself; it's a static list with no interactive features or built-in functionality
  • Entries may become outdated if maintainers don't update regularly
  • No quality guarantees or depth; each tool is just a link and brief description

Key facts

What we have checked

GitHub stars
5,281
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 kelvins/awesome-mlops is growing

GitHub stars

5,160 to 5,281

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 kelvins/awesome-mlops

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

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Sources

Where this comes from

  • 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

No changes recorded yet. Releases, price changes and deprecations appear here, with their dates, once we track them for this record.

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