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ai-evaluation

Evaluation Framework for all your AI related Workflows

Our verdict

Not reviewed yet

We have not reviewed ai-evaluation 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 ai-evaluation

A community-built evaluation framework for AI workflows, written in Python. It provides tools to assess and validate outputs from AI models and pipelines.

Best for

Developers seeking a simple, open-source evaluation framework for AI workflows

Use cases

  • Testing and scoring LLM responses against expected criteria
  • Monitoring performance of AI systems in production
  • Validating outputs from custom AI workflows

Notes

105 stars on GitHub. Last updated 2026-05-29. Licensed Apache-2.0.

Pros

  • Open source and free to use
  • Lightweight Python implementation
  • Focused specifically on AI evaluation

Cons

  • Small community with only 105 stars
  • Limited documentation and examples
  • May lack advanced features found in larger frameworks

Key facts

What we have checked

GitHub stars
121
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 ai-evaluation is growing

GitHub stars

105 to 121

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

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

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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