ai-evaluation
by Community
Evaluation Framework for all your AI related Workflows
OSS
ai-evaluation
Added 1 June 2026
Overview
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
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
A community-built evaluation framework for AI workflows, written in Python. It provides tools to assess and validate outputs from AI models and pipelines.
105 stars on GitHub. Last updated 2026-05-29. Licensed Apache-2.0.
Use cases
- Testing and scoring LLM responses against expected criteria
- Monitoring performance of AI systems in production
- Validating outputs from custom AI workflows
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
Indexed from awesome-llmops and enriched against its public facts.
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
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