izam-mohammed/ragrank

🎯 Your free LLM evaluation toolkit helps you assess the accuracy of facts, how well it understands context, its tone, and more. This helps you see how good your LLM applications are.

52
/ 100
Established

Specialized for RAG pipeline evaluation with metrics like response relevancy, context understanding, and factual accuracy. Built as a Python toolkit that integrates with OpenAI's API by default but supports custom LLM models, enabling flexible assessment workflows through a dataset-to-metrics evaluation pattern. Provides structured evaluation results exportable to dataframes for analysis and integration with downstream data processing pipelines.

No Package No Dependents
Maintenance 10 / 25
Adoption 8 / 25
Maturity 16 / 25
Community 18 / 25

How are scores calculated?

Stars

45

Forks

14

Language

Python

License

Apache-2.0

Last pushed

Feb 14, 2026

Commits (30d)

0

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