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PyRIT vs RAGChecker

Both stand on llm evaluation tools. Which one you can start free with, which one lets you read the code, and what each costs once you pay.

PyRIT

Free plan APILinuxSelf-hosted+1

PyRIT combines attack strategies, repeatable scenarios, and configurable scoring for generative AI assessments. Its free MIT-licensed framework offers command-line and web-based workflows, with documented installation choices including Docker, pip, and uv.

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RAGChecker

Free plan Self-hosted

Choose RAGChecker if you want an open-source, self-hosted way to measure RAG pipeline, retrieval, and generation performance. Look elsewhere if you need a hosted deployment or cannot provide ground-truth answers for queries.

Visit RAGChecker

The facts

PyRITRAGChecker
Free planYesYes
Open sourceNot publishedNot published
Runs onAPI, Linux, Self-hosted, WebSelf-hosted
Lowest paid planFree or on requestFree or on request
Plans published11
MakerNot publishedNot published
Websitemicrosoft.github.iogithub.com
On llm evaluation tools#19 of 29#23 of 29

PyRIT: what it does well

  • Supports single-turn and multi-turn red-team strategies
  • Repeatable evaluations cover hundreds of objectives
  • Targets include providers, endpoints, and web apps
  • Stores results in SQLite or Azure SQL
  • Offers several built-in and custom scoring approaches

What to know first

  • Local installation documentation recommends Python 3.13
  • Security vulnerabilities should not be reported through public GitHub issues
  • Support is limited to the resources the project lists

RAGChecker: what it does well

  • Reports overall pipeline metrics and separate retrieval and generation diagnostics.
  • Uses claim-level entailment for fine-grained evaluation.
  • Offers both a CLI and Python API.
  • Supports configurable extractor and checker models.
  • Free to use under the Apache-2.0 license.

What to know first

  • Requires self-hosted deployment.
  • The quick start requires the spaCy en_core_web_sm model.
  • Each query requires a ground-truth answer annotation.

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