PyRIT vs TruLens
PyRIT
microsoft.github.ioTruLens
trulens.orgSide by side
| Figure | PyRIT | TruLens |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | Yes |
| Web | Yes | — |
| Linux | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 2 |
| Spec score · LLM Evaluation Tools | 7.5 (#18) | 7.9 (#9) |
| Installation | The project documents user installation through Docker or locally with pip or uv, plus contributor Docker and local installation options. | The documented installation uses Conda with Python 3, followed by pip install trulens; source development uses the GitHub repository and editable installation. |
| Purpose | PyRIT is an open-source framework for security professionals and engineers to identify risks in generative AI systems. | TruLens evaluates and traces AI agents to help find failures and reduce costs while maintaining quality. |
| Support | The project uses GitHub Issues for bugs, feature requests, and questions, and says support is limited to the resources it lists. | The getting-started documentation points users to a community Slack. |
Plans
In their own words
PyRIT
PyRIT is a free, MIT-licensed framework for security professionals and engineers assessing risks in generative AI systems. It supports single-turn and multi-turn red-team strategies such as Crescendo, TAP, and Skeleton Key. Scenario evaluations can be repeated across hundreds of objectives, including content harms, psychosocial risks, and data leakage. CoPyRIT provides a web interface for interacting with AI systems, recording findings, and collaborating with a team. Documented targets include OpenAI, Azure, Anthropic, Google, HuggingFace, custom HTTP endpoints and WebSockets, and web apps tested with Playwright. PyRIT stores conversations, scores, and attack results in SQLite or Azure SQL and can export results. Scoring supports true/false, Likert, classification, and custom scorers, including LLM-based and Azure AI Content Safety methods. Scanner, GUI, Framework, pyrit_scan, and pyrit_shell modes are documented. Installation is available through Docker, pip, or uv, with Python 3.13 recommended locally.