DecodingTrust vs TruLens
DecodingTrust
decodingtrust.github.ioTruLens
trulens.orgSide by side
| Figure | DecodingTrust | TruLens |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 0 | 2 |
| Spec score · LLM Evaluation Tools | 7.5 (#16) | 7.9 (#9) |
| Installation | The repository recommends cloning the project and installing it in editable mode with pip; it also describes standalone package installation. | The documented installation uses Conda with Python 3, followed by pip install trulens; source development uses the GitHub repository and editable installation. |
| Purpose | DecodingTrust is a research project for assessing trustworthiness in GPT models and helping researchers and practitioners understand their capabilities, limitations, and deployment risks. | TruLens evaluates and traces AI agents to help find failures and reduce costs while maintaining quality. |
| Support | The project invites questions at [email protected]. | The getting-started documentation points users to a community Slack. |
Plans
In their own words
DecodingTrust
DecodingTrust has no write-up on Specifiction yet; its figures are above.