| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | Yes |
| API | — | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 2 |
| Spec score · LLM Evaluation Tools | 7.1 (#24) | 7.9 (#9) |
| Spec score · AI LLM Evaluation Tools | 7.2 (#27) | 8.0 (#16) |
| Installation | The maker documents installation with pip install ragchecker and requires downloading the spaCy en_core_web_sm model in its quick start. | The documented installation uses Conda with Python 3, followed by pip install trulens; source development uses the GitHub repository and editable installation. |
| Purpose | RAGChecker is an automatic evaluation framework for assessing and diagnosing retrieval-augmented generation systems. | TruLens evaluates and traces AI agents to help find failures and reduce costs while maintaining quality. |