315 of the 388,317 public repositories in the corpus declare a dependency on DeepEval. That is 21.2% of the Evaluation and Testing category, where it ranks 2 of 8.
Repos are counted by creation quarter, so recent quarters keep growing as the corpus is re-observed. This is adoption among repos we have scanned, not the whole of GitHub.
| Ragas | 980 |
| DeepEval | 315 |
| Braintrust | 89 |
| Promptfoo | 89 |
| TruLens | 7 |
| Galileo | 3 |
| UpTrain | 1 |
| Athina | 1 |
| topoteretes/cognee | 32,603 | framework |
| FlowElement-xinliuyuansu/m_flow | 4,496 | ai_enabled |
| confident-ai/deepteam | 3,058 | framework |
| ShenSeanChen/waku-agent | 2,004 | agent |
| weaviate/elysia | 1,923 | agent_adjacent |
| ai-dynamo/aiperf | 827 | framework |
| DocAILab/XRAG | 815 | agent_adjacent |
| aws/bedrock-agentcore-sdk-python | 780 | agent |
| apocas/restai | 512 | framework |
| FareedKhan-dev/rag-ecosystem | 247 | ai_enabled |
Detected from declared dependencies in package.json, pyproject.toml and requirements.txt. A project using DeepEval without declaring it is not counted, so this is a floor. How this is measured ยท Browse all repos