773 of the 290,197 public repositories in the corpus declare a dependency on LlamaIndex. That is 3.9% of the Orchestration and RAG category, where it ranks 2 of 5.
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.
| LangChain | 18,896 |
| LlamaIndex | 773 |
| Haystack | 115 |
| Semantic Kernel | 106 |
| n8n | 7 |
| HKUDS/DeepTutor | 39,664 | ai_enabled |
| HKUDS/LightRAG | 39,664 | agent_adjacent |
| TransformerOptimus/SuperAGI | 17,660 | ai_enabled |
| raga-ai-hub/RagaAI-Catalyst | 16,151 | framework |
| vibrantlabsai/ragas | 15,464 | agent_adjacent |
| yusufkaraaslan/Skill_Seekers | 14,973 | agent_adjacent |
| StarTrail-org/LEANN | 12,924 | agent_adjacent |
| droidrun/mobilerun | 9,377 | ai_enabled |
| guardrails-ai/guardrails | 7,342 | agent_adjacent |
| run-llama/rags | 6,548 | ai_enabled |
Detected from declared dependencies in package.json, pyproject.toml and requirements.txt. A project using LlamaIndex without declaring it is not counted, so this is a floor. How this is measured ยท Browse all repos