LlamaIndex vs Weaviate

LlamaIndex and Weaviate (Weaviate creates database software like the Weaviate vector search engine) both appear on the Smoower Developer Ecosystem Index.

LlamaIndex (rank #63) holds a narrow lead over Weaviate (rank #152) on the overall Smoower ecosystem score (59 vs 52). The gap of 7 points reflects composite signals across code, docs, community and reach.

On code quality (the state of repositories, tests, releases and polish), LlamaIndex is ahead of Weaviate. On education (docs, guides and learning material for developers), Weaviate is ahead of LlamaIndex. On community (issue response, PR reviews and discussion health), LlamaIndex is slightly ahead of Weaviate. On reach (how visible the ecosystem is beyond its own repos), LlamaIndex is ahead of Weaviate. On momentum (release cadence and how fast the ecosystem moves), Weaviate is slightly ahead of LlamaIndex.

LlamaIndex carries 99,809 GitHub stars across 135 public repos, with 48 repositories active in the last 90 days and 241 external contributors on record. Weaviate shows 30,251 stars across 140 public repos, 32 active in the last 90 days and 51 external contributors. The star gap on its own does not decide the comparison, but LlamaIndex's footprint is roughly 3.3x larger, which usually shows up in downstream signals like inbound issues and third party integrations.

LlamaIndex is the stronger read for anyone weighting code quality. Weaviate looks better where education is the deciding factor. The table below breaks the scores down pillar by pillar; the linked profiles cover the underlying repos, docs and community signals in full.