deepset vs LlamaIndex

deepset (Building enterprise search systems powered by latest NLP & open-source.) and LlamaIndex both appear on the Smoower Developer Ecosystem Index.

LlamaIndex (rank #63) holds a narrow lead over deepset (rank #122) on the overall Smoower ecosystem score (59 vs 54). The gap of 5 points reflects composite signals across code, docs, community and reach.

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

deepset carries 30,141 GitHub stars across 74 public repos, with 17 repositories active in the last 90 days and 171 external contributors on record. LlamaIndex shows 99,809 stars across 135 public repos, 48 active in the last 90 days and 241 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.

deepset is the stronger read for anyone weighting education. LlamaIndex looks better where momentum 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.