Deepgram vs deepset

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

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

Deepgram carries 2,538 GitHub stars across 115 public repos, with 47 repositories active in the last 90 days and 30 external contributors on record. deepset shows 30,141 stars across 74 public repos, 17 active in the last 90 days and 171 external contributors. The star gap on its own does not decide the comparison, but deepset's footprint is roughly 11.9x larger, which usually shows up in downstream signals like inbound issues and third party integrations.

Deepgram is the stronger read for anyone weighting reach. deepset 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.