deepset vs OpenAI

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

OpenAI (rank #22) holds a modest lead over deepset (rank #209) on the overall Smoower ecosystem score (66 vs 50). The gap of 16 points reflects composite signals across code, docs, community and reach.

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

deepset carries 30,503 GitHub stars across 75 public repos, with 20 repositories active in the last 90 days and 163 external contributors on record. OpenAI shows 846,432 stars across 268 public repos, 49 active in the last 90 days and 426 external contributors. The star gap on its own does not decide the comparison, but OpenAI's footprint is roughly 27.7x larger, which usually shows up in downstream signals like inbound issues and third party integrations.

deepset is the stronger read for anyone weighting education. OpenAI 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.