deepset vs Hugging Face

deepset (Building enterprise search systems powered by latest NLP & open-source.) and Hugging Face (The AI community building the future.) both appear on the Smoower Developer Ecosystem Index.

Hugging Face (rank #2) holds a meaningful lead over deepset (rank #122) on the overall Smoower ecosystem score (75 vs 54). The gap of 21 points reflects composite signals across code, docs, community and reach.

On code quality (the state of repositories, tests, releases and polish), Hugging Face is ahead of deepset. On education (docs, guides and learning material for developers), Hugging Face is ahead of deepset. On community (issue response, PR reviews and discussion health), Hugging Face is clearly ahead of deepset. On reach (how visible the ecosystem is beyond its own repos), Hugging Face is slightly ahead of deepset. On momentum (release cadence and how fast the ecosystem moves), Hugging Face 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. Hugging Face shows 652,474 stars across 454 public repos, 81 active in the last 90 days and 865 external contributors. The star gap on its own does not decide the comparison, but Hugging Face's footprint is roughly 21.6x larger, which usually shows up in downstream signals like inbound issues and third party integrations.

deepset is worth a look for teams already invested in its stack. Hugging Face 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.