Deepgram vs Hugging Face

Deepgram and Hugging Face (The AI community building the future.) both appear on the Smoower Developer Ecosystem Index.

Hugging Face (rank #2) holds a modest lead over Deepgram (rank #93) on the overall Smoower ecosystem score (75 vs 58). The gap of 17 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 Deepgram. On education (docs, guides and learning material for developers), Hugging Face is ahead of Deepgram. On community (issue response, PR reviews and discussion health), Hugging Face is clearly ahead of Deepgram. On reach (how visible the ecosystem is beyond its own repos), Deepgram is ahead of Hugging Face. On momentum (release cadence and how fast the ecosystem moves), Hugging Face is clearly ahead of Deepgram.

Deepgram carries 2,563 GitHub stars across 115 public repos, with 38 repositories active in the last 90 days and 29 external contributors on record. Hugging Face shows 656,889 stars across 467 public repos, 84 active in the last 90 days and 888 external contributors. The star gap on its own does not decide the comparison, but Hugging Face's footprint is roughly 256.3x larger, which usually shows up in downstream signals like inbound issues and third party integrations.

Deepgram is the stronger read for anyone weighting reach. 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.