Hugging Face vs vLLM

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

Hugging Face (rank #2) holds a modest lead over vLLM (rank #48) on the overall Smoower ecosystem score (75 vs 61). The gap of 14 points reflects composite signals across code, docs, community and reach.

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

Hugging Face carries 642,333 GitHub stars across 454 public repos, with 80 repositories active in the last 90 days and 862 external contributors on record. vLLM shows 115,730 stars across 43 public repos, 35 active in the last 90 days and 881 external contributors. The star gap on its own does not decide the comparison, but Hugging Face's footprint is roughly 5.6x larger, which usually shows up in downstream signals like inbound issues and third party integrations.

Hugging Face is the stronger read for anyone weighting momentum. vLLM looks better where code quality 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.