Hugging Face vs Weaviate

Hugging Face (The AI community building the future.) and Weaviate (Weaviate creates database software like the Weaviate vector search engine) both appear on the Smoower Developer Ecosystem Index.

Hugging Face (rank #2) holds a meaningful lead over Weaviate (rank #152) on the overall Smoower ecosystem score (75 vs 52). The gap of 23 points reflects composite signals across code, docs, community and reach.

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

Hugging Face carries 652,474 GitHub stars across 454 public repos, with 81 repositories active in the last 90 days and 865 external contributors on record. Weaviate shows 30,251 stars across 140 public repos, 32 active in the last 90 days and 51 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.

Hugging Face is the stronger read for anyone weighting community. Weaviate 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.