Hugging Face vs Zilliz

Hugging Face (The AI community building the future.) and Zilliz (Vector Database for Enterprise-grade AI and LLM applications) both appear on the Smoower Developer Ecosystem Index.

Hugging Face (rank #2) holds a meaningful lead over Zilliz (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 slightly ahead of Zilliz. On community (issue response, PR reviews and discussion health), Hugging Face is clearly ahead of Zilliz. On reach (how visible the ecosystem is beyond its own repos), Hugging Face is clearly ahead of Zilliz. On momentum (release cadence and how fast the ecosystem moves), Hugging Face is clearly ahead of Zilliz.

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. Zilliz shows 37,860 stars across 71 public repos, 29 active in the last 90 days and 105 external contributors. The star gap on its own does not decide the comparison, but Hugging Face's footprint is roughly 17.0x 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. Zilliz makes more sense for teams already using its adjacent tools. The table below breaks the scores down pillar by pillar; the linked profiles cover the underlying repos, docs and community signals in full.