Hugging Face vs Mage

Hugging Face (The AI community building the future.) and Mage (Magical tools for data.) both appear on the Smoower Developer Ecosystem Index.

Hugging Face (rank #2) holds a meaningful lead over Mage (rank #485) on the overall Smoower ecosystem score (75 vs 38). The gap of 37 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 Mage. On education (docs, guides and learning material for developers), Hugging Face is ahead of Mage. On community (issue response, PR reviews and discussion health), Hugging Face is clearly ahead of Mage. On reach (how visible the ecosystem is beyond its own repos), Hugging Face is ahead of Mage. On momentum (release cadence and how fast the ecosystem moves), Hugging Face is clearly ahead of Mage.

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. Mage shows 9,079 stars across 44 public repos, 8 active in the last 90 days and 22 external contributors. The star gap on its own does not decide the comparison, but Hugging Face's footprint is roughly 70.7x 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. Mage 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.