Berri AI vs Mage

Berri AI (The fastest way to take your LLM app to production) and Mage (Magical tools for data.) both appear on the Smoower Developer Ecosystem Index.

Berri AI (rank #103) holds a modest lead over Mage (rank #485) on the overall Smoower ecosystem score (55 vs 38). 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), Berri AI is ahead of Mage. On education (docs, guides and learning material for developers), Berri AI is slightly ahead of Mage. On community (issue response, PR reviews and discussion health), Berri AI is ahead of Mage. On reach (how visible the ecosystem is beyond its own repos), Berri AI is slightly ahead of Mage. On momentum (release cadence and how fast the ecosystem moves), Berri AI is clearly ahead of Mage.

Berri AI carries 53,652 GitHub stars across 55 public repos, with 19 repositories active in the last 90 days and 254 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 Berri AI's footprint is roughly 5.9x larger, which usually shows up in downstream signals like inbound issues and third party integrations.

Berri AI 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.