Langfuse vs Mage

Langfuse (Open source AI engineering platform. Debug, analyze and iterate together.) and Mage (Magical tools for data.) both appear on the Smoower Developer Ecosystem Index.

Langfuse (rank #63) holds a meaningful lead over Mage (rank #485) on the overall Smoower ecosystem score (59 vs 38). 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), Langfuse is clearly ahead of Mage. On education (docs, guides and learning material for developers), Mage is clearly ahead of Langfuse. On community (issue response, PR reviews and discussion health), Langfuse is ahead of Mage. On reach (how visible the ecosystem is beyond its own repos), Langfuse is clearly ahead of Mage. On momentum (release cadence and how fast the ecosystem moves), Langfuse is clearly ahead of Mage.

Langfuse carries 32,648 GitHub stars across 25 public repos, with 22 repositories active in the last 90 days and 147 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 Langfuse's footprint is roughly 3.6x larger, which usually shows up in downstream signals like inbound issues and third party integrations.

Langfuse is the stronger read for anyone weighting momentum. Mage 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.