deepset vs Mage

deepset (Building enterprise search systems powered by latest NLP & open-source.) and Mage (Magical tools for data.) both appear on the Smoower Developer Ecosystem Index.

deepset (rank #122) holds a modest lead over Mage (rank #485) on the overall Smoower ecosystem score (54 vs 38). The gap of 16 points reflects composite signals across code, docs, community and reach.

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

deepset carries 30,141 GitHub stars across 74 public repos, with 17 repositories active in the last 90 days and 171 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 deepset's footprint is roughly 3.3x larger, which usually shows up in downstream signals like inbound issues and third party integrations.

deepset is the stronger read for anyone weighting code quality. 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.