Loop Returns vs Matomo Analytics

Loop Returns (Loop public repository) and Matomo Analytics (Matomo is hiring 🚀 Matomo.org/jobs MISSION: « To create, as a community, the leading open analytics platform that gives every user full control of their data ») both appear on the Smoower Developer Ecosystem Index.

Matomo Analytics (rank #338) holds a modest lead over Loop Returns (rank #625) on the overall Smoower ecosystem score (43 vs 33). The gap of 10 points reflects composite signals across code, docs, community and reach.

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

Loop Returns carries 1 GitHub stars across 2 public repos, with 0 repositories active in the last 90 days and 0 external contributors on record. Matomo Analytics shows 30,600 stars across 90 public repos, 46 active in the last 90 days and 34 external contributors. The star gap on its own does not decide the comparison, but Matomo Analytics's footprint is roughly 30600.0x larger, which usually shows up in downstream signals like inbound issues and third party integrations.

Loop Returns is the stronger read for anyone weighting education. Matomo Analytics looks better where momentum 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.