Matomo Analytics vs tray.ai

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 ») and tray.ai both appear on the Smoower Developer Ecosystem Index.

Matomo Analytics (rank #338) holds a modest lead over tray.ai (rank #693) on the overall Smoower ecosystem score (43 vs 31). The gap of 12 points reflects composite signals across code, docs, community and reach.

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

Matomo Analytics carries 30,600 GitHub stars across 90 public repos, with 46 repositories active in the last 90 days and 34 external contributors on record. tray.ai shows 300 stars across 49 public repos, 2 active in the last 90 days and 1 external contributors. The star gap on its own does not decide the comparison, but Matomo Analytics's footprint is roughly 102.0x larger, which usually shows up in downstream signals like inbound issues and third party integrations.

Matomo Analytics is the stronger read for anyone weighting momentum. tray.ai 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.