Matomo Analytics vs Swiggy

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 Swiggy (Swiggy Public Repos) both appear on the Smoower Developer Ecosystem Index.

Matomo Analytics (rank #338) holds a modest lead over Swiggy (rank #662) on the overall Smoower ecosystem score (43 vs 32). The gap of 11 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 Swiggy. On education (docs, guides and learning material for developers), Matomo Analytics is ahead of Swiggy. On community (issue response, PR reviews and discussion health), Matomo Analytics is ahead of Swiggy. On reach (how visible the ecosystem is beyond its own repos), Matomo Analytics is slightly ahead of Swiggy. On momentum (release cadence and how fast the ecosystem moves), Matomo Analytics is clearly ahead of Swiggy.

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. Swiggy shows 314 stars across 22 public repos, 3 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 97.5x 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. Swiggy 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.