Factorial vs Matomo Analytics

Factorial (HR Software for small and medium companies) 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.

Factorial (rank #237) holds a narrow lead over Matomo Analytics (rank #338) on the overall Smoower ecosystem score (48 vs 43). The gap of 5 points reflects composite signals across code, docs, community and reach.

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

Factorial carries 117 GitHub stars across 70 public repos, with 19 repositories active in the last 90 days and 53 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 261.5x larger, which usually shows up in downstream signals like inbound issues and third party integrations.

Factorial is the stronger read for anyone weighting code quality. Matomo Analytics looks better where community 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.