Grammarly vs Matomo Analytics

Grammarly (Millions of users rely on Grammarly's AI-powered products to make their messages, documents, and social media posts clear, mistake-free, and impactful.) 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 Grammarly (rank #602) on the overall Smoower ecosystem score (43 vs 34). The gap of 9 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 Grammarly. On education (docs, guides and learning material for developers), Matomo Analytics is ahead of Grammarly. On community (issue response, PR reviews and discussion health), Matomo Analytics is clearly ahead of Grammarly. On reach (how visible the ecosystem is beyond its own repos), Grammarly is ahead of Matomo Analytics. On momentum (release cadence and how fast the ecosystem moves), Matomo Analytics is clearly ahead of Grammarly.

Grammarly carries 4,355 GitHub stars across 23 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 7.0x larger, which usually shows up in downstream signals like inbound issues and third party integrations.

Grammarly is the stronger read for anyone weighting reach. 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.