Loom vs Matomo Analytics

Loom (Async Video Messaging for Work) 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 Loom (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 Loom. On education (docs, guides and learning material for developers), Matomo Analytics is ahead of Loom. On community (issue response, PR reviews and discussion health), Matomo Analytics is clearly ahead of Loom. On reach (how visible the ecosystem is beyond its own repos), Matomo Analytics is clearly ahead of Loom. On momentum (release cadence and how fast the ecosystem moves), Matomo Analytics is clearly ahead of Loom.

Loom carries 50 GitHub stars across 32 public repos, with 5 repositories active in the last 90 days and 1 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 612.0x larger, which usually shows up in downstream signals like inbound issues and third party integrations.

Loom is worth a look for teams already invested in its stack. 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.