Canvas-LMS vs Plausible Analytics

Canvas-LMS and Plausible Analytics (Simple, open source, lightweight (< 1 KB) and privacy-friendly alternative to Google Analytics.) both appear on the Smoower Developer Ecosystem Index.

Plausible Analytics (rank #339) holds a modest lead over Canvas-LMS (rank #726) on the overall Smoower ecosystem score (43 vs 30). The gap of 13 points reflects composite signals across code, docs, community and reach.

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

Canvas-LMS carries 1 GitHub stars across 1 public repos, with 0 repositories active in the last 90 days and 0 external contributors on record. Plausible Analytics shows 31,314 stars across 21 public repos, 7 active in the last 90 days and 23 external contributors. The star gap on its own does not decide the comparison, but Plausible Analytics's footprint is roughly 31314.0x larger, which usually shows up in downstream signals like inbound issues and third party integrations.

Canvas-LMS is worth a look for teams already invested in its stack. Plausible 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.