Iterable vs Plausible Analytics

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

Iterable (rank #317) holds a narrow lead over Plausible Analytics (rank #338) on the overall Smoower ecosystem score (44 vs 43). The gap of 1 points reflects composite signals across code, docs, community and reach.

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

Iterable carries 269 GitHub stars across 100 public repos, with 16 repositories active in the last 90 days and 10 external contributors on record. Plausible Analytics shows 31,145 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 115.8x larger, which usually shows up in downstream signals like inbound issues and third party integrations.

Iterable is the stronger read for anyone weighting momentum. Plausible Analytics looks better where reach 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.