Stream vs Pirsch Analytics

Stream (Build scalable in-app chat, feeds, and live video with AI moderation capabilities in hours, not weeks.) and Pirsch Analytics (Pirsch is a simple, privacy-friendly, open-source alternative to Google Analytics - lightweight, cookie-free and easily integrated into any website. By @emvi.) both appear on the Smoower Developer Ecosystem Index.

Stream (rank #317) holds a modest lead over Pirsch Analytics (rank #625) on the overall Smoower ecosystem score (44 vs 33). The gap of 11 points reflects composite signals across code, docs, community and reach.

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

Stream carries 35,664 GitHub stars across 487 public repos, with 84 repositories active in the last 90 days and 44 external contributors on record. Pirsch Analytics shows 1,203 stars across 24 public repos, 5 active in the last 90 days and 1 external contributors. The star gap on its own does not decide the comparison, but Stream's footprint is roughly 29.6x larger, which usually shows up in downstream signals like inbound issues and third party integrations.

Stream is the stronger read for anyone weighting momentum. Pirsch Analytics looks better where education 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.