Developer ecosystem comparison
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Stream vs Zammad

Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.

Stream (Build scalable in-app chat, feeds, and live video with AI moderation capabilities in hours, not weeks.) and Zammad both appear on the Smoower Developer Ecosystem Index.

Zammad (rank #152) holds a narrow lead over Stream (rank #317) on the overall Smoower ecosystem score (52 vs 44). The gap of 8 points reflects composite signals across code, docs, community and reach.

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

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. Zammad shows 6,394 stars across 11 public repos, 9 active in the last 90 days and 27 external contributors. The star gap on its own does not decide the comparison, but Stream's footprint is roughly 5.6x larger, which usually shows up in downstream signals like inbound issues and third party integrations.

Stream is the stronger read for anyone weighting momentum. Zammad 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.

Side-by-side metrics

MetricStreamZammad
Ranking
Overall rank#317#152
Pillars
Overall4452
Code6463
Education5471
Community4970
Reach230
Momentum8239
Builder experience00
Signals
Stars35,6646,394
Forks5,1861,687
Public repos48711
Active repos (90d)849
External contributors4427
Avg polish7471
Avg AI-readiness4735

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