Developer ecosystem comparison
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Stream vs Marqeta

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 Marqeta both appear on the Smoower Developer Ecosystem Index.

Stream (rank #317) holds a modest lead over Marqeta (rank #662) on the overall Smoower ecosystem score (44 vs 32). 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), Stream is clearly ahead of Marqeta. On education (docs, guides and learning material for developers), Marqeta is slightly ahead of Stream. On community (issue response, PR reviews and discussion health), Stream is clearly ahead of Marqeta. On reach (how visible the ecosystem is beyond its own repos), Marqeta is ahead of Stream. On momentum (release cadence and how fast the ecosystem moves), Stream is clearly ahead of Marqeta.

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. Marqeta shows 84 stars across 18 public repos, 3 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 424.6x larger, which usually shows up in downstream signals like inbound issues and third party integrations.

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

Side-by-side metrics

MetricStreamMarqeta
Ranking
Overall rank#317#662
Pillars
Overall4432
Code6439
Education5459
Community4912
Reach2340
Momentum8215
Builder experience00
Signals
Stars35,66484
Forks5,18642
Public repos48718
Active repos (90d)843
External contributors441
Avg polish7443
Avg AI-readiness4722

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