Developer ecosystem comparison
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Stream vs Picsart

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 Picsart both appear on the Smoower Developer Ecosystem Index.

Stream (rank #317) holds a narrow lead over Picsart (rank #510) on the overall Smoower ecosystem score (44 vs 37). The gap of 7 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 Picsart. On education (docs, guides and learning material for developers), Stream is slightly ahead of Picsart. On community (issue response, PR reviews and discussion health), Stream is clearly ahead of Picsart. On reach (how visible the ecosystem is beyond its own repos), Picsart is slightly ahead of Stream. On momentum (release cadence and how fast the ecosystem moves), Stream is clearly ahead of Picsart.

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. Picsart shows 160 stars across 33 public repos, 6 active in the last 90 days and 0 external contributors. The star gap on its own does not decide the comparison, but Stream's footprint is roughly 222.9x larger, which usually shows up in downstream signals like inbound issues and third party integrations.

Stream is the stronger read for anyone weighting momentum. Picsart 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

MetricStreamPicsart
Ranking
Overall rank#317#510
Pillars
Overall4437
Code6453
Education5447
Community4925
Reach2331
Momentum8240
Builder experience00
Signals
Stars35,664160
Forks5,18639
Public repos48733
Active repos (90d)846
External contributors440
Avg polish7455
Avg AI-readiness4732

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