Developer ecosystem comparison
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Berri AI vs sgl-project

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

Berri AI (The fastest way to take your LLM app to production) and sgl-project both appear on the Smoower Developer Ecosystem Index.

Berri AI (rank #103) holds a modest lead over sgl-project (rank #278) on the overall Smoower ecosystem score (55 vs 46). The gap of 9 points reflects composite signals across code, docs, community and reach.

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

Berri AI carries 53,652 GitHub stars across 55 public repos, with 19 repositories active in the last 90 days and 254 external contributors on record. sgl-project shows 38,333 stars across 26 public repos, 20 active in the last 90 days and 349 external contributors.

Berri AI is the stronger read for anyone weighting reach. sgl-project 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

MetricBerri AIsgl-project
Ranking
Overall rank#103#278
Pillars
Overall5546
Code4455
Education7974
Community5180
Reach438
Momentum6040
Builder experience00
Signals
Stars53,65238,333
Forks9,8998,904
Public repos5526
Active repos (90d)1920
External contributors254349
Avg polish4555
Avg AI-readiness3847

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