Developer ecosystem comparison
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Mage vs Vercel Labs

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

Mage (Magical tools for data.) and Vercel Labs (Develop. Preview. Ship. Creators of Next.js.) both appear on the Smoower Developer Ecosystem Index.

Vercel Labs (rank #8) holds a meaningful lead over Mage (rank #455) on the overall Smoower ecosystem score (71 vs 40). The gap of 31 points reflects composite signals across code, docs, community and reach.

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

Mage carries 9,110 GitHub stars across 44 public repos, with 7 repositories active in the last 90 days and 16 external contributors on record. Vercel Labs shows 190,056 stars across 351 public repos, 80 active in the last 90 days and 474 external contributors. The star gap on its own does not decide the comparison, but Vercel Labs's footprint is roughly 20.9x larger, which usually shows up in downstream signals like inbound issues and third party integrations.

Mage is worth a look for teams already invested in its stack. Vercel Labs looks better where momentum 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

MetricMageVercel Labs
Ranking
Overall rank#455#8
Pillars
Overall4071
Code3463
Education6773
Community3646
Reach7184
Momentum1382
Builder experience00
Signals
Stars9,110190,056
Forks1,54314,605
Public repos44351
Active repos (90d)780
External contributors16474
Avg polish4253
Avg AI-readiness1571

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