Building enterprise search systems powered by latest NLP & open-source.
deepset vs Vercel Labs
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
deepset (Building enterprise search systems powered by latest NLP & open-source.) and Vercel Labs (Develop. Preview. Ship. Creators of Next.js.) both appear on the Smoower Developer Ecosystem Index.
Vercel Labs (rank #13) holds a modest lead over deepset (rank #122) on the overall Smoower ecosystem score (67 vs 54). The gap of 13 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), Vercel Labs is slightly ahead of deepset. On community (issue response, PR reviews and discussion health), deepset is slightly ahead of Vercel Labs. On momentum (release cadence and how fast the ecosystem moves), Vercel Labs is clearly ahead of deepset.
deepset carries 30,141 GitHub stars across 74 public repos, with 17 repositories active in the last 90 days and 171 external contributors on record. Vercel Labs shows 177,527 stars across 319 public repos, 75 active in the last 90 days and 512 external contributors. The star gap on its own does not decide the comparison, but Vercel Labs's footprint is roughly 5.9x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
deepset is the stronger read for anyone weighting community. 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
| Metric | deepset | Vercel Labs |
|---|---|---|
| Ranking | ||
| Overall rank | #122 | #13 |
| Pillars | ||
| Overall | 54 | 67 |
| Code | 56 | 62 |
| Education | 74 | 74 |
| Community | 53 | 47 |
| Reach | 49 | 49 |
| Momentum | 31 | 80 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 30,141 | 177,527 |
| Forks | 4,301 | 14,205 |
| Public repos | 74 | 319 |
| Active repos (90d) | 17 | 75 |
| External contributors | 171 | 512 |
| Avg polish | 63 | 53 |
| Avg AI-readiness | 39 | 69 |