LlamaIndex vs Vercel Labs
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
LlamaIndex and Vercel Labs (Develop. Preview. Ship. Creators of Next.js.) both appear on the Smoower Developer Ecosystem Index.
Vercel Labs (rank #14) holds a narrow lead over LlamaIndex (rank #63) on the overall Smoower ecosystem score (67 vs 59). The gap of 8 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), LlamaIndex is slightly ahead of Vercel Labs. On education (docs, guides and learning material for developers), Vercel Labs is slightly ahead of LlamaIndex. On community (issue response, PR reviews and discussion health), LlamaIndex is slightly ahead of Vercel Labs. On reach (how visible the ecosystem is beyond its own repos), LlamaIndex is slightly ahead of Vercel Labs. On momentum (release cadence and how fast the ecosystem moves), Vercel Labs is ahead of LlamaIndex.
LlamaIndex carries 99,809 GitHub stars across 135 public repos, with 48 repositories active in the last 90 days and 241 external contributors on record. Vercel Labs shows 177,353 stars across 318 public repos, 72 active in the last 90 days and 520 external contributors.
LlamaIndex 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 | LlamaIndex | Vercel Labs |
|---|---|---|
| Ranking | ||
| Overall rank | #63 | #14 |
| Pillars | ||
| Overall | 59 | 67 |
| Code | 63 | 62 |
| Education | 69 | 74 |
| Community | 54 | 47 |
| Reach | 50 | 49 |
| Momentum | 62 | 80 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 99,809 | 177,353 |
| Forks | 14,240 | 14,215 |
| Public repos | 135 | 318 |
| Active repos (90d) | 48 | 72 |
| External contributors | 241 | 520 |
| Avg polish | 64 | 53 |
| Avg AI-readiness | 49 | 69 |