Advanced Speech-to-Text
AssemblyAI vs Vercel Labs
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
AssemblyAI (Advanced Speech-to-Text) and Vercel Labs (Develop. Preview. Ship. Creators of Next.js.) both appear on the Smoower Developer Ecosystem Index.
Vercel Labs (rank #46) holds a modest lead over AssemblyAI (rank #401) on the overall Smoower ecosystem score (61 vs 41). The gap of 20 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), Vercel Labs is ahead of AssemblyAI. On education (docs, guides and learning material for developers), AssemblyAI is slightly ahead of Vercel Labs. On community (issue response, PR reviews and discussion health), Vercel Labs is slightly ahead of AssemblyAI. On reach (how visible the ecosystem is beyond its own repos), Vercel Labs is ahead of AssemblyAI. On momentum (release cadence and how fast the ecosystem moves), Vercel Labs is clearly ahead of AssemblyAI.
AssemblyAI carries 1,025 GitHub stars across 67 public repos, with 8 repositories active in the last 90 days and 11 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 173.2x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
AssemblyAI is the stronger read for anyone weighting education. 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 | AssemblyAI | Vercel Labs |
|---|---|---|
| Ranking | ||
| Overall rank | #401 | #46 |
| Pillars | ||
| Overall | 41 | 61 |
| Code | 43 | 62 |
| Education | 76 | 74 |
| Community | 40 | 47 |
| Reach | 37 | 49 |
| Momentum | 16 | 80 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 1,025 | 177,527 |
| Forks | 268 | 14,205 |
| Public repos | 67 | 319 |
| Active repos (90d) | 8 | 75 |
| External contributors | 11 | 512 |
| Avg polish | 46 | 53 |
| Avg AI-readiness | 32 | 69 |