Advanced Speech-to-Text
AssemblyAI vs Cursor
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
AssemblyAI (Advanced Speech-to-Text) and Cursor both appear on the Smoower Developer Ecosystem Index.
AssemblyAI (rank #401) holds a narrow lead over Cursor (rank #430) on the overall Smoower ecosystem score (41 vs 40). The gap of 1 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), AssemblyAI is ahead of Cursor. On education (docs, guides and learning material for developers), AssemblyAI is clearly ahead of Cursor. On community (issue response, PR reviews and discussion health), Cursor is ahead of AssemblyAI. On reach (how visible the ecosystem is beyond its own repos), Cursor is slightly ahead of AssemblyAI. On momentum (release cadence and how fast the ecosystem moves), Cursor is 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. Cursor shows 44,397 stars across 8 public repos, 5 active in the last 90 days and 41 external contributors. The star gap on its own does not decide the comparison, but Cursor's footprint is roughly 43.3x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
AssemblyAI is the stronger read for anyone weighting education. Cursor 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 | Cursor |
|---|---|---|
| Ranking | ||
| Overall rank | #401 | #430 |
| Pillars | ||
| Overall | 41 | 40 |
| Code | 43 | 26 |
| Education | 76 | 46 |
| Community | 40 | 54 |
| Reach | 37 | 43 |
| Momentum | 16 | 34 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 1,025 | 44,397 |
| Forks | 268 | 3,777 |
| Public repos | 67 | 8 |
| Active repos (90d) | 8 | 5 |
| External contributors | 11 | 41 |
| Avg polish | 46 | 31 |
| Avg AI-readiness | 32 | 23 |