Cursor vs Deepgram
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Cursor and Deepgram both appear on the Smoower Developer Ecosystem Index.
Deepgram (rank #63) holds a modest lead over Cursor (rank #430) on the overall Smoower ecosystem score (59 vs 40). The gap of 19 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), Deepgram is clearly ahead of Cursor. On education (docs, guides and learning material for developers), Deepgram is ahead of Cursor. On community (issue response, PR reviews and discussion health), Cursor is slightly ahead of Deepgram. On reach (how visible the ecosystem is beyond its own repos), Deepgram is clearly ahead of Cursor. On momentum (release cadence and how fast the ecosystem moves), Deepgram is ahead of Cursor.
Cursor carries 44,397 GitHub stars across 8 public repos, with 5 repositories active in the last 90 days and 41 external contributors on record. Deepgram shows 2,538 stars across 115 public repos, 47 active in the last 90 days and 30 external contributors. The star gap on its own does not decide the comparison, but Cursor's footprint is roughly 17.5x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
Cursor is the stronger read for anyone weighting community. Deepgram looks better where code quality 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 | Cursor | Deepgram |
|---|---|---|
| Ranking | ||
| Overall rank | #430 | #63 |
| Pillars | ||
| Overall | 40 | 59 |
| Code | 26 | 64 |
| Education | 46 | 59 |
| Community | 54 | 48 |
| Reach | 43 | 80 |
| Momentum | 34 | 46 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 44,397 | 2,538 |
| Forks | 3,777 | 697 |
| Public repos | 8 | 115 |
| Active repos (90d) | 5 | 47 |
| External contributors | 41 | 30 |
| Avg polish | 31 | 68 |
| Avg AI-readiness | 23 | 48 |