Building enterprise search systems powered by latest NLP & open-source.
Cursor vs deepset
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Cursor and deepset (Building enterprise search systems powered by latest NLP & open-source.) both appear on the Smoower Developer Ecosystem Index.
deepset (rank #122) holds a modest lead over Cursor (rank #430) on the overall Smoower ecosystem score (54 vs 40). The gap of 14 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), deepset is clearly ahead of Cursor. On education (docs, guides and learning material for developers), deepset is clearly ahead of Cursor. On community (issue response, PR reviews and discussion health), Cursor is slightly ahead of deepset. On reach (how visible the ecosystem is beyond its own repos), deepset is slightly ahead of Cursor. On momentum (release cadence and how fast the ecosystem moves), Cursor is slightly ahead of deepset.
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. deepset shows 30,141 stars across 74 public repos, 17 active in the last 90 days and 171 external contributors.
Cursor is the stronger read for anyone weighting momentum. deepset 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 | deepset |
|---|---|---|
| Ranking | ||
| Overall rank | #430 | #122 |
| Pillars | ||
| Overall | 40 | 54 |
| Code | 26 | 56 |
| Education | 46 | 74 |
| Community | 54 | 53 |
| Reach | 43 | 49 |
| Momentum | 34 | 31 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 44,397 | 30,141 |
| Forks | 3,777 | 4,301 |
| Public repos | 8 | 74 |
| Active repos (90d) | 5 | 17 |
| External contributors | 41 | 171 |
| Avg polish | 31 | 63 |
| Avg AI-readiness | 23 | 39 |