Cursor vs LM Studio
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Cursor and LM Studio (Discover, download, and run local LLMs) both appear on the Smoower Developer Ecosystem Index.
LM Studio (rank #165) holds a modest lead over Cursor (rank #430) on the overall Smoower ecosystem score (51 vs 40). The gap of 11 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), LM Studio is clearly ahead of Cursor. On education (docs, guides and learning material for developers), LM Studio is clearly ahead of Cursor. On community (issue response, PR reviews and discussion health), Cursor is ahead of LM Studio. On reach (how visible the ecosystem is beyond its own repos), LM Studio is ahead of Cursor. On momentum (release cadence and how fast the ecosystem moves), LM Studio is slightly 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. LM Studio shows 10,521 stars across 11 public repos, 5 active in the last 90 days and 42 external contributors. The star gap on its own does not decide the comparison, but Cursor's footprint is roughly 4.2x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
Cursor is the stronger read for anyone weighting community. LM Studio looks better where education 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 | LM Studio |
|---|---|---|
| Ranking | ||
| Overall rank | #430 | #165 |
| Pillars | ||
| Overall | 40 | 51 |
| Code | 26 | 53 |
| Education | 46 | 85 |
| Community | 54 | 44 |
| Reach | 43 | 57 |
| Momentum | 34 | 38 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 44,397 | 10,521 |
| Forks | 3,777 | 1,584 |
| Public repos | 8 | 11 |
| Active repos (90d) | 5 | 5 |
| External contributors | 41 | 42 |
| Avg polish | 31 | 56 |
| Avg AI-readiness | 23 | 30 |