Guild AI vs LM Studio
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Guild AI and LM Studio (Discover, download, and run local LLMs) both appear on the Smoower Developer Ecosystem Index.
LM Studio (rank #165) holds a meaningful lead over Guild AI (rank #763) on the overall Smoower ecosystem score (51 vs 29). The gap of 22 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), LM Studio is ahead of Guild AI. On education (docs, guides and learning material for developers), LM Studio is ahead of Guild AI. On community (issue response, PR reviews and discussion health), LM Studio is ahead of Guild AI. On reach (how visible the ecosystem is beyond its own repos), LM Studio is clearly ahead of Guild AI. On momentum (release cadence and how fast the ecosystem moves), LM Studio is clearly ahead of Guild AI.
Guild AI carries 1,003 GitHub stars across 29 public repos, with 0 repositories active in the last 90 days and 1 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 LM Studio's footprint is roughly 10.5x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
Guild AI is worth a look for teams already invested in its stack. LM Studio looks better where reach 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 | Guild AI | LM Studio |
|---|---|---|
| Ranking | ||
| Overall rank | #763 | #165 |
| Pillars | ||
| Overall | 29 | 51 |
| Code | 34 | 53 |
| Education | 65 | 85 |
| Community | 31 | 44 |
| Reach | 9 | 57 |
| Momentum | 0 | 38 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 1,003 | 10,521 |
| Forks | 111 | 1,584 |
| Public repos | 29 | 11 |
| Active repos (90d) | 0 | 5 |
| External contributors | 1 | 42 |
| Avg polish | 39 | 56 |
| Avg AI-readiness | 15 | 30 |