Discover, download, and run local LLMs
LM Studio vs Replicate
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
LM Studio (Discover, download, and run local LLMs) and Replicate (Run AI with an API) both appear on the Smoower Developer Ecosystem Index.
LM Studio (rank #165) holds a narrow lead over Replicate (rank #190) on the overall Smoower ecosystem score (51 vs 50). 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), Replicate is slightly ahead of LM Studio. On education (docs, guides and learning material for developers), LM Studio is ahead of Replicate. On community (issue response, PR reviews and discussion health), Replicate is slightly ahead of LM Studio. On reach (how visible the ecosystem is beyond its own repos), Replicate is ahead of LM Studio. On momentum (release cadence and how fast the ecosystem moves), LM Studio is slightly ahead of Replicate.
LM Studio carries 10,521 GitHub stars across 11 public repos, with 5 repositories active in the last 90 days and 42 external contributors on record. Replicate shows 25,062 stars across 169 public repos, 10 active in the last 90 days and 12 external contributors.
LM Studio is the stronger read for anyone weighting education. Replicate 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 | LM Studio | Replicate |
|---|---|---|
| Ranking | ||
| Overall rank | #165 | #190 |
| Pillars | ||
| Overall | 51 | 50 |
| Code | 53 | 55 |
| Education | 85 | 72 |
| Community | 44 | 48 |
| Reach | 57 | 74 |
| Momentum | 38 | 31 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 10,521 | 25,062 |
| Forks | 1,584 | 4,596 |
| Public repos | 11 | 169 |
| Active repos (90d) | 5 | 10 |
| External contributors | 42 | 12 |
| Avg polish | 56 | 60 |
| Avg AI-readiness | 30 | 33 |