Fireworks.ai vs LM Studio
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Fireworks.ai 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 Fireworks.ai (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 ahead of Fireworks.ai. On education (docs, guides and learning material for developers), LM Studio is clearly ahead of Fireworks.ai. On community (issue response, PR reviews and discussion health), Fireworks.ai is ahead of LM Studio. On reach (how visible the ecosystem is beyond its own repos), LM Studio is clearly ahead of Fireworks.ai. On momentum (release cadence and how fast the ecosystem moves), LM Studio is slightly ahead of Fireworks.ai.
Fireworks.ai carries 359 GitHub stars across 29 public repos, with 19 repositories active in the last 90 days and 43 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 29.3x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
Fireworks.ai is the stronger read for anyone weighting community. 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 | Fireworks.ai | LM Studio |
|---|---|---|
| Ranking | ||
| Overall rank | #430 | #165 |
| Pillars | ||
| Overall | 40 | 51 |
| Code | 37 | 53 |
| Education | 58 | 85 |
| Community | 54 | 44 |
| Reach | 17 | 57 |
| Momentum | 32 | 38 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 359 | 10,521 |
| Forks | 119 | 1,584 |
| Public repos | 29 | 11 |
| Active repos (90d) | 19 | 5 |
| External contributors | 43 | 42 |
| Avg polish | 41 | 56 |
| Avg AI-readiness | 28 | 30 |