Guild AI vs Ollama
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Guild AI and Ollama both appear on the Smoower Developer Ecosystem Index.
Ollama (rank #122) holds a meaningful lead over Guild AI (rank #763) on the overall Smoower ecosystem score (54 vs 29). The gap of 25 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), Ollama is clearly ahead of Guild AI. On education (docs, guides and learning material for developers), Ollama is ahead of Guild AI. On community (issue response, PR reviews and discussion health), Ollama is ahead of Guild AI. On reach (how visible the ecosystem is beyond its own repos), Ollama is clearly ahead of Guild AI. On momentum (release cadence and how fast the ecosystem moves), Ollama 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. Ollama shows 190,304 stars across 4 public repos, 3 active in the last 90 days and 241 external contributors. The star gap on its own does not decide the comparison, but Ollama's footprint is roughly 189.7x 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. Ollama looks better where momentum 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 | Ollama |
|---|---|---|
| Ranking | ||
| Overall rank | #763 | #122 |
| Pillars | ||
| Overall | 29 | 54 |
| Code | 34 | 62 |
| Education | 65 | 75 |
| Community | 31 | 46 |
| Reach | 9 | 56 |
| Momentum | 0 | 56 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 1,003 | 190,304 |
| Forks | 111 | 18,456 |
| Public repos | 29 | 4 |
| Active repos (90d) | 0 | 3 |
| External contributors | 1 | 241 |
| Avg polish | 39 | 60 |
| Avg AI-readiness | 15 | 54 |