OllamavsQFieldCloud
Two self-hosted projects, compared on the numbers selfhost.directory tracks live: score, popularity, release cadence and setup effort.
| Ollama | QFieldCloud | |
|---|---|---|
| Score | 95/100 | 54/100 |
| Rank in category | #1 of 25 in LLM Inference | #4 of 9 in Mapping & GPS |
| GitHub stars | 185 139 | 246 |
| Stars, last 30 days | +3 591 | — |
| Stable releases, 12 months | 50 | 10 |
| Latest release | v0.40.12 · 27 Oct 2026 | v26.29 · 23 Oct 2026 |
| Setup | Easy | Advanced |
| Official Docker image | Yes | No |
| License | MIT | MIT |
| Main language | Go | Python |
Which one should you pick?
Ollama scores 95/100 against 54/100 for QFieldCloud, so it is the safer default.
Ollama ships more often: 50 stable releases in the past year, against 10 for QFieldCloud.
If you want the quickest setup, Ollama is easier to run; QFieldCloud needs more configuration.
Ollama is growing faster right now (+3 591 stars in 30 days).
Ollama details →QFieldCloud details →