langflowvsQFieldCloud
Two self-hosted projects, compared on the numbers selfhost.directory tracks live: score, popularity, release cadence and setup effort.
| langflow | QFieldCloud | |
|---|---|---|
| Score | 90/100 | 54/100 |
| Rank in category | #2 of 209 in AI Agents | #4 of 9 in Mapping & GPS |
| GitHub stars | 156 115 | 246 |
| Stars, last 30 days | +924 | — |
| Stable releases, 12 months | 20 | 10 |
| Latest release | v1.12.8 · 21 Oct 2026 | v26.29 · 23 Oct 2026 |
| Setup | Moderate | Advanced |
| Official Docker image | Yes | No |
| License | MIT | MIT |
| Main language | Python | Python |
Which one should you pick?
langflow scores 90/100 against 54/100 for QFieldCloud, so it is the safer default.
langflow ships more often: 20 stable releases in the past year, against 10 for QFieldCloud.
If you want the quickest setup, langflow is easier to run; QFieldCloud needs more configuration.
langflow is growing faster right now (+924 stars in 30 days).
langflow details →QFieldCloud details →
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