Async Video Messaging for Work
Loom vs Qonto
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Loom (Async Video Messaging for Work) and Qonto both appear on the Smoower Developer Ecosystem Index.
Qonto (rank #338) holds a modest lead over Loom (rank #693) on the overall Smoower ecosystem score (43 vs 31). The gap of 12 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), Qonto is ahead of Loom. On education (docs, guides and learning material for developers), Qonto is clearly ahead of Loom. On community (issue response, PR reviews and discussion health), Qonto is ahead of Loom. On reach (how visible the ecosystem is beyond its own repos), Qonto is clearly ahead of Loom. On momentum (release cadence and how fast the ecosystem moves), Loom is ahead of Qonto.
Loom carries 50 GitHub stars across 32 public repos, with 5 repositories active in the last 90 days and 1 external contributors on record. Qonto shows 501 stars across 75 public repos, 11 active in the last 90 days and 5 external contributors. The star gap on its own does not decide the comparison, but Qonto's footprint is roughly 10.0x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
Loom is the stronger read for anyone weighting momentum. Qonto looks better where education 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 | Loom | Qonto |
|---|---|---|
| Ranking | ||
| Overall rank | #693 | #338 |
| Pillars | ||
| Overall | 31 | 43 |
| Code | 37 | 57 |
| Education | 52 | 75 |
| Community | 11 | 25 |
| Reach | 3 | 24 |
| Momentum | 30 | 21 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 50 | 501 |
| Forks | 13 | 158 |
| Public repos | 32 | 75 |
| Active repos (90d) | 5 | 11 |
| External contributors | 1 | 5 |
| Avg polish | 32 | 62 |
| Avg AI-readiness | 34 | 36 |