Async Video Messaging for Work
Loom vs Softr
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Loom (Async Video Messaging for Work) and Softr (Softr Platforms GmbH) both appear on the Smoower Developer Ecosystem Index.
Softr (rank #455) holds a narrow lead over Loom (rank #693) on the overall Smoower ecosystem score (39 vs 31). The gap of 8 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), Loom is ahead of Softr. On education (docs, guides and learning material for developers), Softr is ahead of Loom. On community (issue response, PR reviews and discussion health), Softr is clearly ahead of Loom. On reach (how visible the ecosystem is beyond its own repos), Softr is clearly ahead of Loom. On momentum (release cadence and how fast the ecosystem moves), Loom is slightly ahead of Softr.
Loom carries 50 GitHub stars across 32 public repos, with 5 repositories active in the last 90 days and 1 external contributors on record. Softr shows 1 stars across 2 public repos, 1 active in the last 90 days and 12 external contributors. The star gap on its own does not decide the comparison, but Loom's footprint is roughly 50.0x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
Loom is the stronger read for anyone weighting code quality. Softr 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 | Loom | Softr |
|---|---|---|
| Ranking | ||
| Overall rank | #693 | #455 |
| Pillars | ||
| Overall | 31 | 39 |
| Code | 37 | 27 |
| Education | 52 | 66 |
| Community | 11 | 33 |
| Reach | 3 | 40 |
| Momentum | 30 | 24 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 50 | 1 |
| Forks | 13 | 2 |
| Public repos | 32 | 2 |
| Active repos (90d) | 5 | 1 |
| External contributors | 1 | 12 |
| Avg polish | 32 | 35 |
| Avg AI-readiness | 34 | 10 |