Async Video Messaging for Work
Loom vs Wistia
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Loom (Async Video Messaging for Work) and Wistia (One place for all your team’s video-ing) both appear on the Smoower Developer Ecosystem Index.
Wistia (rank #278) holds a modest lead over Loom (rank #693) on the overall Smoower ecosystem score (46 vs 31). The gap of 15 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), Wistia is slightly ahead of Loom. On education (docs, guides and learning material for developers), Wistia is clearly ahead of Loom. On community (issue response, PR reviews and discussion health), Wistia is ahead of Loom. On reach (how visible the ecosystem is beyond its own repos), Wistia is clearly ahead of Loom. On momentum (release cadence and how fast the ecosystem moves), Wistia is slightly ahead of Loom.
Loom carries 50 GitHub stars across 32 public repos, with 5 repositories active in the last 90 days and 1 external contributors on record. Wistia shows 680 stars across 173 public repos, 23 active in the last 90 days and 2 external contributors. The star gap on its own does not decide the comparison, but Wistia's footprint is roughly 13.6x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
Loom is worth a look for teams already invested in its stack. Wistia 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 | Wistia |
|---|---|---|
| Ranking | ||
| Overall rank | #693 | #278 |
| Pillars | ||
| Overall | 31 | 46 |
| Code | 37 | 45 |
| Education | 52 | 77 |
| Community | 11 | 21 |
| Reach | 3 | 40 |
| Momentum | 30 | 34 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 50 | 680 |
| Forks | 13 | 173 |
| Public repos | 32 | 173 |
| Active repos (90d) | 5 | 23 |
| External contributors | 1 | 2 |
| Avg polish | 32 | 43 |
| Avg AI-readiness | 34 | 29 |