Open-source software developed at Fastmail.
Fastmail vs SoundCloud
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Fastmail (Open-source software developed at Fastmail.) and SoundCloud both appear on the Smoower Developer Ecosystem Index.
Fastmail (rank #430) holds a narrow lead over SoundCloud (rank #536) on the overall Smoower ecosystem score (40 vs 36). The gap of 4 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), SoundCloud is slightly ahead of Fastmail. On education (docs, guides and learning material for developers), Fastmail is slightly ahead of SoundCloud. On community (issue response, PR reviews and discussion health), SoundCloud is slightly ahead of Fastmail. On reach (how visible the ecosystem is beyond its own repos), Fastmail is clearly ahead of SoundCloud. On momentum (release cadence and how fast the ecosystem moves), Fastmail is slightly ahead of SoundCloud.
Fastmail carries 6,316 GitHub stars across 38 public repos, with 12 repositories active in the last 90 days and 2 external contributors on record. SoundCloud shows 8,606 stars across 56 public repos, 17 active in the last 90 days and 4 external contributors.
Fastmail is the stronger read for anyone weighting reach. SoundCloud looks better where code quality 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 | Fastmail | SoundCloud |
|---|---|---|
| Ranking | ||
| Overall rank | #430 | #536 |
| Pillars | ||
| Overall | 40 | 36 |
| Code | 35 | 42 |
| Education | 66 | 61 |
| Community | 33 | 39 |
| Reach | 78 | 45 |
| Momentum | 44 | 43 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 6,316 | 8,606 |
| Forks | 571 | 1,142 |
| Public repos | 38 | 56 |
| Active repos (90d) | 12 | 17 |
| External contributors | 2 | 4 |
| Avg polish | 35 | 46 |
| Avg AI-readiness | 14 | 32 |