Open-source software developed at Fastmail.
Fastmail vs Formbricks
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Fastmail (Open-source software developed at Fastmail.) and Formbricks (Open Source Qualtrics Alternative) both appear on the Smoower Developer Ecosystem Index.
Formbricks (rank #237) holds a narrow lead over Fastmail (rank #430) on the overall Smoower ecosystem score (48 vs 40). 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), Formbricks is ahead of Fastmail. On education (docs, guides and learning material for developers), Formbricks is slightly ahead of Fastmail. On community (issue response, PR reviews and discussion health), Formbricks is ahead of Fastmail. On reach (how visible the ecosystem is beyond its own repos), Fastmail is clearly ahead of Formbricks. On momentum (release cadence and how fast the ecosystem moves), Fastmail is ahead of Formbricks.
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. Formbricks shows 12,675 stars across 18 public repos, 9 active in the last 90 days and 6 external contributors.
Fastmail is the stronger read for anyone weighting reach. Formbricks 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 | Formbricks |
|---|---|---|
| Ranking | ||
| Overall rank | #430 | #237 |
| Pillars | ||
| Overall | 40 | 48 |
| Code | 35 | 53 |
| Education | 66 | 67 |
| Community | 33 | 47 |
| Reach | 78 | 36 |
| Momentum | 44 | 24 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 6,316 | 12,675 |
| Forks | 571 | 2,459 |
| Public repos | 38 | 18 |
| Active repos (90d) | 12 | 9 |
| External contributors | 2 | 6 |
| Avg polish | 35 | 57 |
| Avg AI-readiness | 14 | 37 |