Empowering people with simple yet powerful tools ✨
Doist vs Fastmail
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Doist (Empowering people with simple yet powerful tools ✨) and Fastmail (Open-source software developed at Fastmail.) both appear on the Smoower Developer Ecosystem Index.
Doist (rank #122) holds a modest lead over Fastmail (rank #430) on the overall Smoower ecosystem score (54 vs 40). The gap of 14 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), Doist is clearly ahead of Fastmail. On education (docs, guides and learning material for developers), Doist is ahead of Fastmail. On community (issue response, PR reviews and discussion health), Doist is slightly ahead of Fastmail. On reach (how visible the ecosystem is beyond its own repos), Fastmail is clearly ahead of Doist. On momentum (release cadence and how fast the ecosystem moves), Doist is slightly ahead of Fastmail.
Doist carries 5,576 GitHub stars across 170 public repos, with 45 repositories active in the last 90 days and 21 external contributors on record. Fastmail shows 6,316 stars across 38 public repos, 12 active in the last 90 days and 2 external contributors.
Doist is the stronger read for anyone weighting code quality. Fastmail 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 | Doist | Fastmail |
|---|---|---|
| Ranking | ||
| Overall rank | #122 | #430 |
| Pillars | ||
| Overall | 54 | 40 |
| Code | 59 | 35 |
| Education | 85 | 66 |
| Community | 36 | 33 |
| Reach | 40 | 78 |
| Momentum | 46 | 44 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 5,576 | 6,316 |
| Forks | 563 | 571 |
| Public repos | 170 | 38 |
| Active repos (90d) | 45 | 12 |
| External contributors | 21 | 2 |
| Avg polish | 58 | 35 |
| Avg AI-readiness | 47 | 14 |