Cloudbeds vs MailerSend
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Cloudbeds and MailerSend (Email service that delivers) both appear on the Smoower Developer Ecosystem Index.
MailerSend (rank #401) holds a modest lead over Cloudbeds (rank #727) on the overall Smoower ecosystem score (41 vs 30). The gap of 11 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), MailerSend is slightly ahead of Cloudbeds. On education (docs, guides and learning material for developers), MailerSend is ahead of Cloudbeds. On reach (how visible the ecosystem is beyond its own repos), MailerSend is clearly ahead of Cloudbeds. On momentum (release cadence and how fast the ecosystem moves), MailerSend is ahead of Cloudbeds.
Cloudbeds carries 49 GitHub stars across 29 public repos, with 9 repositories active in the last 90 days and 3 external contributors on record. MailerSend shows 499 stars across 22 public repos, 12 active in the last 90 days and 6 external contributors. The star gap on its own does not decide the comparison, but MailerSend's footprint is roughly 10.2x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
Cloudbeds is worth a look for teams already invested in its stack. MailerSend 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 | Cloudbeds | MailerSend |
|---|---|---|
| Ranking | ||
| Overall rank | #727 | #401 |
| Pillars | ||
| Overall | 30 | 41 |
| Code | 43 | 50 |
| Education | 71 | 82 |
| Community | 29 | 29 |
| Reach | 0 | 24 |
| Momentum | 18 | 27 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 49 | 499 |
| Forks | 11 | 140 |
| Public repos | 29 | 22 |
| Active repos (90d) | 9 | 12 |
| External contributors | 3 | 6 |
| Avg polish | 39 | 50 |
| Avg AI-readiness | 30 | 37 |