Avalara vs MailerSend
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Avalara and MailerSend (Email service that delivers) both appear on the Smoower Developer Ecosystem Index.
MailerSend (rank #401) holds a modest lead over Avalara (rank #693) on the overall Smoower ecosystem score (41 vs 31). The gap of 10 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), MailerSend is ahead of Avalara. On education (docs, guides and learning material for developers), MailerSend is clearly ahead of Avalara. On community (issue response, PR reviews and discussion health), MailerSend is ahead of Avalara. On momentum (release cadence and how fast the ecosystem moves), MailerSend is clearly ahead of Avalara.
Avalara carries 21 GitHub stars across 7 public repos, with 0 repositories active in the last 90 days and 0 external contributors on record. MailerSend shows 499 stars across 22 public repos, 12 active in the last 90 days and 7 external contributors. The star gap on its own does not decide the comparison, but MailerSend's footprint is roughly 23.8x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
Avalara is worth a look for teams already invested in its stack. MailerSend looks better where momentum 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 | Avalara | MailerSend |
|---|---|---|
| Ranking | ||
| Overall rank | #693 | #401 |
| Pillars | ||
| Overall | 31 | 41 |
| Code | 38 | 50 |
| Education | 57 | 82 |
| Community | 18 | 30 |
| Reach | 24 | 24 |
| Momentum | 0 | 27 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 21 | 499 |
| Forks | 29 | 141 |
| Public repos | 7 | 22 |
| Active repos (90d) | 0 | 12 |
| External contributors | 0 | 7 |
| Avg polish | 44 | 50 |
| Avg AI-readiness | 19 | 37 |