Iterable vs sendinblue (now Brevo)
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Iterable and sendinblue (now Brevo) both appear on the Smoower Developer Ecosystem Index.
Iterable (rank #317) holds a narrow lead over sendinblue (now Brevo) (rank #372) on the overall Smoower ecosystem score (44 vs 42). The gap of 2 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), Iterable is slightly ahead of sendinblue (now Brevo). On education (docs, guides and learning material for developers), sendinblue (now Brevo) is ahead of Iterable. On community (issue response, PR reviews and discussion health), Iterable is ahead of sendinblue (now Brevo). On reach (how visible the ecosystem is beyond its own repos), sendinblue (now Brevo) is ahead of Iterable. On momentum (release cadence and how fast the ecosystem moves), Iterable is clearly ahead of sendinblue (now Brevo).
Iterable carries 269 GitHub stars across 100 public repos, with 16 repositories active in the last 90 days and 10 external contributors on record. sendinblue (now Brevo) shows 653 stars across 37 public repos, 0 active in the last 90 days and 0 external contributors.
Iterable is the stronger read for anyone weighting momentum. sendinblue (now Brevo) looks better where education 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 | Iterable | sendinblue (now Brevo) |
|---|---|---|
| Ranking | ||
| Overall rank | #317 | #372 |
| Pillars | ||
| Overall | 44 | 42 |
| Code | 51 | 47 |
| Education | 59 | 76 |
| Community | 35 | 15 |
| Reach | 16 | 31 |
| Momentum | 58 | 0 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 269 | 653 |
| Forks | 212 | 328 |
| Public repos | 100 | 37 |
| Active repos (90d) | 16 | 0 |
| External contributors | 10 | 0 |
| Avg polish | 53 | 42 |
| Avg AI-readiness | 34 | 40 |