sendinblue (now Brevo) vs Swiggy
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
sendinblue (now Brevo) and Swiggy (Swiggy Public Repos) both appear on the Smoower Developer Ecosystem Index.
sendinblue (now Brevo) (rank #372) holds a modest lead over Swiggy (rank #662) on the overall Smoower ecosystem score (42 vs 32). 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), sendinblue (now Brevo) is ahead of Swiggy. On education (docs, guides and learning material for developers), sendinblue (now Brevo) is clearly ahead of Swiggy. On community (issue response, PR reviews and discussion health), Swiggy is ahead of sendinblue (now Brevo). On reach (how visible the ecosystem is beyond its own repos), sendinblue (now Brevo) is ahead of Swiggy. On momentum (release cadence and how fast the ecosystem moves), Swiggy is clearly ahead of sendinblue (now Brevo).
sendinblue (now Brevo) carries 653 GitHub stars across 37 public repos, with 0 repositories active in the last 90 days and 0 external contributors on record. Swiggy shows 314 stars across 22 public repos, 3 active in the last 90 days and 1 external contributors.
sendinblue (now Brevo) is the stronger read for anyone weighting education. Swiggy 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 | sendinblue (now Brevo) | Swiggy |
|---|---|---|
| Ranking | ||
| Overall rank | #372 | #662 |
| Pillars | ||
| Overall | 42 | 32 |
| Code | 47 | 36 |
| Education | 76 | 55 |
| Community | 15 | 30 |
| Reach | 31 | 18 |
| Momentum | 0 | 34 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 653 | 314 |
| Forks | 328 | 93 |
| Public repos | 37 | 22 |
| Active repos (90d) | 0 | 3 |
| External contributors | 0 | 1 |
| Avg polish | 42 | 37 |
| Avg AI-readiness | 40 | 32 |