We do love open source and have an opportunity to make it better from now.
Semrush vs Swiggy
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Semrush (We do love open source and have an opportunity to make it better from now.) and Swiggy (Swiggy Public Repos) both appear on the Smoower Developer Ecosystem Index.
Semrush (rank #317) holds a modest lead over Swiggy (rank #662) on the overall Smoower ecosystem score (44 vs 32). The gap of 12 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), Semrush is slightly ahead of Swiggy. On education (docs, guides and learning material for developers), Semrush is ahead of Swiggy. On community (issue response, PR reviews and discussion health), Semrush is slightly ahead of Swiggy. On reach (how visible the ecosystem is beyond its own repos), Semrush is ahead of Swiggy. On momentum (release cadence and how fast the ecosystem moves), Semrush is slightly ahead of Swiggy.
Semrush carries 454 GitHub stars across 11 public repos, with 2 repositories active in the last 90 days and 7 external contributors on record. Swiggy shows 314 stars across 22 public repos, 3 active in the last 90 days and 1 external contributors.
Semrush is the stronger read for anyone weighting reach. Swiggy makes more sense for teams already using its adjacent tools. 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 | Semrush | Swiggy |
|---|---|---|
| Ranking | ||
| Overall rank | #317 | #662 |
| Pillars | ||
| Overall | 44 | 32 |
| Code | 44 | 36 |
| Education | 65 | 55 |
| Community | 36 | 30 |
| Reach | 35 | 18 |
| Momentum | 37 | 34 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 454 | 314 |
| Forks | 124 | 93 |
| Public repos | 11 | 22 |
| Active repos (90d) | 2 | 3 |
| External contributors | 7 | 1 |
| Avg polish | 48 | 37 |
| Avg AI-readiness | 32 | 32 |