Join LiveChat Developer Program https://platform.text.com/
LiveChat vs Swiggy
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
LiveChat (Join LiveChat Developer Program https://platform.text.com/) and Swiggy (Swiggy Public Repos) both appear on the Smoower Developer Ecosystem Index.
LiveChat (rank #141) holds a meaningful lead over Swiggy (rank #662) on the overall Smoower ecosystem score (53 vs 32). The gap of 21 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), LiveChat is ahead of Swiggy. On education (docs, guides and learning material for developers), LiveChat is clearly ahead of Swiggy. On community (issue response, PR reviews and discussion health), LiveChat is slightly ahead of Swiggy. On reach (how visible the ecosystem is beyond its own repos), LiveChat is clearly ahead of Swiggy. On momentum (release cadence and how fast the ecosystem moves), LiveChat is slightly ahead of Swiggy.
LiveChat carries 755 GitHub stars across 168 public repos, with 24 repositories active in the last 90 days and 13 external contributors on record. Swiggy shows 314 stars across 22 public repos, 3 active in the last 90 days and 1 external contributors.
LiveChat 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 | LiveChat | Swiggy |
|---|---|---|
| Ranking | ||
| Overall rank | #141 | #662 |
| Pillars | ||
| Overall | 53 | 32 |
| Code | 54 | 36 |
| Education | 80 | 55 |
| Community | 36 | 30 |
| Reach | 50 | 18 |
| Momentum | 35 | 34 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 755 | 314 |
| Forks | 335 | 93 |
| Public repos | 168 | 22 |
| Active repos (90d) | 24 | 3 |
| External contributors | 13 | 1 |
| Avg polish | 55 | 37 |
| Avg AI-readiness | 37 | 32 |