Genial.ly vs Skyscanner
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Genial.ly and Skyscanner both appear on the Smoower Developer Ecosystem Index.
Skyscanner (rank #209) holds a modest lead over Genial.ly (rank #569) on the overall Smoower ecosystem score (49 vs 35). The gap of 14 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), Skyscanner is clearly ahead of Genial.ly. On community (issue response, PR reviews and discussion health), Skyscanner is ahead of Genial.ly. On reach (how visible the ecosystem is beyond its own repos), Skyscanner is ahead of Genial.ly. On momentum (release cadence and how fast the ecosystem moves), Skyscanner is clearly ahead of Genial.ly.
Genial.ly carries 71 GitHub stars across 13 public repos, with 1 repositories active in the last 90 days and 1 external contributors on record. Skyscanner shows 8,167 stars across 86 public repos, 18 active in the last 90 days and 39 external contributors. The star gap on its own does not decide the comparison, but Skyscanner's footprint is roughly 115.0x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
Genial.ly is worth a look for teams already invested in its stack. Skyscanner looks better where code quality 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 | Genial.ly | Skyscanner |
|---|---|---|
| Ranking | ||
| Overall rank | #569 | #209 |
| Pillars | ||
| Overall | 35 | 49 |
| Code | 40 | 67 |
| Education | 72 | 72 |
| Community | 20 | 40 |
| Reach | 17 | 32 |
| Momentum | 18 | 41 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 71 | 8,167 |
| Forks | 53 | 1,526 |
| Public repos | 13 | 86 |
| Active repos (90d) | 1 | 18 |
| External contributors | 1 | 39 |
| Avg polish | 33 | 74 |
| Avg AI-readiness | 30 | 47 |