Skyscanner vs The Washington Post
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Skyscanner and The Washington Post both appear on the Smoower Developer Ecosystem Index.
Skyscanner (rank #209) holds a modest lead over The Washington Post (rank #510) on the overall Smoower ecosystem score (49 vs 37). 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), Skyscanner is ahead of The Washington Post. On education (docs, guides and learning material for developers), Skyscanner is clearly ahead of The Washington Post. On community (issue response, PR reviews and discussion health), Skyscanner is clearly ahead of The Washington Post. On reach (how visible the ecosystem is beyond its own repos), The Washington Post is ahead of Skyscanner. On momentum (release cadence and how fast the ecosystem moves), Skyscanner is clearly ahead of The Washington Post.
Skyscanner carries 8,167 GitHub stars across 86 public repos, with 18 repositories active in the last 90 days and 39 external contributors on record. The Washington Post shows 2,751 stars across 91 public repos, 3 active in the last 90 days and 0 external contributors.
Skyscanner is the stronger read for anyone weighting education. The Washington Post looks better where reach 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 | Skyscanner | The Washington Post |
|---|---|---|
| Ranking | ||
| Overall rank | #209 | #510 |
| Pillars | ||
| Overall | 49 | 37 |
| Code | 67 | 50 |
| Education | 72 | 49 |
| Community | 40 | 18 |
| Reach | 32 | 50 |
| Momentum | 41 | 18 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 8,167 | 2,751 |
| Forks | 1,526 | 1,061 |
| Public repos | 86 | 91 |
| Active repos (90d) | 18 | 3 |
| External contributors | 39 | 0 |
| Avg polish | 74 | 55 |
| Avg AI-readiness | 47 | 30 |