Skyscanner vs Talend
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Skyscanner and Talend both appear on the Smoower Developer Ecosystem Index.
Skyscanner (rank #209) holds a modest lead over Talend (rank #485) on the overall Smoower ecosystem score (49 vs 38). The gap of 11 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 Talend. On education (docs, guides and learning material for developers), Skyscanner is ahead of Talend. On community (issue response, PR reviews and discussion health), Skyscanner is ahead of Talend. On reach (how visible the ecosystem is beyond its own repos), Talend is slightly ahead of Skyscanner. On momentum (release cadence and how fast the ecosystem moves), Skyscanner is ahead of Talend.
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. Talend shows 486 stars across 148 public repos, 13 active in the last 90 days and 9 external contributors. The star gap on its own does not decide the comparison, but Skyscanner's footprint is roughly 16.8x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
Skyscanner is the stronger read for anyone weighting community. Talend 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 | Talend |
|---|---|---|
| Ranking | ||
| Overall rank | #209 | #485 |
| Pillars | ||
| Overall | 49 | 38 |
| Code | 67 | 51 |
| Education | 72 | 57 |
| Community | 40 | 23 |
| Reach | 32 | 35 |
| Momentum | 41 | 26 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 8,167 | 486 |
| Forks | 1,526 | 657 |
| Public repos | 86 | 148 |
| Active repos (90d) | 18 | 13 |
| External contributors | 39 | 9 |
| Avg polish | 74 | 53 |
| Avg AI-readiness | 47 | 34 |