celigo vs Klarna
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
celigo and Klarna both appear on the Smoower Developer Ecosystem Index.
Klarna (rank #257) holds a modest lead over celigo (rank #536) on the overall Smoower ecosystem score (47 vs 36). 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), Klarna is ahead of celigo. On education (docs, guides and learning material for developers), Klarna is ahead of celigo. On community (issue response, PR reviews and discussion health), Klarna is slightly ahead of celigo. On reach (how visible the ecosystem is beyond its own repos), Klarna is ahead of celigo. On momentum (release cadence and how fast the ecosystem moves), Klarna is slightly ahead of celigo.
celigo carries 43 GitHub stars across 26 public repos, with 6 repositories active in the last 90 days and 5 external contributors on record. Klarna shows 2,965 stars across 139 public repos, 8 active in the last 90 days and 2 external contributors. The star gap on its own does not decide the comparison, but Klarna's footprint is roughly 69.0x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
celigo is worth a look for teams already invested in its stack. Klarna looks better where education 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 | celigo | Klarna |
|---|---|---|
| Ranking | ||
| Overall rank | #536 | #257 |
| Pillars | ||
| Overall | 36 | 47 |
| Code | 39 | 57 |
| Education | 57 | 76 |
| Community | 29 | 31 |
| Reach | 52 | 64 |
| Momentum | 12 | 16 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 43 | 2,965 |
| Forks | 131 | 737 |
| Public repos | 26 | 139 |
| Active repos (90d) | 6 | 8 |
| External contributors | 5 | 2 |
| Avg polish | 34 | 53 |
| Avg AI-readiness | 30 | 38 |