Aircall vs celigo
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Aircall and celigo both appear on the Smoower Developer Ecosystem Index.
Aircall (rank #485) holds a narrow lead over celigo (rank #536) on the overall Smoower ecosystem score (38 vs 36). The gap of 2 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), celigo is slightly ahead of Aircall. On education (docs, guides and learning material for developers), Aircall is slightly ahead of celigo. On community (issue response, PR reviews and discussion health), celigo is ahead of Aircall. On reach (how visible the ecosystem is beyond its own repos), Aircall is ahead of celigo. On momentum (release cadence and how fast the ecosystem moves), celigo is ahead of Aircall.
Aircall carries 156 GitHub stars across 28 public repos, with 1 repositories active in the last 90 days and 1 external contributors on record. celigo shows 43 stars across 26 public repos, 6 active in the last 90 days and 5 external contributors. The star gap on its own does not decide the comparison, but Aircall's footprint is roughly 3.6x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
Aircall is the stronger read for anyone weighting reach. celigo looks better where community 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 | Aircall | celigo |
|---|---|---|
| Ranking | ||
| Overall rank | #485 | #536 |
| Pillars | ||
| Overall | 38 | 36 |
| Code | 35 | 39 |
| Education | 64 | 57 |
| Community | 14 | 29 |
| Reach | 61 | 52 |
| Momentum | 2 | 12 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 156 | 43 |
| Forks | 159 | 131 |
| Public repos | 28 | 26 |
| Active repos (90d) | 1 | 6 |
| External contributors | 1 | 5 |
| Avg polish | 34 | 34 |
| Avg AI-readiness | 26 | 30 |