celigo vs Spendesk
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
celigo and Spendesk (The 7-in-1 spend management solution) both appear on the Smoower Developer Ecosystem Index.
celigo and Spendesk sit at essentially the same overall ecosystem score (36), which is unusual and worth reading through the pillars below.
On code quality (the state of repositories, tests, releases and polish), celigo is slightly ahead of Spendesk. On education (docs, guides and learning material for developers), Spendesk is ahead of celigo. On community (issue response, PR reviews and discussion health), celigo is ahead of Spendesk. On reach (how visible the ecosystem is beyond its own repos), celigo is clearly ahead of Spendesk. On momentum (release cadence and how fast the ecosystem moves), Spendesk is clearly 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. Spendesk shows 10 stars across 39 public repos, 1 active in the last 90 days and 0 external contributors. The star gap on its own does not decide the comparison, but celigo's footprint is roughly 4.3x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
celigo is the stronger read for anyone weighting reach. Spendesk looks better where momentum 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 | Spendesk |
|---|---|---|
| Ranking | ||
| Overall rank | #536 | #536 |
| Pillars | ||
| Overall | 36 | 36 |
| Code | 39 | 36 |
| Education | 57 | 68 |
| Community | 29 | 12 |
| Reach | 52 | 19 |
| Momentum | 12 | 48 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 43 | 10 |
| Forks | 131 | 13 |
| Public repos | 26 | 39 |
| Active repos (90d) | 6 | 1 |
| External contributors | 5 | 0 |
| Avg polish | 34 | 25 |
| Avg AI-readiness | 30 | 35 |