Make things that matter, together. See also @productboardlabs
celigo vs Productboard
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
celigo and Productboard (Make things that matter, together. See also @productboardlabs) both appear on the Smoower Developer Ecosystem Index.
celigo (rank #536) holds a narrow lead over Productboard (rank #625) on the overall Smoower ecosystem score (36 vs 33). The gap of 3 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), Productboard is slightly ahead of celigo. On education (docs, guides and learning material for developers), celigo is clearly ahead of Productboard. On community (issue response, PR reviews and discussion health), celigo is ahead of Productboard. On reach (how visible the ecosystem is beyond its own repos), celigo is clearly ahead of Productboard. On momentum (release cadence and how fast the ecosystem moves), Productboard 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. Productboard shows 90 stars across 87 public repos, 8 active in the last 90 days and 2 external contributors.
celigo is the stronger read for anyone weighting reach. Productboard 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 | Productboard |
|---|---|---|
| Ranking | ||
| Overall rank | #536 | #625 |
| Pillars | ||
| Overall | 36 | 33 |
| Code | 39 | 41 |
| Education | 57 | 30 |
| Community | 29 | 16 |
| Reach | 52 | 22 |
| Momentum | 12 | 48 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 43 | 90 |
| Forks | 131 | 79 |
| Public repos | 26 | 87 |
| Active repos (90d) | 6 | 8 |
| External contributors | 5 | 2 |
| Avg polish | 34 | 32 |
| Avg AI-readiness | 30 | 34 |