Iterable vs Kanboard
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Iterable and Kanboard (Kanban project management software) both appear on the Smoower Developer Ecosystem Index.
Iterable (rank #317) holds a modest lead over Kanboard (rank #625) on the overall Smoower ecosystem score (44 vs 33). 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), Kanboard is slightly ahead of Iterable. On education (docs, guides and learning material for developers), Iterable is slightly ahead of Kanboard. On community (issue response, PR reviews and discussion health), Kanboard is clearly ahead of Iterable. On reach (how visible the ecosystem is beyond its own repos), Iterable is slightly ahead of Kanboard. On momentum (release cadence and how fast the ecosystem moves), Iterable is clearly ahead of Kanboard.
Iterable carries 269 GitHub stars across 100 public repos, with 16 repositories active in the last 90 days and 10 external contributors on record. Kanboard shows 10,486 stars across 52 public repos, 4 active in the last 90 days and 13 external contributors. The star gap on its own does not decide the comparison, but Kanboard's footprint is roughly 39.0x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
Iterable is the stronger read for anyone weighting momentum. Kanboard 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 | Iterable | Kanboard |
|---|---|---|
| Ranking | ||
| Overall rank | #317 | #625 |
| Pillars | ||
| Overall | 44 | 33 |
| Code | 51 | 52 |
| Education | 59 | 57 |
| Community | 35 | 64 |
| Reach | 16 | 8 |
| Momentum | 58 | 21 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 269 | 10,486 |
| Forks | 212 | 2,719 |
| Public repos | 100 | 52 |
| Active repos (90d) | 16 | 4 |
| External contributors | 10 | 13 |
| Avg polish | 53 | 59 |
| Avg AI-readiness | 34 | 23 |