The Enterprise Automation Platform for powerful integrations and automations
Iterable vs Workato
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Iterable and Workato (The Enterprise Automation Platform for powerful integrations and automations) both appear on the Smoower Developer Ecosystem Index.
Iterable (rank #317) holds a modest lead over Workato (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), Iterable is ahead of Workato. On education (docs, guides and learning material for developers), Workato is ahead of Iterable. On community (issue response, PR reviews and discussion health), Iterable is clearly ahead of Workato. On reach (how visible the ecosystem is beyond its own repos), Workato is clearly ahead of Iterable. On momentum (release cadence and how fast the ecosystem moves), Iterable is clearly ahead of Workato.
Iterable carries 269 GitHub stars across 100 public repos, with 16 repositories active in the last 90 days and 10 external contributors on record. Workato shows 112 stars across 67 public repos, 2 active in the last 90 days and 1 external contributors.
Iterable is the stronger read for anyone weighting momentum. Workato looks better where reach 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 | Workato |
|---|---|---|
| Ranking | ||
| Overall rank | #317 | #625 |
| Pillars | ||
| Overall | 44 | 33 |
| Code | 51 | 36 |
| Education | 59 | 73 |
| Community | 35 | 13 |
| Reach | 16 | 51 |
| Momentum | 58 | 4 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 269 | 112 |
| Forks | 212 | 121 |
| Public repos | 100 | 67 |
| Active repos (90d) | 16 | 2 |
| External contributors | 10 | 1 |
| Avg polish | 53 | 29 |
| Avg AI-readiness | 34 | 33 |