The Enterprise Automation Platform for powerful integrations and automations
Dialpad vs Workato
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Dialpad and Workato (The Enterprise Automation Platform for powerful integrations and automations) both appear on the Smoower Developer Ecosystem Index.
Dialpad (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), Dialpad is ahead of Workato. On education (docs, guides and learning material for developers), Workato is slightly ahead of Dialpad. On community (issue response, PR reviews and discussion health), Dialpad is slightly ahead of Workato. On reach (how visible the ecosystem is beyond its own repos), Dialpad is slightly ahead of Workato. On momentum (release cadence and how fast the ecosystem moves), Dialpad is ahead of Workato.
Dialpad carries 111 GitHub stars across 25 public repos, with 5 repositories active in the last 90 days and 19 external contributors on record. Workato shows 112 stars across 67 public repos, 2 active in the last 90 days and 1 external contributors.
Dialpad is the stronger read for anyone weighting code quality. Workato looks better where education 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 | Dialpad | Workato |
|---|---|---|
| Ranking | ||
| Overall rank | #317 | #625 |
| Pillars | ||
| Overall | 44 | 33 |
| Code | 53 | 36 |
| Education | 72 | 73 |
| Community | 20 | 13 |
| Reach | 57 | 51 |
| Momentum | 15 | 4 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 111 | 112 |
| Forks | 45 | 121 |
| Public repos | 25 | 67 |
| Active repos (90d) | 5 | 2 |
| External contributors | 19 | 1 |
| Avg polish | 54 | 29 |
| Avg AI-readiness | 38 | 33 |