We harness the world’s data in real time to unlock our customer’s competitive edge.
The Enterprise Automation Platform for powerful integrations and automations
Meltwater vs Workato
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Meltwater (We harness the world’s data in real time to unlock our customer’s competitive edge.) and Workato (The Enterprise Automation Platform for powerful integrations and automations) both appear on the Smoower Developer Ecosystem Index.
Meltwater and Workato sit at essentially the same overall ecosystem score (33), which is unusual and worth reading through the pillars below.
On code quality (the state of repositories, tests, releases and polish), Meltwater is ahead of Workato. On education (docs, guides and learning material for developers), Workato is ahead of Meltwater. On reach (how visible the ecosystem is beyond its own repos), Workato is ahead of Meltwater. On momentum (release cadence and how fast the ecosystem moves), Meltwater is ahead of Workato.
Meltwater carries 196 GitHub stars across 22 public repos, with 6 repositories active in the last 90 days and 1 external contributors on record. Workato shows 112 stars across 67 public repos, 2 active in the last 90 days and 1 external contributors.
Meltwater 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 | Meltwater | Workato |
|---|---|---|
| Ranking | ||
| Overall rank | #625 | #625 |
| Pillars | ||
| Overall | 33 | 33 |
| Code | 54 | 36 |
| Education | 63 | 73 |
| Community | 14 | 14 |
| Reach | 41 | 51 |
| Momentum | 13 | 4 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 196 | 112 |
| Forks | 85 | 121 |
| Public repos | 22 | 67 |
| Active repos (90d) | 6 | 2 |
| External contributors | 1 | 1 |
| Avg polish | 55 | 29 |
| Avg AI-readiness | 39 | 33 |