Fillout vs Talend
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Fillout and Talend both appear on the Smoower Developer Ecosystem Index.
Talend (rank #485) holds a narrow lead over Fillout (rank #510) on the overall Smoower ecosystem score (38 vs 37). The gap of 1 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), Talend is ahead of Fillout. On education (docs, guides and learning material for developers), Talend is slightly ahead of Fillout. On community (issue response, PR reviews and discussion health), Fillout is slightly ahead of Talend. On reach (how visible the ecosystem is beyond its own repos), Fillout is ahead of Talend. On momentum (release cadence and how fast the ecosystem moves), Talend is ahead of Fillout.
Fillout carries 2 GitHub stars across 9 public repos, with 3 repositories active in the last 90 days and 3 external contributors on record. Talend shows 486 stars across 148 public repos, 13 active in the last 90 days and 9 external contributors. The star gap on its own does not decide the comparison, but Talend's footprint is roughly 243.0x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
Fillout is the stronger read for anyone weighting reach. Talend looks better where code quality 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 | Fillout | Talend |
|---|---|---|
| Ranking | ||
| Overall rank | #510 | #485 |
| Pillars | ||
| Overall | 37 | 38 |
| Code | 34 | 51 |
| Education | 53 | 57 |
| Community | 27 | 23 |
| Reach | 50 | 35 |
| Momentum | 15 | 26 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 2 | 486 |
| Forks | 4 | 657 |
| Public repos | 9 | 148 |
| Active repos (90d) | 3 | 13 |
| External contributors | 3 | 9 |
| Avg polish | 34 | 53 |
| Avg AI-readiness | 21 | 34 |