15Five vs Talend
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
15Five and Talend both appear on the Smoower Developer Ecosystem Index.
Talend (rank #485) holds a narrow lead over 15Five (rank #693) on the overall Smoower ecosystem score (38 vs 31). The gap of 7 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 15Five. On education (docs, guides and learning material for developers), Talend is slightly ahead of 15Five. On community (issue response, PR reviews and discussion health), 15Five is ahead of Talend. On reach (how visible the ecosystem is beyond its own repos), Talend is clearly ahead of 15Five. On momentum (release cadence and how fast the ecosystem moves), 15Five is slightly ahead of Talend.
15Five carries 141 GitHub stars across 29 public repos, with 2 repositories active in the last 90 days and 5 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 3.4x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
15Five is the stronger read for anyone weighting community. Talend 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 | 15Five | Talend |
|---|---|---|
| Ranking | ||
| Overall rank | #693 | #485 |
| Pillars | ||
| Overall | 31 | 38 |
| Code | 42 | 51 |
| Education | 49 | 57 |
| Community | 32 | 23 |
| Reach | 5 | 35 |
| Momentum | 34 | 26 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 141 | 486 |
| Forks | 52 | 657 |
| Public repos | 29 | 148 |
| Active repos (90d) | 2 | 13 |
| External contributors | 5 | 9 |
| Avg polish | 38 | 53 |
| Avg AI-readiness | 28 | 34 |