Fivetran vs LinkedIn
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Fivetran and LinkedIn both appear on the Smoower Developer Ecosystem Index.
Fivetran and LinkedIn sit at essentially the same overall ecosystem score (43), which is unusual and worth reading through the pillars below.
On code quality (the state of repositories, tests, releases and polish), LinkedIn is slightly ahead of Fivetran. On education (docs, guides and learning material for developers), LinkedIn is slightly ahead of Fivetran. On community (issue response, PR reviews and discussion health), LinkedIn is slightly ahead of Fivetran. On reach (how visible the ecosystem is beyond its own repos), LinkedIn is clearly ahead of Fivetran. On momentum (release cadence and how fast the ecosystem moves), Fivetran is ahead of LinkedIn.
Fivetran carries 13,433 GitHub stars across 314 public repos, with 84 repositories active in the last 90 days and 40 external contributors on record. LinkedIn shows 77,785 stars across 137 public repos, 28 active in the last 90 days and 52 external contributors. The star gap on its own does not decide the comparison, but LinkedIn's footprint is roughly 5.8x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
Fivetran is the stronger read for anyone weighting momentum. LinkedIn 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 | Fivetran | |
|---|---|---|
| Ranking | ||
| Overall rank | #338 | #338 |
| Pillars | ||
| Overall | 43 | 43 |
| Code | 57 | 63 |
| Education | 46 | 54 |
| Community | 46 | 49 |
| Reach | 39 | 61 |
| Momentum | 54 | 37 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 13,433 | 77,785 |
| Forks | 2,907 | 12,231 |
| Public repos | 314 | 137 |
| Active repos (90d) | 84 | 28 |
| External contributors | 40 | 52 |
| Avg polish | 66 | 64 |
| Avg AI-readiness | 41 | 43 |