LinkedIn vs Workday
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
LinkedIn and Workday both appear on the Smoower Developer Ecosystem Index.
Workday (rank #278) holds a narrow lead over LinkedIn (rank #338) on the overall Smoower ecosystem score (46 vs 43). The gap of 3 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), LinkedIn is ahead of Workday. On education (docs, guides and learning material for developers), Workday is clearly ahead of LinkedIn. On community (issue response, PR reviews and discussion health), LinkedIn is ahead of Workday. On reach (how visible the ecosystem is beyond its own repos), LinkedIn is clearly ahead of Workday. On momentum (release cadence and how fast the ecosystem moves), LinkedIn is slightly ahead of Workday.
LinkedIn carries 77,785 GitHub stars across 137 public repos, with 28 repositories active in the last 90 days and 52 external contributors on record. Workday shows 1,102 stars across 57 public repos, 19 active in the last 90 days and 11 external contributors. The star gap on its own does not decide the comparison, but LinkedIn's footprint is roughly 70.6x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
LinkedIn is the stronger read for anyone weighting reach. Workday 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 | Workday | |
|---|---|---|
| Ranking | ||
| Overall rank | #338 | #278 |
| Pillars | ||
| Overall | 43 | 46 |
| Code | 63 | 54 |
| Education | 54 | 79 |
| Community | 49 | 40 |
| Reach | 61 | 28 |
| Momentum | 37 | 32 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 77,785 | 1,102 |
| Forks | 12,231 | 580 |
| Public repos | 137 | 57 |
| Active repos (90d) | 28 | 19 |
| External contributors | 52 | 11 |
| Avg polish | 64 | 59 |
| Avg AI-readiness | 43 | 36 |