LinkedIn vs mParticle by Rokt
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
LinkedIn and mParticle by Rokt both appear on the Smoower Developer Ecosystem Index.
LinkedIn and mParticle by Rokt 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 mParticle by Rokt. On education (docs, guides and learning material for developers), mParticle by Rokt is ahead of LinkedIn. On community (issue response, PR reviews and discussion health), LinkedIn is ahead of mParticle by Rokt. On reach (how visible the ecosystem is beyond its own repos), LinkedIn is clearly ahead of mParticle by Rokt. On momentum (release cadence and how fast the ecosystem moves), LinkedIn is ahead of mParticle by Rokt.
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. mParticle by Rokt shows 317 stars across 85 public repos, 14 active in the last 90 days and 21 external contributors. The star gap on its own does not decide the comparison, but LinkedIn's footprint is roughly 245.4x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
LinkedIn is the stronger read for anyone weighting reach. mParticle by Rokt 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 | mParticle by Rokt | |
|---|---|---|
| Ranking | ||
| Overall rank | #338 | #338 |
| Pillars | ||
| Overall | 43 | 43 |
| Code | 63 | 59 |
| Education | 54 | 63 |
| Community | 49 | 38 |
| Reach | 61 | 28 |
| Momentum | 37 | 27 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 77,785 | 317 |
| Forks | 12,231 | 521 |
| Public repos | 137 | 85 |
| Active repos (90d) | 28 | 14 |
| External contributors | 52 | 21 |
| Avg polish | 64 | 62 |
| Avg AI-readiness | 43 | 50 |