mParticle by Rokt vs Starling Bank
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
mParticle by Rokt and Starling Bank both appear on the Smoower Developer Ecosystem Index.
mParticle by Rokt (rank #338) holds a modest lead over Starling Bank (rank #625) on the overall Smoower ecosystem score (43 vs 33). The gap of 10 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), mParticle by Rokt is ahead of Starling Bank. On education (docs, guides and learning material for developers), mParticle by Rokt is slightly ahead of Starling Bank. On community (issue response, PR reviews and discussion health), mParticle by Rokt is clearly ahead of Starling Bank. On reach (how visible the ecosystem is beyond its own repos), Starling Bank is clearly ahead of mParticle by Rokt. On momentum (release cadence and how fast the ecosystem moves), Starling Bank is clearly ahead of mParticle by Rokt.
mParticle by Rokt carries 317 GitHub stars across 85 public repos, with 14 repositories active in the last 90 days and 21 external contributors on record. Starling Bank shows 195 stars across 3 public repos, 3 active in the last 90 days and 0 external contributors.
mParticle by Rokt is the stronger read for anyone weighting community. Starling Bank 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 | mParticle by Rokt | Starling Bank |
|---|---|---|
| Ranking | ||
| Overall rank | #338 | #625 |
| Pillars | ||
| Overall | 43 | 33 |
| Code | 59 | 50 |
| Education | 63 | 55 |
| Community | 38 | 9 |
| Reach | 28 | 63 |
| Momentum | 27 | 48 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 317 | 195 |
| Forks | 521 | 29 |
| Public repos | 85 | 3 |
| Active repos (90d) | 14 | 3 |
| External contributors | 21 | 0 |
| Avg polish | 62 | 58 |
| Avg AI-readiness | 50 | 14 |