Stripe vs Stripe Samples
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Stripe and Stripe Samples (Sample integrations built by Stripe.) both appear on the Smoower Developer Ecosystem Index.
Stripe (rank #1) holds a meaningful lead over Stripe Samples (rank #141) on the overall Smoower ecosystem score (76 vs 53). The gap of 23 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), Stripe is ahead of Stripe Samples. On community (issue response, PR reviews and discussion health), Stripe is ahead of Stripe Samples. On reach (how visible the ecosystem is beyond its own repos), Stripe is clearly ahead of Stripe Samples. On momentum (release cadence and how fast the ecosystem moves), Stripe is clearly ahead of Stripe Samples.
Stripe carries 44,536 GitHub stars across 97 public repos, with 64 repositories active in the last 90 days and 120 external contributors on record. Stripe Samples shows 4,227 stars across 30 public repos, 23 active in the last 90 days and 8 external contributors. The star gap on its own does not decide the comparison, but Stripe's footprint is roughly 10.5x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
Stripe is the stronger read for anyone weighting reach. Stripe Samples makes more sense for teams already using its adjacent tools. 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 | Stripe | Stripe Samples |
|---|---|---|
| Ranking | ||
| Overall rank | #1 | #141 |
| Pillars | ||
| Overall | 76 | 53 |
| Code | 80 | 66 |
| Education | 85 | 85 |
| Community | 60 | 47 |
| Reach | 40 | 8 |
| Momentum | 78 | 52 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 44,536 | 4,227 |
| Forks | 11,571 | 2,301 |
| Public repos | 97 | 30 |
| Active repos (90d) | 64 | 23 |
| External contributors | 120 | 8 |
| Avg polish | 87 | 76 |
| Avg AI-readiness | 61 | 34 |