Gainsight vs Recurly
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Gainsight and Recurly both appear on the Smoower Developer Ecosystem Index.
Recurly (rank #317) holds a narrow lead over Gainsight (rank #536) on the overall Smoower ecosystem score (44 vs 36). The gap of 8 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), Recurly is clearly ahead of Gainsight. On education (docs, guides and learning material for developers), Recurly is ahead of Gainsight. On community (issue response, PR reviews and discussion health), Gainsight is slightly ahead of Recurly. On reach (how visible the ecosystem is beyond its own repos), Gainsight is clearly ahead of Recurly. On momentum (release cadence and how fast the ecosystem moves), Recurly is ahead of Gainsight.
Gainsight carries 5 GitHub stars across 6 public repos, with 3 repositories active in the last 90 days and 3 external contributors on record. Recurly shows 1,564 stars across 53 public repos, 26 active in the last 90 days and 5 external contributors. The star gap on its own does not decide the comparison, but Recurly's footprint is roughly 312.8x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
Gainsight is the stronger read for anyone weighting reach. Recurly looks better where code quality 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 | Gainsight | Recurly |
|---|---|---|
| Ranking | ||
| Overall rank | #536 | #317 |
| Pillars | ||
| Overall | 36 | 44 |
| Code | 25 | 68 |
| Education | 42 | 57 |
| Community | 41 | 34 |
| Reach | 28 | 7 |
| Momentum | 52 | 64 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 5 | 1,564 |
| Forks | 10 | 700 |
| Public repos | 6 | 53 |
| Active repos (90d) | 3 | 26 |
| External contributors | 3 | 5 |
| Avg polish | 28 | 70 |
| Avg AI-readiness | 20 | 37 |