Billing Platform for Subscription Businesses.
Chargebee vs Getty Images
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Chargebee (Billing Platform for Subscription Businesses.) and Getty Images both appear on the Smoower Developer Ecosystem Index.
Chargebee (rank #401) holds a modest lead over Getty Images (rank #693) on the overall Smoower ecosystem score (41 vs 31). 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), Chargebee is slightly ahead of Getty Images. On education (docs, guides and learning material for developers), Getty Images is ahead of Chargebee. On community (issue response, PR reviews and discussion health), Chargebee is slightly ahead of Getty Images. On reach (how visible the ecosystem is beyond its own repos), Getty Images is ahead of Chargebee. On momentum (release cadence and how fast the ecosystem moves), Chargebee is clearly ahead of Getty Images.
Chargebee carries 651 GitHub stars across 45 public repos, with 20 repositories active in the last 90 days and 1 external contributors on record. Getty Images shows 951 stars across 32 public repos, 5 active in the last 90 days and 2 external contributors.
Chargebee is the stronger read for anyone weighting momentum. Getty Images 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 | Chargebee | Getty Images |
|---|---|---|
| Ranking | ||
| Overall rank | #401 | #693 |
| Pillars | ||
| Overall | 41 | 31 |
| Code | 52 | 46 |
| Education | 52 | 61 |
| Community | 25 | 20 |
| Reach | 16 | 28 |
| Momentum | 61 | 15 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 651 | 951 |
| Forks | 582 | 497 |
| Public repos | 45 | 32 |
| Active repos (90d) | 20 | 5 |
| External contributors | 1 | 2 |
| Avg polish | 55 | 50 |
| Avg AI-readiness | 32 | 22 |