Billing Platform for Subscription Businesses.
Chargebee vs Sumo Logic, Inc.
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Chargebee (Billing Platform for Subscription Businesses.) and Sumo Logic, Inc. both appear on the Smoower Developer Ecosystem Index.
Chargebee and Sumo Logic, Inc. sit at essentially the same overall ecosystem score (41), which is unusual and worth reading through the pillars below.
On code quality (the state of repositories, tests, releases and polish), Chargebee is slightly ahead of Sumo Logic, Inc.. On education (docs, guides and learning material for developers), Chargebee is slightly ahead of Sumo Logic, Inc.. On community (issue response, PR reviews and discussion health), Sumo Logic, Inc. is ahead of Chargebee. On reach (how visible the ecosystem is beyond its own repos), Sumo Logic, Inc. is slightly ahead of Chargebee. On momentum (release cadence and how fast the ecosystem moves), Chargebee is clearly ahead of Sumo Logic, Inc..
Chargebee carries 651 GitHub stars across 45 public repos, with 20 repositories active in the last 90 days and 1 external contributors on record. Sumo Logic, Inc. shows 1,842 stars across 107 public repos, 27 active in the last 90 days and 14 external contributors.
Chargebee is the stronger read for anyone weighting momentum. Sumo Logic, Inc. looks better where community 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 | Sumo Logic, Inc. |
|---|---|---|
| Ranking | ||
| Overall rank | #401 | #401 |
| Pillars | ||
| Overall | 41 | 41 |
| Code | 52 | 50 |
| Education | 52 | 47 |
| Community | 25 | 42 |
| Reach | 16 | 23 |
| Momentum | 61 | 37 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 651 | 1,842 |
| Forks | 582 | 1,655 |
| Public repos | 45 | 107 |
| Active repos (90d) | 20 | 27 |
| External contributors | 1 | 14 |
| Avg polish | 55 | 57 |
| Avg AI-readiness | 32 | 39 |