Cybersource vs Metabase
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Cybersource and Metabase both appear on the Smoower Developer Ecosystem Index.
Metabase (rank #165) holds a modest lead over Cybersource (rank #536) on the overall Smoower ecosystem score (51 vs 36). The gap of 15 points reflects composite signals across code, docs, community and reach.
On education (docs, guides and learning material for developers), Metabase is ahead of Cybersource. On community (issue response, PR reviews and discussion health), Metabase is slightly ahead of Cybersource. On reach (how visible the ecosystem is beyond its own repos), Metabase is slightly ahead of Cybersource. On momentum (release cadence and how fast the ecosystem moves), Metabase is clearly ahead of Cybersource.
Cybersource carries 587 GitHub stars across 40 public repos, with 28 repositories active in the last 90 days and 7 external contributors on record. Metabase shows 50,225 stars across 100 public repos, 21 active in the last 90 days and 49 external contributors. The star gap on its own does not decide the comparison, but Metabase's footprint is roughly 85.6x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
Cybersource is worth a look for teams already invested in its stack. Metabase looks better where momentum 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 | Cybersource | Metabase |
|---|---|---|
| Ranking | ||
| Overall rank | #536 | #165 |
| Pillars | ||
| Overall | 36 | 51 |
| Code | 49 | 49 |
| Education | 64 | 80 |
| Community | 31 | 39 |
| Reach | 36 | 41 |
| Momentum | 37 | 61 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 587 | 50,225 |
| Forks | 986 | 7,167 |
| Public repos | 40 | 100 |
| Active repos (90d) | 28 | 21 |
| External contributors | 7 | 49 |
| Avg polish | 48 | 50 |
| Avg AI-readiness | 43 | 30 |