Online learning at https://edx.org, powered by the Open edX platform https://openedx.org
edX vs Revolut
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
edX (Online learning at https://edx.org, powered by the Open edX platform https://openedx.org) and Revolut (Revolut Open Source) both appear on the Smoower Developer Ecosystem Index.
edX (rank #338) holds a modest lead over Revolut (rank #693) on the overall Smoower ecosystem score (43 vs 31). The gap of 12 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), edX is ahead of Revolut. On education (docs, guides and learning material for developers), Revolut is ahead of edX. On community (issue response, PR reviews and discussion health), Revolut is slightly ahead of edX. On reach (how visible the ecosystem is beyond its own repos), Revolut is slightly ahead of edX. On momentum (release cadence and how fast the ecosystem moves), edX is clearly ahead of Revolut.
edX carries 392 GitHub stars across 250 public repos, with 52 repositories active in the last 90 days and 22 external contributors on record. Revolut shows 260 stars across 35 public repos, 5 active in the last 90 days and 1 external contributors.
edX is the stronger read for anyone weighting momentum. Revolut looks better where education 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 | edX | Revolut |
|---|---|---|
| Ranking | ||
| Overall rank | #338 | #693 |
| Pillars | ||
| Overall | 43 | 31 |
| Code | 58 | 40 |
| Education | 43 | 52 |
| Community | 22 | 26 |
| Reach | 33 | 40 |
| Momentum | 48 | 20 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 392 | 260 |
| Forks | 376 | 142 |
| Public repos | 250 | 35 |
| Active repos (90d) | 52 | 5 |
| External contributors | 22 | 1 |
| Avg polish | 58 | 38 |
| Avg AI-readiness | 37 | 29 |