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MercadoLibre vs VTEX
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
MercadoLibre and VTEX (The Enterprise Digital Commerce Platform ⚠️ To invite someone to this Github Org. Follow: https://vai.vtex.com/access-request) both appear on the Smoower Developer Ecosystem Index.
VTEX (rank #152) holds a meaningful lead over MercadoLibre (rank #693) on the overall Smoower ecosystem score (52 vs 31). The gap of 21 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), VTEX is clearly ahead of MercadoLibre. On education (docs, guides and learning material for developers), VTEX is slightly ahead of MercadoLibre. On community (issue response, PR reviews and discussion health), VTEX is ahead of MercadoLibre. On reach (how visible the ecosystem is beyond its own repos), MercadoLibre is clearly ahead of VTEX. On momentum (release cadence and how fast the ecosystem moves), VTEX is clearly ahead of MercadoLibre.
MercadoLibre carries 1,621 GitHub stars across 101 public repos, with 1 repositories active in the last 90 days and 0 external contributors on record. VTEX shows 1,617 stars across 266 public repos, 47 active in the last 90 days and 51 external contributors.
MercadoLibre is the stronger read for anyone weighting reach. VTEX 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 | MercadoLibre | VTEX |
|---|---|---|
| Ranking | ||
| Overall rank | #693 | #152 |
| Pillars | ||
| Overall | 31 | 52 |
| Code | 40 | 71 |
| Education | 69 | 77 |
| Community | 27 | 41 |
| Reach | 46 | 21 |
| Momentum | 2 | 46 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 1,621 | 1,617 |
| Forks | 1,102 | 731 |
| Public repos | 101 | 266 |
| Active repos (90d) | 1 | 47 |
| External contributors | 0 | 51 |
| Avg polish | 37 | 67 |
| Avg AI-readiness | 34 | 54 |