The two most-starred repos in the charts: 562k ★ vs 535k ★.
RepoClash › Computer Vision rivals
RepoClash · the open-source arena
opencv vs mediapipe
Computer Vision rivals. Both tagged computer-vision, c-plus-plus. Six rounds of real GitHub data, an AI referee, and the crowd picks a side.

opencv/opencv: 91,531 stars, C++. Open Source Computer Vision Library
google-ai-edge/mediapipe: 37,644 stars, C++. Cross-platform, customizable ML solutions for live and streaming media.
opencv vs mediapipe: tale of the tape
GitHub data as of November 11, 2026opencv has 2.4 times as many GitHub stars as mediapipe (91,531 vs 37,644). In the last 6 days, mediapipe gained more stars: +81 (+0.2%) against +66 (+0.1%) for opencv. opencv saw more development in the last 52 weeks with 1,945 commits, against 845 for mediapipe. opencv is the older project (created July 2012), mediapipe started in June 2019. Both are written mainly in C++.
| opencv/opencv | google-ai-edge/mediapipe | |
|---|---|---|
| Stars | 91,531 | 37,644 |
| Stars gained, last 6 days | +66 | +81 |
| Growth, last 6 days | +0.1% | +0.2% |
| Avg. stars per day since creation | 18 | 14 |
| Forks | 57,110 | 6,224 |
| Commits, last 52 weeks | 1,945 | 845 |
| Open issues | 2,915 | 270 |
| Best Repocharts rank today | #7 in C++ | #35 in C++ |
| Language | C++ | C++ |
| License | Apache-2.0 | Apache-2.0 |
| Created | Jul 19, 2012 | Jun 13, 2019 |
| Last push | Nov 11, 2026 | Nov 11, 2026 |
Quick answers
Which is more popular, opencv or mediapipe?
opencv has 2.4 times as many GitHub stars as mediapipe (91,531 vs 37,644) (Repocharts data as of November 11, 2026).
Which is growing faster, opencv or mediapipe?
In the last 6 days, mediapipe gained more stars: +81 (+0.2%) against +66 (+0.1%) for opencv.
Which is more actively developed?
opencv saw more development in the last 52 weeks with 1,945 commits, against 845 for mediapipe.
What languages are opencv and mediapipe written in?
Both are written mainly in C++.
How does RepoClash compare opencv and mediapipe?
RepoClash scores both repositories in six rounds (popularity, momentum, activity, community, maintenance and freshness) from public GitHub data, adds an AI referee's verdict and lets developers vote for their favorite. Star counts are updated daily.