pixpark/gpupixel
Some data may be outdated — see provenance labels.
Real-time image filter engine based on GPU observed · 2026-09-26
Health v2 · maintenance only
84/100
- Activity 96
- Release rhythm 60
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.
- gap_med: 18
- age_days: 1575
- days_rel: 270
- days_push: 25
- n_releases_24m: 8
Adoption not part of the score
2430 stars · 351 forks observed · 2026-09-26
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
GPUPixel is a high-performance, cross-platform real-time image and video filter library written in C++11 and built on OpenGL/ES. It provides built-in beauty filters (whitening, smoothing, face thinning) with face landmark detection and supports chaining filters for complex effects on iOS, Android, Mac, Windows, and Linux.
Use cases
- apply real-time beauty filters to live video streams
- smooth skin and whiten face in a camera app
- add face thinning effects to a WebRTC video call
- process YUV video frames with GPU filters
- build a live streaming app with face beautification
- chain multiple image filters for real-time video effects
When to choose
- you need real-time GPU-accelerated image or video filtering on mobile or desktop
- you want built-in beauty effects like smoothing, whitening, and face reshaping
- you need a lightweight C++ library compatible with any OpenGL/ES platform
- you are building live streaming or video calling apps with beautification
When to avoid
- you need offline batch image editing rather than real-time processing
- your platform lacks OpenGL/ES support
- you need general-purpose image editing features beyond filters and face effects
- you prefer a high-level SDK with managed services over a C++ library
Facets
library · maturity active
image-processing computer-vision video-processing graphics image-processing computer-vision cross-platform mobile-development windows cpp beauty-filter face-landmarks gpu-accelerated opengl-es live-streaming webrtc face-thinning skin-smoothing video ios android macos linux gpu
3 sources
- readme: https://github.com/pixpark/gpupixel · fetched 2026-09-26 · 32377b2d1d25
- homepage: https://gpupixel.pixpark.net/ · fetched 2026-08-29 · 8ee1177bfd55
- site_page: https://gpupixel.pixpark.net/about/contact · fetched 2026-08-29 · 29137217329d
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| pixpark/gpupixel | main | 84 |
For agents
markdown · JSON · MCP: product_card(name="pixpark/gpupixel")
Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem