CLUSTER GPU-IMAGE-ACCELERATED · 6 ENTRIES · EARLIEST ENTRY 2025-10-02

GPU-accelerated image editing tools

This cluster consists of desktop applications for GPU-accelerated image editing, including viewers, RAW editors, and raster editors, often with non-destructive editing and support for layers, masks, and HDR. The cluster's dated history is too thin to read a shape from, as only 4 dated entries exist before the index start, so it predates the index or its members are undated. On traction, eagle-viewer leads with 2 stars, while rapidraw and RapidRAW have 0 stars.

Entry timeline

ENTRY TIMELINE

OCT 2025: 1APR 2026: 1JUL 2026: 1AUG 2026: 3
OCT 2025AUG 2026

Members by activity

Activity signals, not revenue.

Build origin · 1 ai-built · 1 hand-coded · 4 unlabelled

Operator · 1 indie · 1 enterprise · 4 open source

Two labels per entry, never collapsed into one: how it was built, and who stands behind it. Counted over the 6 listed below. Unlabelled means nothing has decided yet — not that the answer is small.

  1. 01RapidRAW0★1 moliveai-builtopen sourceDesktop application that provides non-destructive, GPU-accelerated editing of RAW photographs as a lightweight alternative to commercial photo editing software.
  2. 02rapidraw0★1 moliveopen sourceGPU-accelerated RAW image editor for processing high-quality photographs with fast performance.
  3. 03arte-ogre0★2 moliveopen sourceDesktop image editor that performs GPU-accelerated, non-destructive edits on photos and digital artwork for designers and photographers.
  4. 04paintfe0★3 moliveopen sourceRaster image editor that uses GPU acceleration for painting and editing digital images.
  5. 05Pencilsheep0★unknownliveindieGPU-accelerated desktop image editor supporting layers, masks, filters, HDR images, and graphics tablets for professional-style photo and image editing.
  6. 06openvino-ai-plugins-gimp0★unknownlivehand-codedenterpriseDesktop plugin that adds AI image generation, upscaling, and segmentation tools to an image editor, running locally on CPU, NPU, or GPU hardware.