inspirit/jsfeat

Health v2 · maintenance only

Adoption not part of the score

2772 stars · 374 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

JSFEAT is a JavaScript computer vision library implementing classic CV algorithms in pure JS for browser use. It includes image processing filters, feature detection/description, optical flow, object detection, and linear algebra utilities.

Use cases

• detect faces in the browser with haar cascades
• track points in a webcam video with lucas-kanade optical flow
• detect corners and compute orb descriptors in javascript
• apply canny edge detection or sobel filters to canvas images
• estimate homography between images with ransac
• do matrix math and svd in the browser

When to choose

• you need lightweight, dependency-free computer vision running client-side in JavaScript
• you want classic CV algorithms (FAST, ORB, LK optical flow, HAAR) without native builds or WebAssembly
• you are prototyping HTML5 canvas or webcam vision demos

When to avoid

• you need GPU-accelerated or deep-learning-based vision (use OpenCV.js, TensorFlow.js, or ONNX runtime)
• you need actively maintained code with recent fixes and modern tooling
• you need high-performance processing of large video streams

Facets

library · maturity maintenance

computer-vision image-processing machine-learning computer-vision image-processing web-development browser optical-flow feature-detection haar-cascade orb linear-algebra html5-canvas nodejs javascript

Member repositories

For agents

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