31 July 2019 Fast and secure standalone server for resizing and converting remote images imgproxy is a fast and secure standalone server for resizing and converting remote images. The main principles of imgproxy are simplicity, speed, and security.
31 July 2019 A system independent tool for real-time image manipulation with Voronoi This project implements a small, lightweight tool for real-time image manipulation with Voronoi/Delaunay data structures.
09 July 2019 Container Image Linter for Security Container Image Linter for Security, Helping build the Best-Practice Docker Image, Easy to start.
28 March 2019 Simple image glitcher suitable for producing nice looking lockscreens Simple image glitcher suitable for producing nice looking i3lock backgrounds.
24 February 2019 Go tool for LSB steganography capable of hiding any file within an image stegify is a simple command line tool capable of fully transparent hiding any file within an image. This technique is known as LSB (Least Significant Bit) steganography.
25 October 2018 Pure Go Library for LSB steganography Steganography is a library written in Pure go to allow simple LSB steganography on images.
21 October 2018 Personal photo management powered by Go and Google TensorFlow PhotoPrism is a server-based application for browsing, organizing and sharing your personal photo collection.
21 October 2018 A docker container with REST API will convert a GIF image to WebP gif2webp-docker - a docker container with REST API, will convert a GIF image to WebP.
21 October 2018 Package of image processing filters Package gift provides a set of useful image processing filters.
21 October 2018 A library for rendering 2D graphics in pure Go Go Graphics - 2D rendering in Go with a simple API.
21 October 2018 Create beautiful generative image patterns from a string in golang Create beautiful generative image patterns from a string in golang.
21 October 2018 A collection of parallel image processing algorithms in pure Go The aim of this project is simplicity in use and development over high performance, but most algorithms are designed to be efficient and make use of parallelism when available.