imgproxy is a fast and secure standalone server for resizing and converting remote images. The main principles of imgproxy are simplicity, speed, and security. imgproxy can be used to provide a fast and secure way to replace all the image resizing code of your web application (like calling ImageMagick or GraphicsMagick, or using libraries), while also being able to resize everything on the fly, fast and easy. imgproxy is also indispensable when handling lots of image resizing, especially when images come from a remote source.
https://github.com/DarthSim/imgproxyTags | image resize-images crop-image microservice docker jpeg png libvips |
Implementation | Go |
License | MIT |
Platform | Windows MacOS Linux |
Fast HTTP microservice written in Go for high-level image processing backed by bimg and libvips. imaginary can be used as private or public HTTP service for massive image processing with first-class support for Docker & Heroku. It's almost dependency-free and only uses net/http native package without additional abstractions for better performance.Supports multiple image operations exposed as a simple HTTP API, with additional optional features such as API token authorization, gzip compression, HTTP traffic throttle strategy and CORS support for web clients.
image image-processing resize-images libvips crop-image microservice docker watermark jpeg png webp gif go-libraryImage resizing, cropping and compression on the fly with the impressive MozJPEG compression algorithm. One Docker container to build your own Cloudinary-like service.You pass the image URL and a set of keys with options, like size or compression. Flyimg will fetch the image, convert it, store it, cache it and serve it. The next time the request comes, it will serve the cached version.
image image-processing resize-images crop-image docker jpeg png webp gif compression-algorithm flysystem microservice mozjpeg imagemagick compression crop face-detection image-api image-serviceAn S3-compatible image processing server written in Go. Still in active development.
image-processing storage docker jpeg png webp resize-images crop-image resize tranform libvips dockerfile s3 images microservice processing thumbnailsSmall Go package for fast high-level image processing using libvips via C bindings, providing a simple, elegant and fluent programmatic API.bimg was designed to be a small and efficient library supporting a common set of image operations such as crop, resize, rotate, zoom or watermark. It can read JPEG, PNG, WEBP natively, and optionally TIFF, PDF, GIF and SVG formats if libvips@8.3+ is compiled with proper library bindings.
libvips watermark crop-image image processing resize jpeg png webp crop image-processing go-libraryThe typical use case for this high speed Node.js module is to convert large images in common formats to smaller, web-friendly JPEG, PNG and WebP images of varying dimensions.Resizing an image is typically 4x-5x faster than using the quickest ImageMagick and GraphicsMagick settings.
webp image-processing jpeg png nodejs tiff svg libvips exif icc image performance crop resize overlay gif dzi thumbnail embed thumbnail-service api rest-apiImageMagick is a software suite to create, edit, and compose bitmap images. It can read, convert and write images in a variety of formats (over 100) including DPX, EXR, GIF, JPEG, JPEG-2000, PDF, PhotoCD, PNG, Postscript, SVG, and TIFF. Use ImageMagick to translate, flip, mirror, rotate, scale, shear and transform images, adjust image colors, apply various special effects, or draw text, lines, polygons, ellipses and Bézier curves.
image-processing image-identification librarylibvips is a demand-driven, horizontally threaded image processing library. Compared to similar libraries, libvips runs quickly and uses little memory. libvips is licensed under the LGPL 2.1+. It has around 300 operations covering arithmetic, histograms, convolution, morphological operations, frequency filtering, colour, resampling, statistics and others. It supports a large range of numeric formats, from 8-bit int to 128-bit complex. Images can have any number of bands. It supports a good range of image formats, including JPEG, TIFF, PNG, WebP, FITS, Matlab, OpenEXR, PDF, SVG, HDR, PPM, CSV, GIF, Analyze, NIfTI, DeepZoom, and OpenSlide. It can also load images via ImageMagick or GraphicsMagick, letting it load formats like DICOM.
libvips python-bindings jpeg openslide imagemagick tiff gif webp graphicsmagick openexrlilliput resizes images in Go. Lilliput relies on mature, high-performance C libraries to do most of the work of decompressing, resizing and compressing images. It aims to do as little memory allocation as possible and especially not to create garbage in Go. As a result, it is suitable for very high throughput image resizing services.
resize-images gif cgo images imageops image resized-images thumbnail image-resizer crop jpeg png webplibvips is a 2D image processing library. Compared to similar libraries, libvips runs quickly and uses little memory. libvips is licensed under the LGPL 2.1+. It has around 300 operations covering arithmetic, histograms, convolutions, morphological operations, frequency filtering, colour, resampling, statistics and others. It supports a large range of numeric formats, from 8-bit int to 128-bit complex. It supports a good range of image formats, including JPEG, TIFF, PNG, WebP, FITS, Matlab, OpenEXR, PDF, SVG, HDR, PPM, CSV, GIF, Analyze, DeepZoom, and OpenSlide. It can also load images via ImageMagick or GraphicsMagick.
libvips python-bindings jpeg openslide imagemagick tiff gif webp graphicsmagick openexrAn image processing library for Node written entirely in JavaScript, with zero native dependencies. It supports image manipulation methods like Blit an image, Blur an image, Various color manipulation methods, Resize, Scale and Rotate the image, Apply a dither effect to an image, Mask one image with another, Print text onto an image (watermark) and lot more.
image image-processing image-manipulation png jpg jpeg bmp resize scale cropThis package is powered by the blazingly fast libvips image processing library, originally created in 1989 at Birkbeck College and currently maintained by JohnCupitt. The typical use case for this high speed package is to convert large images of many formats to smaller, web-friendly JPEG, PNG images of varying dimensions.
vips jpeg imagemagick libvipsGraphicsMagick is the swiss army knife of image processing. It provides a robust and efficient collection of tools and libraries which support reading, writing, and manipulating an image in over 88 major formats including important formats like DPX, GIF, JPEG, JPEG-2000, PNG, PDF, PNM, and TIFF.
image-processing image-conversion image-identification libraryimgp is a command line image resizer and rotator for JPEG and PNG images. It can resize (or thumbnail) and rotate thousands of images in a go, at lightning speed, while saving significantly on storage. Powered by multiprocessing, an intelligent adaptive algorithm, recursive operations, shell completion scripts, EXIF preservation (and more), imgp is a very flexible utility with well-documented easy to use options.
image-processing image-compression image-manipulation image-optimization image-resize image-rotate multiprocessing standalone command-line terminalSkrop is a media service based on Skipper and the vips library. In order to be able to use Skrop, you have to be familiar with how Skipper works.
image image-processing image-resize libvips proxy-server microservice jpeg media-serviceIn iOS and Mac OS apps there is typically a choice of two image formats: PNG format allows transparency but produces large image files and is unsuited to compressing images like photographs; JPEG is great for creating small files and provides a range of compression qualities to suit the subject matter, but doesn't allow for transparency. JPNG is a new image format that combines the best of both of the other formats. JPNG is not really a format in its own right, it's a simple file wrapper that combines a JPEG and PNG image within the same file. JPEG is used to efficiently compress the RGB portion of the image and PNG is used to store the alpha channel.
This module provides comprehensive, fast, and simple image processing and manipulation capabilities.There are no external runtime dependencies, which means you don't have to install anything else on your system.
image buffer manipulate process resize scale rotate jpeg jpg png gif crop blur sharpen batch flip mirror border padding hue saturation lightness alpha transparency fade opacity contain coverimage-resizer is a Node.js application that sits as a custom origin to your CDN and will resize/optimise images on-the-fly. It is Heroku ready, but can also be deployed easily to any cloud provider (has been used with success on AWS). The primary goal for this project was to abstract the need to set image dimensions during the upload and storage phase of images in a modern web application.
image resize node sharp libvips heroku optimizationThis small script will allow you to resize & crop WordPress images uploaded via the media uploader on the fly. It relies on WP's native functions to resize the images, and checks if there is an already resized version of the image so that it won't be wasting your server's resources to regenerate the images. There are a couple of image resizing scripts out there that already have this function. Some authors simply use the add_image_size() function to define custom image sizes that will be generated for each image uploaded via the media uploader. I mostly find these methods somewhat a little complicated to use, or having some limitations or too resource intensive.
gulp-responsive depends on sharp. Sharp is one of the fastest Node.js modules for resizing JPEG, PNG, WebP and TIFF images. If you are using Mac OS then before installing gulp-responsive you should install the libvips library. Further information and instructions can be found in the sharp installation guide.
responsive-images responsive gulp sharp gulpplugin img images picture picturefill scrset image-set gulp-responsive gulp-responsive-imagesResizes images on the fly using Amazon S3, AWS Lambda, and Amazon API Gateway. Using a conventional URL structure and S3 static website hosting with redirection rules, requests for resized images are redirected to a Lambda function via API Gateway which will resize the image, upload it to S3, and redirect the requestor to the resized image. The next request for the resized image will be served from S3 directly.Use the Amazon Linux Docker container image to build the package using your local system. This repo includes Makefile that will download Amazon Linux, install Node.js and developer tools, and build the extensions using Docker. Run make all.
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