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JavaScript image gallery for mobile and desktop, modular, framework independent
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Jun 6, 2022 - JavaScript
A lightweight, pure-Swift library for downloading and caching images from the web.
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Jul 5, 2022 - Swift
PHP Image Manipulation
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Jul 8, 2022 - PHP
The friendly PIL fork (Python Imaging Library)
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Jul 8, 2022 - Python
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Jul 7, 2022 - TypeScript
Fast and secure standalone server for resizing and converting remote images
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Jul 5, 2022 - Go
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Jun 26, 2022 - JavaScript
Command-line program to download image galleries and collections from several image hosting sites
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Jul 8, 2022 - Python
JavaScript, SCSS, Sass, Less, and Stylus helpers for rendering high-resolution image variants
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Mar 14, 2020 - CSS
Fast, simple, scalable, Docker-ready HTTP microservice for high-level image processing
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Jun 17, 2022 - Go
A view controller for iOS that allows users to crop portions of UIImage objects
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Jun 27, 2022 - Objective-C
Imaging is a simple image processing package for Go
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Dec 18, 2020 - Go
A thread safe, performant, feature rich image fetcher
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Jul 6, 2022 - C
Open Graph Image as a Service - generate cards for Twitter, Facebook, Slack, etc
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Jul 4, 2022 - TypeScript
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Apr 16, 2021 - JavaScript
Insane(ly slow but wicked good) PNG image optimization
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Jun 18, 2022 - Python
WinMerge is an Open Source differencing and merging tool for Windows. WinMerge can compare both folders and files, presenting differences in a visual text format that is easy to understand and handle.
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Jul 6, 2022 - C++
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Formed in 2009, the Archive Team (not to be confused with the archive.org Archive-It Team) is a rogue archivist collective dedicated to saving copies of rapidly dying or deleted websites for the sake of history and digital heritage. The group is 100% composed of volunteers and interested parties, and has expanded into a large amount of related projects for saving online and digital history.

SVG will very likely take a little longer to render than a base64-encoded raster image. And the Gaussian Blur applied to the simple SVG shapes created by Primitive is probably quite CPU intensive.
Let's run a series of performance tests, ideally on WPT, to compare LQIP raster image rendering performance vs. SQIP rendering performance and also compare CPU utilization.