gd
libvips
gd | libvips | |
---|---|---|
1 | 24 | |
124 | 9,029 | |
82.5% | 1.1% | |
9.1 | 9.2 | |
about 17 hours ago | 4 days ago | |
Go | C | |
MIT License | GNU Lesser General Public License v3.0 only |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
gd
libvips
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Ask HN: How to handle user file uploads?
Read through the comments and was surprised no one mentioned libvips - https://github.com/libvips/libvips. At my current small company we were trying to allow image uploads and started with imagemagick but certain images took too long to process and we were looking for faster alternatives. It's a great tool with minimum overhead. For video thumbnails, we use ffmpeg which is really heavy. We off-load video thumbnail generation to a queue. We've had great luck with these tools.
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Building an online image compressor
After some research, I found libvips, a demand-driven, horizontally threaded image processing library. It is designed to run quickly while using as little as memory as possible.
- Libvips: A fast image processing library with low memory needs
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Things you might not know about Next Image
Sharp is a fast and efficient image optimization Node.js module that makes use of the native libvips library.
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Go Image Converting
h2non/bimg can handle both if the underlying libvips is compiled with support for both formats.
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.Webp is the bane of my existence
if you're using linux (which it doesn't seem so) there's also vispdisp https://github.com/jcupitt/vipsdisp which is based on https://github.com/libvips/libvips which will likely take over how images are decoded in the future for everything, at least methodology wise.
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How are responsive image sets are generated, stored, and managed server-side?
The magic happens by way of a library called Libvips, which contains an ultra-high-speed low-memory image resizer.
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imagor v1 - a fast, Docker-ready image processing server in Go, libvips and more
imagor uses one of the most efficient image processing library libvips. It is typically 4-8x faster than using the quickest ImageMagick and GraphicsMagick settings.
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[OSError] Cannot find pyvips library (DLLs)
Try the solutions here: https://github.com/libvips/libvips/issues/2479
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Image library for fast read of huge Tif files?
in that case maybe take a look at https://github.com/libvips/libvips
What are some alternatives?
godot-go - Go bindings for Godot 4.2 GDExtension API
OpenCV - Open Source Computer Vision Library
Nim - Nim is a statically typed compiled systems programming language. It combines successful concepts from mature languages like Python, Ada and Modula. Its design focuses on efficiency, expressiveness, and elegance (in that order of priority).
imagick - Go binding to ImageMagick's MagickWand C API
gdnative - Rust bindings for Godot 3
sharp - High performance Node.js image processing, the fastest module to resize JPEG, PNG, WebP, AVIF and TIFF images. Uses the libvips library.
arewegameyet - The repository for https://arewegameyet.rs
GD - GD Graphics Library
gdextension-nim - Godot 4.0 GDExtension binding for nim language.
tesseract-ocr - Tesseract Open Source OCR Engine (main repository)
FreeImage - A custom distribution of FreeImage, with a CMake-based build system. Used by the Athena Game Framework.
CImg - The CImg Library is a small and open-source C++ toolkit for image processing