density
libvips
| density | libvips | |
|---|---|---|
| 3 | 23 | |
| 983 | 9,005 | |
| - | 0.9% | |
| 0.0 | 9.2 | |
| about 3 years ago | 8 days ago | |
| C | C | |
| BSD 3-clause "New" or "Revised" 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.
density
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Need help in C++/CLI wrapper for C#
For the simplicity I've removed the comments. Source: https://github.com/k0dai/density/blob/master/src/density_api.h
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C Deep
DENSITY - Super-fast compression library. BSD-3-Clause
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LZ4, an Extremely Fast Compression Algorithm
Some interesting and related projects:
https://github.com/strigeus/ipzip - TCP/IP Packet Compressor with LZ4 support
https://github.com/centaurean/density - Extremely fast de/compression
libvips
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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
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My project: railstart app
libvips v8.6+ or ImageMagick for image analysis and transformations
What are some alternatives?
lz4_flex - Fastest pure Rust implementation of LZ4 compression/decompression.
OpenCV - Open Source Computer Vision Library
zstd - Zstandard - Fast real-time compression algorithm
imagick - Go binding to ImageMagick's MagickWand C API
7-Zip-zstd - 7-Zip with support for Brotli, Fast-LZMA2, Lizard, LZ4, LZ5 and Zstandard
sharp - High performance Node.js image processing, the fastest module to resize JPEG, PNG, WebP, AVIF and TIFF images. Uses the libvips library.
LZ4 - Extremely Fast Compression algorithm
GD - GD Graphics Library
GLFW - A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input
tesseract-ocr - Tesseract Open Source OCR Engine (main repository)
squashfs-tools-ng - A new set of tools and libraries for working with SquashFS images
FreeImage - A custom distribution of FreeImage, with a CMake-based build system. Used by the Athena Game Framework.