lizard
libvips
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lizard | libvips | |
---|---|---|
4 | 23 | |
633 | 8,980 | |
- | 1.7% | |
0.0 | 9.2 | |
about 3 years ago | 5 days ago | |
C | C | |
GNU General Public License v3.0 or later | 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.
lizard
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ELI5 how archiving on computers work
Another fun trick is to compress less often used stuff in RAM memory, because decompressing something like LZ4 or Lizard is still potentially orders of magnitude faster than reading from disk.
- Lizard – efficient compression with fast decompression
- Lizard
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C Deep
Lizard - Formerly LZ5; an efficient compressor with fast decompression. Achieves compression ratios comparable with zip and zlib at decompression speeds of 1000MB/s and faster. BSD-2-Clause
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?
ZLib - A massively spiffy yet delicately unobtrusive compression library.
OpenCV - Open Source Computer Vision Library
python-zstandard - Python bindings to the Zstandard (zstd) compression library
imagick - Go binding to ImageMagick's MagickWand C API
libuv - Cross-platform asynchronous I/O
sharp - High performance Node.js image processing, the fastest module to resize JPEG, PNG, WebP, AVIF and TIFF images. Uses the libvips library.
lzbench - lzbench is an in-memory benchmark of open-source LZ77/LZSS/LZMA compressors
GD - GD Graphics Library
c-blosc - A blocking, shuffling and loss-less compression library that can be faster than `memcpy()`.
tesseract-ocr - Tesseract Open Source OCR Engine (main repository)
qemu
FreeImage - A custom distribution of FreeImage, with a CMake-based build system. Used by the Athena Game Framework.