libsrt
libvips
libsrt | libvips | |
---|---|---|
1 | 24 | |
539 | 9,029 | |
- | 1.1% | |
0.0 | 9.2 | |
about 1 year ago | 4 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.
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?
ordered-map - C++ hash map and hash set which preserve the order of insertion
OpenCV - Open Source Computer Vision Library
MDAL - Mesh Data Abstraction Library
imagick - Go binding to ImageMagick's MagickWand C API
etl - Embedded Template Library
sharp - High performance Node.js image processing, the fastest module to resize JPEG, PNG, WebP, AVIF and TIFF images. Uses the libvips library.
Ygg - An intrusive C++17 implementation of a Red-Black-Tree, a Weight Balanced Tree, a Dynamic Segment Tree and much more!
GD - GD Graphics Library
graphMat - A matrix header-only library, uses graphs internally, helpful when your matrix is part of a simulation where it needs to grow many times (or auto expand)
tesseract-ocr - Tesseract Open Source OCR Engine (main repository)
OpenSSL - TLS/SSL and crypto library
FreeImage - A custom distribution of FreeImage, with a CMake-based build system. Used by the Athena Game Framework.