ULIS
libvips
| ULIS | libvips | |
|---|---|---|
| - | 24 | |
| 34 | 9,029 | |
| - | 1.1% | |
| 6.7 | 9.2 | |
| over 1 year ago | 2 days ago | |
| C++ | C | |
| GNU General Public License v3.0 or later | GNU Lesser General Public License v3.0 only |
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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.
ULIS
We haven't tracked posts mentioning ULIS yet.
Tracking mentions began in Dec 2020.
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?
OpenCV - Open Source Computer Vision Library
SVG++ - C++ SVG library
imagick - Go binding to ImageMagick's MagickWand C API
OpenEXR - The OpenEXR project provides the specification and reference implementation of the EXR file format, the professional-grade image storage format of the motion picture industry.
sharp - High performance Node.js image processing, the fastest module to resize JPEG, PNG, WebP, AVIF and TIFF images. Uses the libvips library.
OpenImageIO - Reading, writing, and processing images in a wide variety of file formats, using a format-agnostic API, aimed at VFX applications.
GD - GD Graphics Library
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.