railstart-niceadmin
libvips
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| railstart-niceadmin | libvips | |
|---|---|---|
| 8 | 23 | |
| 99 | 8,958 | |
| - | 1.4% | |
| 9.2 | 9.2 | |
| about 2 years ago | 4 days ago | |
| HTML | 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.
railstart-niceadmin
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My project: railstart app
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railstart-niceadmin support more features
Preview: https://start.rails365.net/admin
- railstart-niceadmin release now!Backend management system based on Bootstrap 5 and NiceAdmin and Rails 7
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.
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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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My project: railstart app
libvips v8.6+ or ImageMagick for image analysis and transformations
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railstart-niceadmin support more features
- [libvips](https://github.com/libvips/libvips)
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Fast, Docker-ready image processing server written in Go and libvips, with Thumbor URL syntax
That's very cool! Though performance will not be close -- your nice solution is based on libgd, which is typically 5x slower than libvips, and needs 10x more memory. At usual display sizes, libvips will generally deliver the resized image in under 50ms, and will handle large images (relatively) gracefully.
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Still true? How true?
https://github.com/libvips/libvips https://github.com/libvips/libvips/wiki/Why-is-libvips-quick interesting
What are some alternatives?
OpenCV - Open Source Computer Vision Library
imagick - Go binding to ImageMagick's MagickWand C API
sharp - High performance Node.js image processing, the fastest module to resize JPEG, PNG, WebP, AVIF and TIFF images. Uses the libvips library.
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.
CImg - The CImg Library is a small and open-source C++ toolkit for image processing
FFmpeg - Mirror of https://git.ffmpeg.org/ffmpeg.git
OpenImageIO - Reading, writing, and processing images in a wide variety of file formats, using a format-agnostic API, aimed at VFX applications.
CxImage
ITK - Insight Toolkit (ITK) -- Official Repository. ITK builds on a proven, spatially-oriented architecture for processing, segmentation, and registration of scientific images in two, three, or more dimensions.
VTK - Mirror of Visualization Toolkit repository