activestorage-aliyun
libvips
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| activestorage-aliyun | libvips | |
|---|---|---|
| 2 | 23 | |
| 130 | 8,980 | |
| - | 1.7% | |
| 4.0 | 9.2 | |
| 5 months ago | 6 days ago | |
| Ruby | 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.
activestorage-aliyun
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My project: railstart app
aliyun, qiniu, tencent cloud storage
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railstart-niceadmin support more features
- Support [aliyun](https://github.com/huacnlee/activestorage-aliyun), [qiniu](https://rubygems.org/gems/activestorage_qiniu) cloud storage
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?
Sidekiq - Simple, efficient background processing for Ruby
OpenCV - Open Source Computer Vision Library
groupdate - The simplest way to group temporal data
imagick - Go binding to ImageMagick's MagickWand C API
TinyMCE - The world's #1 JavaScript library for rich text editing. Available for React, Vue and Angular
sharp - High performance Node.js image processing, the fastest module to resize JPEG, PNG, WebP, AVIF and TIFF images. Uses the libvips library.
turbo - The speed of a single-page web application without having to write any JavaScript
GD - GD Graphics Library
Ruby on Rails - Ruby on Rails
tesseract-ocr - Tesseract Open Source OCR Engine (main repository)
turbo - Incremental bundler and build system optimized for JavaScript and TypeScript, written in Rust – including Turbopack and Turborepo.
FreeImage - A custom distribution of FreeImage, with a CMake-based build system. Used by the Athena Game Framework.