sharp
libvips
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sharp | libvips | |
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96 | 23 | |
27,769 | 8,909 | |
- | 1.9% | |
9.4 | 9.2 | |
5 days ago | 8 days ago | |
JavaScript | C | |
Apache License 2.0 | 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.
sharp
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Organize the mess of your photo folders with Node
sharp
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Creating Chess Board SVGs, PNGs, and GIFs
For simplicity, I will be generating PNGs with JavaScript/Node and the Sharp image library. Any library that can convert between pixel arrays and image files will make the process quite straightforward.
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My Journey to Accelerate Load Times in Heavy Frontend
There is also a library that Next.js itself uses: sharp. It can be setup as Node.js service. I even played around a little: image-proxy-service
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Automated Image Compression: A Vite Plugin Using Sharp
Sharp Documentation: Link
- Using SVG to create simple sparkline charts
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JavaScript Gom Jabbar
ESLint does an amazing job in detecting floating promises. I've not had it miss one, ever. When adding this to a project, I've discovered multiple accidental bugs due to a missing "await" keyword--bugs that were extremely subtle and intermittent in many cases.
The only thing it can't do is determine that you actually did handle the promise later. Which is fine. It's a LINTING RULE, and false positives are the name of the game.
What's BAD is when you accidentally miss handling a promise at all. It's an invisible error without the linting rule.
Your other comments...don't even make sense. You're going to build a Lanczos filter by hand? Or you're only going to ... compile ImageMagick to WebAssembly?!, ... an implementation which is tremendously slower (nearly unusably so for large images) than that of Sharp:
https://www.npmjs.com/package/sharp
... which is simply an import away?
No, what you're doing is called "motivated reasoning." You've concluded that Deno is the best, and you're reinterpreting all of my complaints in convoluted ways to support your predetermined conclusion.
Standard fanboy behavior. Or troll behavior. I cite Poe's Law as why it's impossible to tell the difference.
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How to create YOLOv8-based object detection web service using Python, Julia, Node.js, JavaScript, Go and Rust
sharp - An image processing library
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Automatic Responsive Image Generation with an Astro Hook
To actually edit the images, we are going to use sharp. Sharp is a high-performance image processing library. You can do all the cool things we want to do with it. Install the library then import it with import sharp from 'sharp'.
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10 Powerful Node.js Libraries Every Developer Should Know About
2. sharp
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Pixel art usermod
I've run this on a few SBCs (single board computers). A Raspberry Pi Zero 2W is adequate for the job. The demo is running on a OrangePi Lite2, which is nominally more powerful, but not as well supported, software-wise. Compiling the image procesing software (sharp) under Ambian was pretty hit and miss, whereas on Raspbian it is plug and play.
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?
jimp - An image processing library written entirely in JavaScript for Node, with zero external or native dependencies.
squoosh - Make images smaller using best-in-class codecs, right in the browser.
OpenCV - Open Source Computer Vision Library
gm - GraphicsMagick for node
imagick - Go binding to ImageMagick's MagickWand C API
Next.js - The React Framework
pica - Resize image in browser with high quality and high speed
sveltekit-image-plugin - SvelteKit demo code for using vite-imagetools to add cached, responsive, Next-Gen images to a SvelteKit site with no cumulative layout shift.
imagemin - [Unmaintained] Minify images seamlessly
sharp-libvips - Packaging scripts to prebuild libvips and its dependencies - you're probably looking for https://github.com/lovell/sharp
lwip - Light Weight Image Processor for NodeJS
GD - GD Graphics Library