photon
libvips
photon | libvips | |
---|---|---|
6 | 23 | |
2,491 | 9,005 | |
- | 0.9% | |
7.0 | 9.2 | |
about 17 hours ago | 7 days ago | |
Rust | 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.
photon
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Show HN: OS Image processing API running on edge functions using Rust and WASM
Image processing/transformations with built-in CDNs is one of the more common solutions you would find out there but can get pretty expensive and locked in over time.
Vercel is a good example that provides a built-in “next/image” solution for the NextJS framework that optimises images for better performance, however, it gets very expensive as you scale.
Alternatively, running your own service with one of the most common image processing libraries like SharpJS is great but can get pretty difficult to run in a serverless environment with CDNs and all the other bells and whistles alongside all your other code while the cold startup time of Sharp in a serverless environment can be pretty brutal.
With all the growth around rebuilding engines in Rust for performance gains, I thought there must be an image processing library written in Rust which could be compiled to WebAssembly (WASM) and run way faster. That’s when I discovered Photon https://github.com/silvia-odwyer/photon by Silvia, who has done amazing work with the library.
This eventually led me to discover https://github.com/fineshopdesign/cf-wasm/tree/main/packages... that has already transcribed the Photon package into a WASM binary for easy use in edge v8 environments like Cloudflare workers or NextJS Edge functions.
Using these packages I built an API layer on the NextJS framework allowing you to easily process local and remote images at blazing fast speeds with a bunch of helper functions making it similar to use as most paid Image processing APIs. If hosted on Vercel, you can make use of the built-in CDN cache for files less than 10 MB at no extra charge with Edge caching.
Some of the features:
- Blazing fast image processing
- Fully serverless, runs on Vercel Edge functions
- Resize, crop, compress, tint, rotate, format and more
- Global distribution with Edge functions
- Automated CDN cache with Edge functions
- Replacement for `next/image` processing on Vercel
- Local and remote image processing
Some problems:
- The Photon lib has last been updated in 2020
- There are still a few obvious bugs when using it for more advanced requirements like 8k image processing on edge function due to poor memory management in Rust
- No sexy features right now like AI image optimisation and selective background blurring
- If you are looking for an all-in-one solution with Image Storage + image processing/CDN, this is not it (something we will be releasing soon on JigsawStack.com)
I think the Photon library and the API have a lot more potential for growth and will be hoping for more contributions from the community as Rust gets more popular!
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Building an online image compressor
My first implementation was based on photon_rs, a Rust based web assembly library for image processing. It worked pretty well, but it was slower than OP website. Without digging much it seems logical since photon isn’t optimized for performance.
- Rust/WebAssembly image processing library
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Image Compression Library
What you describe reminded me of photon. Check out the website. If there isn't an overlap of functionality then you can definitely integrate it into your own site.
- Off my chest: When are some of you browser devs gonna give us native image scaling? This is the best we got ATM.
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Monitoring UX in Single Page Applications
For the image, you are able to either use your webcam to take a photo, or upload a photo of your own before moving onto the filters. Image filtering is included in most image manipulation libraries. I had used ImageMagick before, but had a terrible time with it. I wanted to find a better way to do Instagram-like filtering. I came across Photon, a high performance image processing library written in Rust and can be compiled to WebAssembly, and there was already a React demo so it was easy to integrate. Once you choose the filter you want, you move onto the decoration stage.
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?
image - Encoding and decoding images in Rust
OpenCV - Open Source Computer Vision Library
InputBot - Rust library for creating global hotkeys, and simulating inputs
imagick - Go binding to ImageMagick's MagickWand C API
Kubewarden - Kubewarden is a policy engine for Kubernetes. It helps with keeping your Kubernetes clusters secure and compliant. Kubewarden policies can be written using regular programming languages or Domain Specific Languages (DSL) sugh as Rego. Policies are compiled into WebAssembly modules that are then distributed using traditional container registries.
sharp - High performance Node.js image processing, the fastest module to resize JPEG, PNG, WebP, AVIF and TIFF images. Uses the libvips library.
Quicksilver - Quicksilver Project Source
GD - GD Graphics Library
jpegoptim - jpegoptim - utility to optimize/compress JPEG files
tesseract-ocr - Tesseract Open Source OCR Engine (main repository)
menyoki - Screen{shot,cast} and perform ImageOps on the command line 🌱 🏞️
FreeImage - A custom distribution of FreeImage, with a CMake-based build system. Used by the Athena Game Framework.