govips
A lightning fast image processing and resizing library for Go (by davidbyttow)
imaging
Imaging is a simple image processing package for Go (by disintegration)
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The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
govips
Posts with mentions or reviews of govips.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-06-28.
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Just In Time Image Optimization at Reddit Scale
We chose to use govips which is a cgo wrapper around the libvips image manipulation library. The majority of new development for services in our backend is written using baseplate.go. But Go is not an ideal choice for media processing as it cannot keep up with the performance of native code. The most widely used image-processing libraries like libmagick are primarily written in C or C++. Speed was a major factor in selecting libvips in order to keep latency low on CDN cache misses for images. In our tests, libvips was 3–4 times faster than libmagick on basic image processing operations. Content-aware smart cropping was implemented by porting smartcrop.js to Go. This is the only operation implemented in pure Go.
- Image manipulation with Go
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Open source projects for beginner
Hi! You are willing to dive into some cgo we have a couple of feature requests :) https://github.com/davidbyttow/govips
- Show HN: Govips 2.0, lightning fast image processing for Go
imaging
Posts with mentions or reviews of imaging.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-02-10.
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Seeking advice on monetizing an open-source Golang-based video transcoding project developed during university
There are a number of projects using manipulation libraries like https://github.com/disintegration/imaging which is already MIT licensed, and then there are various transcoders which I am unfamiliar with, but you will want to consider if you add enough value to make use of those unimportant to the decision to pay.
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io.Pipe vs bytes.Buffer
Sorry for not putting this code in my post. The input isn't from an *os.File, but rather from HTTP request captured by gin and it's on MultipartForm.File. The reason being why I had to do all these shenanigans is because I have to preprocess the image using this module: https://github.com/disintegration/imaging
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Tran - 🖥 Securely transfer and send anything between computers with TUI.
Imaging
- Image manipulation with Go
- Image filters / image editing
What are some alternatives?
When comparing govips and imaging you can also consider the following projects:
bimg - Go package for fast high-level image processing powered by libvips C library
imaginary - Fast, simple, scalable, Docker-ready HTTP microservice for high-level image processing
resize - Pure golang image resizing
gocv - Go package for computer vision using OpenCV 4 and beyond. Includes support for DNN, CUDA, and OpenCV Contrib.
gg - Go Graphics - 2D rendering in Go with a simple API.
fastimage - Finds the type and/or size of a remote image given its uri, by fetching as little as needed.
lilliput - Resize images and animated GIFs in Go
Primitive Pictures - Reproducing images with geometric primitives.
imagick - Go binding to ImageMagick's MagickWand C API
bild - Image processing algorithms in pure Go