gg VS govips

The author explicitly says:

> You don't need to download any dependencies such as plantUML or Graphviz, which is what most of the tools out there require and what was also my motivation to start this project. go-uml is using a 2D graphics engine written 100% in Go https://github.com/fogleman/gg

So no, this is not a solution for these requirements.

I really like the [fogleman/gg](https://github.com/fogleman/gg) package for image manipulation, it is pure Go and has many functions to draw and manipulate images.

you can try something like: https://github.com/fogleman/gg to create such images from templates

I've always used the GG library for my image processing needs, and I've heard of libvips somewhere before (likely from the Node.js world) but didn't know it had a Go port/wrapper. :) I'll definitely check that out as well

what library are you using? I recommend this one.

Mainly, the standard library and my favorite gg.

Have you been hit by https://github.com/fogleman/gg/issues/85 when writing your book?

It does relatively little, and that's the point! It works really well when you combine it with other packages; I find it plays very well with fogleman/gg, but your objectives may differ. The dev is very responsive and helpful (even if I don't understand their tweets).

That piece of code makes all the magic. With the help of Fogleman library manipulating images in Go is a breeze. Let's check what this is doing:

The base image package doesn't have text rendering functions. It would probably be easier to use a higher level library like https://github.com/fogleman/gg

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.

Hi! You are willing to dive into some cgo we have a couple of feature requests :) https://github.com/davidbyttow/govips