uuid VS libvips

I use Google's UUID package a lot. But every time I refer to it in a new package, the language server picks up https://github.com/gofrs/uuid instead of https://github.com/google/uuid and then complains that the gofrs package isn't in go.mod. I assume because it's the first alphabetically (though this seems like a huge supply chain security loophole).

Just store one single UUID as a token in a client's cookie (use https://github.com/google/uuid for ex), and associate that to a user ID (or anything else relevant in your case), and an expiry date for example

Depends on your needs I think, I generally just use github.com/google/uuid like /u/wowsux mentioned it supports v1 through v5 of the UUID spec.

And we are also going to use google/uuid to generate random uuids.

If you are using "github.com/google/uuid", try the following codes

You can see the same naming dilemma in many Go library implementations, i.e., where a package is used to organize functions related to a single a type (https://github.com/google/uuid) vs organizing code of related functionality (https://github.com/golang/go/tree/master/src/math).

Type inference is not perfect yet (especially for functional options). Also not being able to add type parameters to methods is a bit annoying (can be worked around using package-level functions) but besides that generics fit quite nicely into the library. If type inference gets better then I think I can even remove the hard dependency on github.com/google/uuid and let users use custom types for ids.

Learn how to create UUIDs: https://github.com/google/uuid

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.

Sharp is a fast and efficient image optimization Node.js module that makes use of the native libvips library.

h2non/bimg can handle both if the underlying libvips is compiled with support for both formats.

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.

The magic happens by way of a library called Libvips, which contains an ultra-high-speed low-memory image resizer.

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.

Try the solutions here: https://github.com/libvips/libvips/issues/2479

in that case maybe take a look at https://github.com/libvips/libvips

libvips v8.6+ or ImageMagick for image analysis and transformations