NimForUE VS diffuzzy

Glad to see that the windows executables are working again.

I had tried a little while ago to test things out on my windows machine after seeing the NimForUE project (https://github.com/jmgomez/NimForUE) and was sad to see that my computer would auto-mark any nim binaries as malware and delete them. I wasn't too invested so I just shrugged rather than looking for too many workarounds.

For people scared off by C++ and who want faster recompile times, check out the Nim bindings [0]. Check out his Twitter/X account [1] for plenty of cool things it brings to the table.

[0]: https://github.com/jmgomez/NimForUE

[1]: https://twitter.com/_jmgomez_

I started using Nim because i wanted to port some of machine learning models written in python with the idea of making them more portable. It was a lot of work as community is relatively small and a new user would end up writing a lot of code.

But Nim has a pretty solid standard library with clearly written code and an awesome community to help with problems. I generally read a lot of standard library code to expand my knowledge of language and discover common patterns which repeat themselves in a lot of real world problems.

C inter-op is really first class, and as far as i know it has one of best C++ inter-op as well, you can take a look at: https://github.com/jmgomez/NimForUE for a real world example.

I use Nim for my work in both professional and personal capacity and also have written about some of it at https://ramanlabs.in/static/blog/index.html

I've switched over to Unreal and helped out with NimForUE early on. If you have any interest in Unreal, you should check it out since it's in a really good state. It does assume knowledge of Nim, Unreal, and C++ to really get the most out of it.

In NimForUE, we ran into issues with nimble early on, so we resorted to using nim for the build scripts because we needed to do code generation gymnastics to work with Unreal's build system and Nim's C++ codegen. The Nim compiler has had some patches since we first worked on the build system, so maybe if we had to do things over again we could go back to NimScript.

They would be better off just paying the guy developing NimForUE some money and making it first-party.

NimForUE is an Unreal Engine plugin that aims to replace the verbose and tedious C++ with the concise and clean Nim language, supporting blueprints too and giving hot reloading and native speed performance. https://github.com/jmgomez/NimForUE

(https://github.com/jmgomez/NimForUE)

diffuzzy - https://github.com/nathanshearer/diffuzzy

diffuzzy - compare multiple paths in sublinear time to verify data integrity. Sublinear is very fast and you can compare massive multi-petabyte paths quickly without reading or trasnferring an entire dataset.

I also wrote diffuzzy, which I needed to quickly identify failures in the tools that sometimes don't work they way we expect. It can run comparisons in sublinear time without having to scan the entire dataset or transmit the whole dataset. It's great for catching edge cases and performing incremental transfers.

diffuzzy - Compare files or paths with an adjustable level of accuracy and speed