NimForUE VS space-nerds-in-space

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)

I don't know if this counts, but I wrote a parser for "the ship's computer" in my game, "Space Nerds in Space". It's described here: https://scaryreasoner.wordpress.com/2016/05/14/speech-recogn...

I also wrote some toy "interactive fiction" things (with less sophisticated parsers) in python and Lua as a way to gain familiarity with those languages, not that they are very interesting in and of themselves, though they demonstrate a fairly standard technique behind these kinds of games in a compact way.

https://github.com/smcameron/smcamerons-python-adventure

https://github.com/smcameron/space-nerds-in-space/blob/maste...

I have this book, which I got about 10 years ago, and found it very helpful when writing my own (primitive, not even close to state of the art) game in C, and I have recommended this book to others on reddit many times over the years. My copy of the book still has the CD inside, never opened. I never looked at it, mainly because I found there's no need, the algorithms are not very long for the most part, and I needed to understand them and fit them into my codebase anyway.

Space Nerds in Space - multi-player starship bridge simulator so you can captain your starship through adventures with your friends.

Space Nerds in Space (github) is an open source spaceship bridge simulator so you can captain your starship through space adventures with your friends. Each player mans a station on a simulated starship. There are stations for Navigation, Weapons, Engineering/Damage Control, Comms, Science, and a gamemaster station. It's written in C, with a Lua API for writing "mission scripts". Multiple starships can be present in the simulation at once if you can manage to gather enough friends to crew them. It even supports speech recognition and natural language parsing if you're so inclined.

This is what gaseous-giganticus uses. Combined with some other techniques, it can help with making some clouds for earthlike planets, but not in real time. Mentioned here previously. The process I use for making earthlike planets with clouds for Space Nerds in Space is described here.

As an example, I made this game which is basically a multiplayer star trek game where each player is a member of the crew of a spaceship. There are "scenarios" -- little missions -- that are coded in Lua, some written by me, some by other people. You can see them here: https://github.com/smcameron/space-nerds-in-space/tree/master/share/snis/luascripts/MISSIONS There's a Lua API my game provides described here: https://github.com/smcameron/space-nerds-in-space/blob/master/doc/lua-api.txt

Not an MMORPG, just a LAN game really, but my spaceship bridge simulator Space Nerds in Space is open source (GPL2) and in C. The network server architecture is pretty simple, TCP, and a read thread and a write thread per client, which would be a bad design if there were a large number clients, but for less than 30 or so clients (realistic number of clients is 5-10, leaning towards 5), it's absolutely fine (KISS principle). There's some documentation about how it all works here: Hacking on Space Nerds in Space and the website for the game is here: https://spacenerdsinspace.com

Continued this discussion on github: https://github.com/smcameron/space-nerds-in-space/discussions/322

I have an open source game project I've been working on since 2012 or so. I have received patches from 23 people during that time. Maybe 4 or 5 have made significant contributions (more than drive-by bug fixes, and I'm counting myself in those numbers). Well, you can take a look for yourself and see how the contribution graphs look