prologue VS Arraymancer

If you want to try an alternative to Jester, Prologue is very nice to use: https://github.com/planety/prologue

Well no language is perfect, but Nim can be used in almost every domain because of it's compilation targets(C, C++, JS) and it's fast compile times(who needs interpretation when compile times are that fast!):

* Shell scripting, I still assume most people will just use Bash tho: https://github.com/Vindaar/shell

* Frontend: https://github.com/karaxnim/karax or you could bind to an existing JS library.

* Backend: For something Flask-like: https://github.com/dom96/jester or something with more defaults https://github.com/planety/prologue

* Scientific computing: the wonderful SciNim https://github.com/SciNim

* Blockchain: Status has some of the biggest Nim codebases currently in production https://github.com/status-im?q=&type=&language=nim&sort=

* Gamedev: Also used in production: https://github.com/pragmagic/godot-nim and due to easy C and C++ interop, you get access to a lot of gamedev libraries!

* Embedded: this is a domain I know very little about but for example https://github.com/elcritch/nesper or https://github.com/PMunch/badger for fun Nim+embedded stuff!

Most of the disadvantages come from tooling and lack of $$$ support.

It doesn't https://github.com/planety/prologue/blob/devel/prologue.nimble

Jester is really great but I feel Prologue should get some attention too.

Nice! I want to also suggest the Prologue framework - here are the docs

Prologue is a great web framework in the Nim world. However, Prologue framework tries to avoid using macros. It is intended to reduce magic and reduce surprise. Macros could save you from redundant codebases. At the mean time, it could bring surprise. This article talks about how to extend the routing style outside Prologue without invading inside the web framework.

Prologue is a powerful and extensible web framework written in Nim language.

It is a small DSL written using macros at https://github.com/mratsim/Arraymancer/blob/master/src/array....

Nim has pretty great meta-programming capabilities and arraymancer employs some cool features like emitting cuda-kernels on the fly using standard templates depending on backend !

Nim has also a powerful deep learning library called Arraymancer. It's selling point is that you don't have to rewrite your code from research to production. It's used in various machine learning projects, but one recent one that caught my eye was https://github.com/amkrajewski/nimCSO "Composition Space Optimization"

https://github.com/mratsim/Arraymancer

- https://github.com/mratsim/Arraymancer/blob/master/src/array...

It's worth noting that nim async/await transformation is fully implemented as a library in macros.

https://github.com/mratsim/Arraymancer 11. « Premature optimisation is the root of all evil », Donald Knuth, The art of computer Programming It would be quite useful that someone writes one with examples for all these recommendations and more ...

In particular for deep learning as bobsyourunkl already mentioned there is arraymancer on the one hand and also flambeau on the other. The latter is a Nim wrapper around libtorch (i.e. the PyTorch C++ backend). It is missing things (to be wrapped by adding a few lines) and has some rough edges, but if one needs to get stuff done, it's possible.

how are u compiling (optimization, custom compilation flags etc.?) In my case https://github.com/mratsim/Arraymancer big project compile under your 4.2s so or you have like 10k+ lines of codes with macros or you just pass some debug flags to compiler :D

We have both raw wrappers for BLAS:

https://github.com/andreaferretti/nimblas

as well as LAPACK:

https://github.com/andreaferretti/nimlapack

For an example, consider calling the least squares routine `dgelsd` in arraymancer:

https://github.com/mratsim/Arraymancer/blob/master/src/array...

wrapped up in a nicer user facing API.

Feel free to hop onto matrix, if you have more questions!