impulse
Impulse will be a collection of primitives for signal processing (FFT, Convolutions, ...) (by SciNim)
jupyternim
A Jupyter kernel for nim (by stisa)
impulse | jupyternim | |
---|---|---|
1 | 3 | |
16 | 158 | |
- | - | |
7.6 | 0.0 | |
about 1 month ago | over 1 year ago | |
C++ | Nim | |
GNU General Public License v3.0 or later | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
impulse
Posts with mentions or reviews of impulse.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-03-28.
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Arraymancer – Deep Learning Nim Library
I am one of the Arraymancer contributors. I believe that what mratsim (Arraymancer’s creator) has done is pretty amazing but I agree that the scope is a quite ambitious. There’s been some talk about separating the deep learning bits into its own library (which I expect would be done in a backwards compatible way). Recently we worked on adding FFT support but instead of adding it to Arraymancer it was added to “impulse” (https://github.com/SciNim/impulse) which is a separate, signal processing focused library. There is also Vindaar’s datamancer (a pandas like dataframe library) and ggplotnim (a plotting library inspired by R’s ggplot). The combination of all of these libraries makes nim a very compelling language for signal processing, data science and ML.
Personally I’d like Arraymancer to be a great tensor library (basically a very good and ideally faster alternative to numpy and base Matlab). Frankly I think that it’s nearly there already. I’ve been using Arraymancer to port a 5G physical layer simulator from Matlab to nim and it’s been a joy. It’s not perfect by any means but it’s already very good. And given how fast nim’s scientific ecosystem keeps improving it will only get much better.
jupyternim
Posts with mentions or reviews of jupyternim.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-03-28.
-
Arraymancer – Deep Learning Nim Library
I just had a look, and there does seem to be a Jupyter kernel at https://github.com/stisa/jupyternim
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Could Nim be a complete replacement for Python?
Notebooks, I found just one: https://github.com/stisa/jupyternim
- Nim Version 1.6 Released
What are some alternatives?
When comparing impulse and jupyternim you can also consider the following projects:
nesper - Program the ESP32 with Nim! Wrappers around ESP-IDF API's.
nvim-treesitter-textobjec
vscode-nim
Nimfem - A tiny finite element library in Nim.
replim - quick REPL of nim