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rnim | echarts4r | |
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6 | 3 | |
24 | 573 | |
- | - | |
5.2 | 7.2 | |
over 2 years ago | 2 months ago | |
Nim | JavaScript | |
- | GNU General Public License v3.0 or later |
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.
rnim
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Deeplearning in Nim?
While indeed we are less people developing stuff in Nim compared to even the Julia community (which itself is of course much smaller than say Python), we do have cover a large amount of the typical needs in the scientific computing domain. And where we miss stuff it's a) easy to wrap C/C++ or b) simply call Julia, R or Python (As a personal reference I'm doing data analysis & numerical physics stuff in context of my PhD in physics and I literally do everything in Nim. The only significant C dependency {and only as a shared lib} I depend on is libhdf5 via nimhdf5).
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Stan in Nim?
use Rnim to access the R bindings
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Anyone attempted to make Nim serve R's role? How is it currently?
If you're willing to help out, you'll surely be able to do anything you need. If Nim libraries fail, you can also always call R directly from Nim via Rnim!
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Generate Python extensions using Nim language
Maybe also of interest is a nascent package for R calling Nim (or vice versa): https://github.com/SciNim/rnim
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Nim -- a modern "glue" language like Python
c2nim is a tool to translate ANSI C code to Nim. The output is human-readable Nim code that is meant to be tweaked by hand after the translation process. If you are tired of wrapping C library, you can try futhark which supports "simply import C header files directly into Nim". Similar to futhark, cinterop allows one to interop with C/C++ code without having to create wrappers. nimLUA is a glue code generator to bind Nim and Lua together using Nim's powerful macro. nimpy and nimporter is a bridge between Nim and Python. rnim is a bridge between R and Nim. nimjl is a bridge between Nim and Julia! Last but not least, genny generates a shared library and bindings for many languages such as Python, Node.js, C.
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What would you like to see from an R2 / R++ / R#
I am risking to be offtopic, but there is somenthing interesting happening in Nim, where someone wrote a wrapper to R: https://github.com/SciNim/rnim
echarts4r
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A love letter to Apache Echarts
You can also use Apache Echarts through R with this package: https://echarts4r.john-coene.com/
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echarts4r VS echarty - a user suggested alternative
2 projects | 2 Jun 2022
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I'd like to know R but my immediate need is to make interactive charts in html format for web publication. Is ggplotly any good?
This might shock you, but open-source software is an open and collaborative effort. If you think that the example with two Y-axes undermines this entire project, you can go to the echarts4r github repository, open a pull request (the website is made via pkgdown), and propose improvements to the documentation. Maybe do something good instead??
What are some alternatives?
genny - Generate a shared library and bindings for many languages.
plotly.js - Open-source JavaScript charting library behind Plotly and Dash
c2nim - c2nim is a tool to translate Ansi C code to Nim. The output is human-readable Nim code that is meant to be tweaked by hand before and after the translation process.
patchwork - The Composer of ggplots
Datamancer - A dataframe library with a dplyr like API
echarty - The goal of echarty is to provide a minimal interface, a “glue”, between R and ECharts, then let your R data lists build the chart. There are utilities included to assist with data preparation, Shiny with proxy and JS plugins. Have the full functionality of ECharts in R with minimal overhead!
nimLUA - glue code generator to bind Nim and Lua together using Nim's powerful macro
wink-nlp - Developer friendly Natural Language Processing ✨
box - Write reusable, composable and modular R code
shinyjs - 💡 Easily improve the user experience of your Shiny apps in seconds
nimpy - Nim - Python bridge
r-shinylive-demo - Deploying an R Shiny Application in Quarto with Shinylive (No Shiny Server Required)