ggplotnim
A port of ggplot2 for Nim (by Vindaar)
Datamancer
A dataframe library with a dplyr like API (by SciNim)
| ggplotnim | Datamancer | |
|---|---|---|
| 5 | 7 | |
| 175 | 124 | |
| - | 2.4% | |
| 9.1 | 8.7 | |
| 3 months ago | 2 months ago | |
| Nim | Nim | |
| MIT License | 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.
ggplotnim
Posts with mentions or reviews of ggplotnim.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-04-02.
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Chinchilla Scaling: A Replication Attempt
That is certainly true (and why added a general "embed plot data as bitmap into SVG/PDF" option to https://github.com/Vindaar/ggplotnim that works not only for raster heatmaps). But realistically such plots are often not ideal anyway (too many data points in a plot is often a sign that a different type of plot would be better; typically one that aggregates in some way) and it's just another argument to make the data for plots available as well.
- The Origin of Joy Division’s Unknown Pleasures Album Cover Art (2015)
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Converting my PhD thesis into HTML
Well, personally as I write almost all my code in Nim and am the developer of ggplotnim [0], I simply write a source code snippet with some short Nim code, generate a plot and dump the filename into the Org file.
If I had more time and wanted something more convenient and magical, I would probably write a elisp function that takes X Y (Z) columns and generates a plot from those using a simple Nim program in the back that receives the data, generates the plot and returns it somehow. Haven't given this much thought though.
[0]: https://github.com/Vindaar/ggplotnim
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Anyone attempted to make Nim serve R's role? How is it currently?
I have been using Nim for all of my recent data munging and analysis. There's https://github.com/Vindaar/ggplotnim for plots (among others) and everything else has just been normal code. There's also https://github.com/SciNim/Datamancer if you need something more like tidyverse.
- ggplotnim: A port of ggplot2 for Nim
Datamancer
Posts with mentions or reviews of Datamancer.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-05-24.
-
Anyone attempted to make Nim serve R's role? How is it currently?
I have been using Nim for all of my recent data munging and analysis. There's https://github.com/Vindaar/ggplotnim for plots (among others) and everything else has just been normal code. There's also https://github.com/SciNim/Datamancer if you need something more like tidyverse.
- Nim Version 1.6.6 Released
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Is Nim right for me?
Check out Datamancer for your Pandas equivalent. If I recall correctly it does have the ability to read/write csv. If that doesn't suite you, there is a Python/Nim bridge called Nimpy. I do a lot of machine learning projects and have to use OpenCV and some other things from python because it doesn't exist yet. It's a pretty damn cool library.
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daily report for Nim language
worked on the roadmap https://github.com/nim-lang/Nim/pull/19388 (enable -d:nimPreviewFloatRoundtrip and -d:nimPreviewDotLikeOps) and found that an important_packages (datamancer) failed. So I made a PR (https://github.com/SciNim/Datamancer/pull/23). It is not a bug of nimPreviewFloatRoundtrip(It seems like a precision problem to me) so alternatively datamancer can be disabled transiently.
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Which dataframe library to use?
There seems to be two major ones for Nim, NimData and Datamancer. Which one is better?
- Polars: Lightning-fast DataFrame library for Rust and Python
What are some alternatives?
When comparing ggplotnim and Datamancer you can also consider the following projects:
boomer - Zoomer application for Linux
nimpy - Nim - Python bridge