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Vindaar
ggplotnim
Nim2019–2024
Vindaar / ggplotnim

ggplotnim

A port of ggplot2 for Nim

Data & Databases
Explore on GitHubRead Hacker News discussions
4Distinct people
11Mentions
0Explicit recommenders
188GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

A port of ggplot2 for Nim

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

Mentioned in the same Hacker News threads. That is not proof they are substitutes.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 1:49:46 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year11 dated mentions

Observed mentions: 2019-10-30 10:36:16 UTC to 2024-04-19 08:02:28 UTC.

0123452019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments20192020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 5 mentions; 0 submissions, 5 comments2021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments20212022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2024-01-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2024

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC101
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC505
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC202
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC101
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC101
20242024-01-01 00:00:00 UTC2025-01-01 00:00:00 UTC101

What Hacker News says

11 sources
V1ndaar·Apr 19, 2024
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.
In Chinchilla Scaling: A replication attempt
V1ndaar·Apr 3, 2023
For anyone wondering: these kind of plots are sometimes still called "joyplots", but more and more commonly referred to as "ridgeline plots". Many plotting libraries have support for them nowadays, some more 'native support' than others. For ggplot2 there's ggridges [0], the seaborn docs have an example here [1] or in my own ggplot2 inspired lib for Nim [2] it's built in: [0]: https://cran.r-project.org/web/packages/ggridges/vignettes/i... [1]: https://seaborn.pydata.org/examples/kde_ridgeplot [2]: https://github.com/Vindaar/ggplotnim/blob/master/recipes.org...
In The origin of Joy Division’s Unknown Pleasures album cover art (2015)
V1ndaar·Dec 19, 2022
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
In Converting my PhD thesis into HTML (2021)
V1ndaar·Sep 18, 2020
If you talked to me about my PhD for a few minutes you would surely put me into your "had to reinvent the wheel for no reason" category. As indeed, I wrote an analysis framework for my data (of a gaseous detector used for axion search) [0] instead of using an existing framework used by my predecessor. However, things are always more complicated than they seem. Many of those not talked about students who rewrite stuff probably have reasons! In my case the existing framework [1] was a monster that was bent to allow it to work with the kind of data we have in the first place. In my case my detector had several additional features, which fit _even less_ into the existing framework. It would have been a hack and still a significant amount of work to make it work well. To be fair, when I started this I expected it to be less work than it ended
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up being. But that's the story of software development. The advantages now are significant of course. I know the whole codebase. It does exactly what I want. I can extend it easily as I see fit. That doesn't mean I didn't also partly procrastinate writing software. Far from it. Hell, there was no reason to write a freaking plotting library (a sort of port of ggplot2 for Nim) [3]. But again, this means my thesis will have plots created natively using a TikZ backend while at the same time provide links to Vega-Lite plots for each and every plot in my thesis (which of course will include the data for each plot!). Finally, the most important point: A university / professor who only pays me for 20h a week does not get to tell me how I do my PhD. [0]: https://github.com/Vindaar/TimepixAnalysis [1]: https://ilcsoft.desy.de/portal/software_packages/marlintpc/ [2]: https://github.com/Vindaar/ggplotnim
In Array Programming with NumPy
mratsim·Jul 2, 2020
> Syntax wise Nim it is a step back. It's hard to read and understand while any C/C++ dev will have next to no effort reading through D code. And of course while D is C ABI compliant it interoperates with C++ well too. On the other hand, people coming from Python, Ruby, Pascal, Ada will appreciate the minimal amount of sigils. > I seriously doubt that Nim or any other language in this regard has better metaprogramming than D. Can you write an Embedded DSL + compiler running at compile-time in D - https://github.com/numforge/laser/tree/master/laser/lux_comp... Can you write a cryptographic library with hex conversion to big integer and modular arithmetic running at compile-time in D? - https://github.com/mratsim/constantine/blob/master/constanti... Can you generate a state machine that lowers down to optimized computed gotos with no dynami
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c allocation suitable for multithreading runtimes and embedded devices and able to display the actual graph at compiletime? - https://github.com/mratsim/Synthesis Can you describe x86 opcodes in a declarative way for a JIT assembler and do all the rex/modrm/sib computation at compile-time? - https://github.com/mratsim/photon-jit/blob/master/photon_jit... And the same thing for an emulator? - https://github.com/mratsim/glyph/blob/master/glyph/snes/opco... Can you implement async as a library? Can you emulate classes with ADTs to solve the expression problem, avoid cache misses and multithreading problem due to OOP and the double indirection due to the visitor pattern? - https://github.com/mratsim/trace-of-radiance/blob/master/tra... > Nim might have a speed overhead in certain tasks but that depends on a benchmark. Besides, does Nim have anything similar to NumPy which is actually faster? D does. It does: - https://github.com/mratsim/Arraymancer With CPU, OpenCL and Cuda backends (in differing state of maturity) and it's being used for data analysis for example ancestry prediction: - http://home.chpc.utah.edu/~u6000771/somalier-ancestry.html You can even run a neural network and see its training live: - https://github.com/Vindaar/NeuralNetworkLiveDemo AFAIK D doesn't have any plotting library while Nim has plot.ly integration and a ggplot2 port in pure Nim: - https://github.com/brentp/nim-plotly - https://github.com/Vindaar/ggplotnim And lastly nim can easily call Python: - https://github.com/yglukhov/nimpy or be called from Python: - https://github.com/Pebaz/nimporter
In Ray Tracing in Nim
V1ndaar·Oct 30, 2019
Since you mention tidyverse, I might shamelessly mention that I'm currently working on a sort of port of ggplot2 and some dplyr features in Nim [1]. It's super WIP, but for most plots and simple data frame operations (complicated stuff I do beforehand) I need it has mostly replaced plotly [2] (or in some cases matplotlib). However, don't expect the included data frame to be fast. That in combination with a dynamic nature has been out of scope for me alone. [1] https://github.com/Vindaar/ggplotnim/tree/addDocs [2] https://github.com/brentp/nim-plotly
In Nim: Scripting Ease in a Compiled Language

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