RCall.jl
Makie.jl
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RCall.jl | Makie.jl | |
---|---|---|
8 | 11 | |
310 | 2,262 | |
1.0% | 1.4% | |
5.5 | 9.7 | |
15 days ago | 6 days ago | |
Julia | Julia | |
GNU General Public License v3.0 or later | MIT License |
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.
RCall.jl
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Makie, a modern and fast plotting library for Julia
I don't use it personally, but RCall.jl[1] is the main R interop package in Julia. You could call libraries that have no equivalent in Julia using that and write your own analyses in Julia instead.
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Making Python 100x faster with less than 100 lines of Rust
You can have your cake and eat it with the likes of
* PythonCall.jl - https://github.com/cjdoris/PythonCall.jl
* NodeCall.jl - https://github.com/sunoru/NodeCall.j
* RCall.jl - https://github.com/JuliaInterop/RCall.jl
I tend to use Julia for most things and then just dip into another language’s ecosystem if I can’t find something to do the job and it’s too complex to build myself
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Interoperability in Julia
To inter-operate Julia with the R language, the RCall package is used. Run the following commands on the Julia REPL
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Convert Random Forest from Julia to R
https://github.com/JuliaInterop/RCall.jl may help
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I'm considering Rust, Go, or Julia for my next language and I'd like to hear your thoughts on these
If you need to bindings to your existing R packages then Julia is the way. Check out RCall.jl
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translate R code to Julia code
I have no experience with R, but maybe this will be of use: https://github.com/JuliaInterop/RCall.jl
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Julia 1.6: what has changed since Julia 1.0?
You can use RCall to use R from Julia: https://github.com/JuliaInterop/RCall.jl
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Julia Update: Adoption Keeps Climbing; Is It a Python Challenger?
I worked with R and Python during the last 3 years but learning and dabbling with Julia since 0.6. Since the availability of [PyCall.jl] and [RCall.jl], the transition to Julia can already be easier for Python/R users.
I agree that most of the time data wrangling is super confortable in R due to the syntax flexibility exploited by the big packages (tidyverse/data.table/etc). At the same time, Julia and R share a bigger heritage from Lisp influence that with Python, because R is also a Lisp-ish language (see [Advanced R, Metaprogramming]). My main grip from the R ecosystem is not that most of the perfomance sensitive packages are written in C/C++/Fortran but are written so deeply interconnect with the R environment that porting them to Julia that provide also an easy and good interface to C/C++/Fortran (and more see [Julia Interop] repo) seems impossible for some of them.
I also think that Julia reach to broader scientific programming public than R, where it overlaps with Python sometimes but provides the Matlab/Octave public with an better alternative. I don't expected to see all the habits from those communities merge into Julia ecosystem. On the other side, I think that Julia bigger reach will avoid to fall into the "base" vs "tidyverse" vs "something else in-between" that R is now.
[PyCall.jl]: https://github.com/JuliaPy/PyCall.jl
[RCall.jl]: https://github.com/JuliaInterop/RCall.jl
[Julia Interop]: https://github.com/JuliaInterop
[Advanced R, Metaprogramming] by Hadley Wickham: https://adv-r.hadley.nz/metaprogramming.html
Makie.jl
- Julia and Mojo (Modular) Mandelbrot Benchmark
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how to visulaise motions and vectors in 3 dimensions?
Just look at this lotenz attractor https://docs.makie.org/stable/
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Julia lib to get vector paths of font glyphs?
There does exist some code for reading glyph geometry from fonts - you can find some of it in the Makie source directory: eg https://github.com/MakieOrg/Makie.jl/blob/master/src/bezier.jl - you can see that there's quite a lot though...
- Makie.jl
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Visualization of physics simulations
You'll want Makie.
- Makie: High level plotting on the GPU with Julia
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SproutLife simulates the evolution of complex life.
Thanks! Looks like the Julia Makie library can do graphics and gui widgets as well -https://github.com/JuliaPlots/Makie.jl
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Issue using Gadfly
There was also this recent thread where some folks were talking up Makie.jl, for which there is apparently also a Grammar-of-Graphics-style wrapper called AlgebraOfGraphics.jl.
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Plotting in Julia (native packages)
If you're looking for native then Makie.jl is probably your best bet. It's still a little underdocumented and the integrations with the rest of the ecosystem are still incomplete, but it's a pretty amazing plotting library. Fast with easy GPU acceleration, good interactivity and animations (great for making GUIs), and easy to extend.
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Zig library for generative images
How tricky or hard would it be to create nice looking plots from that? Something like https://github.com/JuliaPlots/Makie.jl but more low level.
What are some alternatives?
org-mode - This is a MIRROR only, do not send PR.
Gadfly.jl - Crafty statistical graphics for Julia.
Chain.jl - A Julia package for piping a value through a series of transformation expressions using a more convenient syntax than Julia's native piping functionality.
PyPlot.jl - Plotting for Julia based on matplotlib.pyplot
PyCall.jl - Package to call Python functions from the Julia language
Gnuplot.jl - Julia interface to gnuplot
Revise.jl - Automatically update function definitions in a running Julia session
oneAPI.jl - Julia support for the oneAPI programming toolkit.
cmssw - CMS Offline Software
duckdf - 🦆 SQL for R dataframes, with ducks
AlgebraOfGraphics.jl - Combine ingredients for a plot
DaemonMode.jl - Client-Daemon workflow to run faster scripts in Julia