RCall.jl
Genie.jl
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RCall.jl | Genie.jl | |
---|---|---|
8 | 21 | |
309 | 2,172 | |
1.3% | 1.8% | |
5.5 | 8.7 | |
about 2 months ago | 3 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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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
Genie.jl
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Tidyverse 2.0.0
Julia seems to be doing a better job catching up to R in this space than Python. I haven't used it personally, but the demos of Genie Framework are impressive: https://github.com/GenieFramework/Genie.jl / https://genieframework.com/
- Help With Next Language Decision
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Beginner's Series to Rust
Yep, I'm a PHP dev and often do simple JS/jQuery to support my backend code. I have a very general interest in data science and embedded programming, meaning one day I might start doing something with them, but for now, I'm interested in those languages for web development. The following frameworks were especially interesting
Go: https://github.com/gin-gonic/gin
Rust: https://rocket.rs/
Julia: https://genieframework.com/
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Plotting in a GUI with Julia
Check Genie. They're working on an app builder called Genie Cloud.
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Hacker News top posts: Apr 6, 2022
GenieFramework – Build web applications with Julia\ (19 comments)
- GenieFramework – Web Development with Julia
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is julia good for web dev?
try this framework - https://github.com/genieframework/Genie.jl
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building web apps in Julia
Are you sure you visited the right Genie.jl repo? Cause it's last commit was 9 days ago and it's last version (2.0.1) was released 9 days ago too.
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Livebook: A collaborative and interactive code notebook for Elixir
Julia has a web framework too of course. https://genieframework.com/
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Symbolics.jl: A Modern Computer Algebra System for a Modern Language
People definitely have used PyCall in production.
Julia at this point covers everything in NumPy, SciPy and much more. For optimization, bayesian stuff, scientific, and the convergence of the above with ML, it's far ahead- https://sciml.ai/
Even has relatively mature web frameworks (https://github.com/GenieFramework/Genie.jl)
What are some alternatives?
Dash.jl - Dash for Julia - A Julia interface to the Dash ecosystem for creating analytic web applications in Julia. No JavaScript required.
PlutoSliderServer.jl - Web server to run just the `@bind` parts of a Pluto.jl notebook
Visual Studio Code - Visual Studio Code
PackageCompiler.jl - Compile your Julia Package
Makie.jl - Interactive data visualizations and plotting in Julia
Revise.jl - Automatically update function definitions in a running Julia session
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.
cmssw - CMS Offline Software
Pluto.jl - 🎈 Simple reactive notebooks for Julia
livebook - Automate code & data workflows with interactive Elixir notebooks
PyCall.jl - Package to call Python functions from the Julia language
AlgebraOfGraphics.jl - Combine ingredients for a plot