reticulate
R Interface to Python (by rstudio)
jlpkg
A command line interface (CLI) for Pkg, Julia's package manager. (by fredrikekre)
| reticulate | jlpkg | |
|---|---|---|
| 8 | 2 | |
| 1,663 | 89 | |
| 0.6% | - | |
| 9.5 | 0.0 | |
| 2 days ago | over 1 year ago | |
| R | Julia | |
| Apache License 2.0 | 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.
reticulate
Posts with mentions or reviews of reticulate.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-10-18.
- unexpected input error after reticulate version update
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PYTHON CHARTS: the Python data visualization site with more than 500 different charts with reproducible code and color tools
Hi! At this moment I'm not opening the source code, but I can explain you the tech used. This site is based on another site I created before named https://r-charts.com/ and it was created with blogdown (HUGO + R Markdown). Hence, each tutorials is an R markdown file. For PYTHON CHARTS, in order to run Python within an R markdown file I had to use an R package named reticulate. In addition, the template depends on shuffle.js for filtering and fuse.js for searching
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RStudio is rebranding to Posit in an effort to expand beyond the R community
It's super easy and environments work really well too. What I typically do is start a markdown document and run whatever chunks in R or Python I'd like and then use the reticulate package to communicate between them. Using an R object in Python is as easy as calling "r.objectname" or you can simply run "source_python" and preface python functions with py$ and run them directly on R objects. The reticulate package does a good job of converting objects into the appropriate types. I was up and running in an afternoon and most of the Python code I simply just saved as .py scripts and ran directly in R-Studio with no problems. I often get output from Python functions in some format and convert it into a data frame, do what I need to do with tidy if required, and then ggplot for the visuals. Here is the tutorial that got mestarted
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For some reason, nobody uses R for machine learning
Fastest way to get from messy data to model IMO. Plus I can code in python in R with reticulate. https://rstudio.github.io/reticulate/
- [Q] Importance of Python for a statistician?
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Introduction to Pluto.jl
How does RStudio have little interest in interoperability with other languages? They produce the reticulate package[1] to allow calling Python code for R, they have added support for Python to RMarkdown and RStudio[2], they let you host Python apps on their RStudio Connect product[3], they sponsor Ursa Labs to work on the Arrow project for easy data interchange[4].
1) https://rstudio.github.io/reticulate/
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What is the best way to combine python with R?
Reticulate
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Hello! This appeared while I was building the distributions for my game. How do I fix this?
Seems like a python problem. Do you have any version of Python already installed on your computer? Context: ( https://github.com/rstudio/reticulate/issues/313 )
jlpkg
Posts with mentions or reviews of jlpkg.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-07-26.
-
What's Bad about Julia?
You can expose it as a CLI tool if you wish: https://github.com/fredrikekre/jlpkg
- Introduction to Pluto.jl
What are some alternatives?
When comparing reticulate and jlpkg you can also consider the following projects:
Pluto.jl - 🎈 Simple reactive notebooks for Julia
Conda.jl - Conda managing Julia binary dependencies [Moved to: https://github.com/JuliaPy/Conda.jl]
githut - Github Language Statistics
Hugo - The world’s fastest framework for building websites.
DiffEqOperators.jl - Linear operators for discretizations of differential equations and scientific machine learning (SciML)
Conda.jl - Conda managing Julia binary dependencies