AlgebraOfGraphics.jl
Revise.jl
AlgebraOfGraphics.jl | Revise.jl | |
---|---|---|
4 | 6 | |
393 | 1,154 | |
1.3% | - | |
5.0 | 7.7 | |
2 days ago | 8 days ago | |
Julia | Julia | |
MIT License | GNU General Public License v3.0 or later |
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.
AlgebraOfGraphics.jl
- Makie, a modern and fast plotting library for Julia
-
Tidyverse 2.0.0
This illustrates the point perfectly. Julia is attempting this and has a beachhead with Dataframes.jl. Confusingly though, Tidier.jl isn't really analogous to R's Tidyverse. It's more like one of a handful of meta-packages around Dataframes.jl.
Then there are Grammar of Graphics (ggplot was Tidyverse's first star) style plotting libraries that Julia has been building. I'm probably most excited about Algebra of Graphics (https://github.com/MakieOrg/AlgebraOfGraphics.jl/) as part of the Makie Plots ecosystem. It does still feel a bit like Julia community can't decide between following Matplotlib or R's Grid/Ggplot approach.
The seeds of a Tidyverse for Julia are there, but it'll take some time to achieve the consistency and maturity of the original Tidyverse.
-
What Julia plotting library do you use/think will be the standard going forward?
Did you maybe overlook something, in https://github.com/JuliaPlots/AlgebraOfGraphics.jl or other package? I looked up "grid" and it seems to have something. I realize R, and ggplot2, were considered best by many (and Gadfly.jl similar, AoG seems to be its replacement?), but I didn't realize it had extensions (that you clarify below). At least you can call R, and thus use its plotting (and I assume its extensions too, can you confirm or deny?). For some reasons you got downvoted, so might you be ignorant of new developments in Julia (also Makie, to me it seemed excellent and I thought Julia caught up with plotting, and also had more options than other languages), or the others, or people simply very opinionated about plotting? It's about features, also speed/latency/TTFP, which is getting better.
-
Julia Update: Adoption Keeps Climbing; Is It a Python Challenger?
Julia has plenty of plotting solutions that are better for stats than matplotlib:
https://github.com/JuliaPlots/AlgebraOfGraphics.jl
Revise.jl
- Julia and Mojo (Modular) Mandelbrot Benchmark
-
Very confused about using Modules (newbie from Python)
If you want to have changes in your module reflected in the REPL look into using Revise.jl.
- Tutorial Series to learn Common Lisp quickly
-
Do you use Julia for general purpose tasks?
Do you try using Revise.jl? Reloads function definitions for you. Indispensable.
-
Reloadr – Hot code reloading tool for Python
In Julia, this can be done with even less efforts on the user-side by loading Revise (https://github.com/timholy/Revise.jl) before any other package you load.
-
Julia Update: Adoption Keeps Climbing; Is It a Python Challenger?
Julia has some packages to address this now.
https://github.com/timholy/Revise.jl
What are some alternatives?
Genie.jl - 🧞The highly productive Julia web framework
StatsPlots.jl - Statistical plotting recipes for Plots.jl
PyCall.jl - Package to call Python functions from the Julia language
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.
VegaLite.jl - Julia bindings to Vega-Lite
PackageCompiler.jl - Compile your Julia Package
RCall.jl - Call R from Julia
jurigged - Hot reloading for Python
PaddedViews.jl - Add virtual padding to the edges of an array