cmssw
AlgebraOfGraphics.jl
cmssw | AlgebraOfGraphics.jl | |
---|---|---|
2 | 4 | |
1,051 | 394 | |
1.0% | 1.5% | |
10.0 | 5.0 | |
4 days ago | 3 days ago | |
C++ | Julia | |
Apache License 2.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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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.
cmssw
- Torvalds wants new NTFS driver in kernel
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Julia Update: Adoption Keeps Climbing; Is It a Python Challenger?
I don’t have much insight on the scientific computing landscape in general, but here’s one notable data point: I worked on the CMS experiment of LHC (Large Hadron Collider) for a while, which is one of the highest profile experiments in experimental physics. The majority of CMS code is C++, which you can check for yourself at https://github.com/cms-sw/cmssw (yes, much/most? of the code is open source). What I worked on specifically was prototyped in Python, then ported to C++ and plugged into the massive data processing pipeline where performance is critical due to the sheer amount of data. So I probably wouldn’t put C++ in parentheses.
AlgebraOfGraphics.jl
- Makie, a modern and fast plotting library for Julia
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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.
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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.
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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
What are some alternatives?
Genie.jl - 🧞The highly productive Julia web framework
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.
StatsPlots.jl - Statistical plotting recipes for Plots.jl
RCall.jl - Call R from Julia
VegaLite.jl - Julia bindings to Vega-Lite
org-mode - This is a MIRROR only, do not send PR.
Transformers.jl - Julia Implementation of Transformer models
Revise.jl - Automatically update function definitions in a running Julia session