Dash.jl
AlgebraOfGraphics.jl
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| Dash.jl | AlgebraOfGraphics.jl | |
|---|---|---|
| 5 | 4 | |
| 480 | 392 | |
| 0.2% | 2.0% | |
| 7.3 | 5.4 | |
| 15 days ago | 3 days ago | |
| Julia | Julia | |
| MIT License | 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.
Dash.jl
- Dash.jl – Julia interface to the Dash ecosystem
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Python is COOL
If you have to move to another language maybe check out julia, it looks similar to python to some extent, I hear it has very nice support for CUDA and for the web interface part there's Dash which should be familiar I guess.
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A dashboard like Plotly Dash, but for a Julia?
Besides Plotly Dash itself (which is mainly a JavaScript library with both Python and Julia bindings) there are the following Julia alternatives:
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building web apps in Julia
Depends on what you’re doing, but I’ve been using Dash to great success for my purposes at my company. The documentation kinda overlaps/misses some edge cases with the Python/JavaScript versions, but the framework is mostly analogous
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Julia Update: Adoption Keeps Climbing; Is It a Python Challenger?
So can Julia:
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:
What are some alternatives?
Genie.jl - 🧞The highly productive Julia web framework
Pluto.jl - 🎈 Simple reactive notebooks for Julia
StatsPlots.jl - Statistical plotting recipes for Plots.jl
Plotly.jl - A Julia interface to the plot.ly plotting library and cloud services
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.
PackageCompiler.jl - Compile your Julia Package
RCall.jl - Call R from Julia
PlutoSliderServer.jl - Web server to run just the `@bind` parts of a Pluto.jl notebook
VegaLite.jl - Julia bindings to Vega-Lite
Revise.jl - Automatically update function definitions in a running Julia session