Dash.jl
PyCall.jl
Dash.jl | PyCall.jl | |
---|---|---|
5 | 28 | |
480 | 1,438 | |
-0.2% | 0.3% | |
7.3 | 6.1 | |
6 days ago | about 2 months 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
-
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.
-
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:
-
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
-
Julia Update: Adoption Keeps Climbing; Is It a Python Challenger?
So can Julia:
https://github.com/plotly/Dash.jl
PyCall.jl
-
I just started into Julia for ML
For point 3 you can use https://github.com/cjdoris/PythonCall.jl or https://github.com/JuliaPy/PyCall.jl (and their respective Python sister packages).
- The Mojo Programming Language: A Python Superset Drawing from Rust's Strengths
-
Calling Chapel, Carbon, and zig code in Julia
PyCall.jl is really handy. Are there any similar projects for calling Chapel code, or Carbon/zig?
-
Am I dumb in thinking I can use Rust as a Fast Python and leave it at that?
Julia and Python interop should not be a problem at all. Actually Julia has one of the best interops I’ve ever seen, so much that swift copied it. https://github.com/JuliaPy/PyCall.jl
- Which tools do you use for python + Data Science?
-
I don't want to abandon Rust for Julia
One small note, julia also has great python interop via PyCall.jl
- Faster Python calculations with Numba: 2 lines of code, 13× speed-up
-
Interoperability in Julia
It is possible to call Python from Julia using PyCall. Then to install PyCall, run the command in the Julia REPL.
-
Why is Python so used in the machine learning?
That said, you can run python modules in Julia. So you can just export your code as a module and then use it in Julia via the PyCall package. short description here github here <— you’d just add the pacakge via the really nice package manager built into julia, but for link for more detailed documentation
- Use rust code in Python with pyo3
What are some alternatives?
Genie.jl - 🧞The highly productive Julia web framework
py2many - Transpiler of Python to many other languages
Pluto.jl - 🎈 Simple reactive notebooks for Julia
Revise.jl - Automatically update function definitions in a running Julia session
Plotly.jl - A Julia interface to the plot.ly plotting library and cloud services
julia - The Julia Programming Language
PackageCompiler.jl - Compile your Julia Package
PlutoSliderServer.jl - Web server to run just the `@bind` parts of a Pluto.jl notebook
are-we-fast-yet - Are We Fast Yet? Comparing Language Implementations with Objects, Closures, and Arrays
StatsPlots.jl - Statistical plotting recipes for Plots.jl
fast-ruby - :dash: Writing Fast Ruby :heart_eyes: -- Collect Common Ruby idioms.