Infiltrator.jl
Pluto.jl
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Infiltrator.jl | Pluto.jl | |
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5 | 78 | |
379 | 4,871 | |
5.3% | - | |
7.1 | 9.5 | |
14 days ago | 5 days ago | |
Julia | JavaScript | |
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.
Infiltrator.jl
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I can never debug codes in Julia without issues. Help?
Also Infiltrator is very fast and useful but don't try to use it from the Vscode integrated terminal.
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Just downloaded Julia, what packages/other things do I need to download to have it all work properly?
The package Infiltrator.jl might be what you seek. It's not as good as inserting breakpoints like in Matlab but it's still better than printing everywhere haha
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Julia 1.7 has been released
Yes, it uses Debugger.jl, which relies on JuliaInterpreter.jl under the hood, so while you can tell the debugger to compile functions in certain modules, it will mostly interpret your code.
You might be interested in https://github.com/JuliaDebug/Infiltrator.jl, which uses an approach more similar to what you describe.
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Error handling and unwinding stacks in Julia
Another small thing is in the REPL when you trigger an error in Common lisp it drops you into the debugger where you can redefine code and retry directly from the stack without unwinding the entire stack. Does Julia have functionality similar to this? Currently when I trigger an error Julia just throw the error and goes right back to the top level prompt. To resolve this issue I've tried sprinkling my code with a combination of GitHub - JuliaDebug/Infiltrator.jl + Stack Traces · The Julia Language wrapped in try catch blocks so that if an error is singled it drops into a debugger of sorts. This is ok and it works but it isn't really as good. Is there a current package that can emulate what I am trying to do? I think that the REPL workflow is good in julia but the workflow stalls out when you run into errors that don't drop into debuggers and such.
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Why is piping so well-accepted in the R community compared to those in Julia and Python?
Have you ever tried Infiltrator.jl and Chain.jl?
Pluto.jl
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Potential of the Julia programming language for high energy physics computing
I thought that notebook based development and package based development were diametrically opposed in the past, but Pluto.jl notebooks have changed my mind about this.
A Pluto.jl notebook is a human readable Julia source file. The Pluto.jl package is itself developed via Pluto.jl notebooks.
https://github.com/fonsp/Pluto.jl
Also, the VSCode Julia plugin tooling has really expanded in functionality and usability for me in the past year. The integrated debugging took some work to setup, but is fast enough to drop into a local frame.
https://code.visualstudio.com/docs/languages/julia
Julia is the first language I have achieved full life cycle integration between exploratory code to sharable package. It even runs quite well on my Android. 2023 is the first year I was able to solve a differential equation or render a 3D surface from a calculated mesh with the hardware in my pocket.
- Pluto.jl: Simple, reactive programming environment for Julia
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Ask HN: Why don't other languages have Jupyter style notebooks?
Re Julia there is also pluto.jl that is another notebook-like environment for julia. It's been a few years since I played with it but it looked cool, for example it handles state differently so you don't get into the same messes as with ipython notebooks. https://plutojl.org/
- Pluto: Simple Reactive Notebooks for Julia
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Looking for a Julia gui framework with a demo like EGUI
For this, Notebooks are often used. Julia offers a uniquely nice and interactive Pluto notebook for the web https://github.com/fonsp/Pluto.jl
- Excel Labs, a Microsoft Garage Project
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IPyflow: Reactive Python Notebooks in Jupyter(Lab)
I believe this is what Pluto sets out to do for Julia.
I used it as part of the “Computational Thinking” with Julia course a year or two back. Even then the beta software was very good and some of the demos the Pluto dev showed were nothing short of amazing
https://plutojl.org/
- For Julia is there some thing like VSCode's python interactive window?
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What have you "washed your hands of" in Python?
I think what you want is Pluto!
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Show HN: Out of order execution in Jupyter notebooks is a solved problem
I like how Pluto.jl handles this:
> Pluto offers an environment where changed code takes effect instantly and where deleted code leaves no trace. Unlike Jupyter or Matlab, there is no mutable workspace, but rather, an important guarantee:
> At any instant, the program state is completely described by the code you see.
[1] https://github.com/fonsp/Pluto.jl
What are some alternatives?
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.
vim-slime - A vim plugin to give you some slime. (Emacs)
Debugger.jl - Julia debugger
rmarkdown - Dynamic Documents for R
DiffEqOperators.jl - Linear operators for discretizations of differential equations and scientific machine learning (SciML)
Weave.jl - Scientific reports/literate programming for Julia
mujoco - Multi-Joint dynamics with Contact. A general purpose physics simulator.
Dash.jl - Dash for Julia - A Julia interface to the Dash ecosystem for creating analytic web applications in Julia. No JavaScript required.
Diffractor.jl - Next-generation AD
IJulia.jl - Julia kernel for Jupyter
ResultTypes.jl - A Result type for Julia—it's like Nullables for Exceptions
Tables.jl - An interface for tables in Julia