vscode-reactive-jupyter
Pluto.jl
vscode-reactive-jupyter | Pluto.jl | |
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2 | 78 | |
0 | 4,886 | |
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9.0 | 9.5 | |
about 2 months ago | 5 days ago | |
TypeScript | JavaScript | |
GNU General Public License v3.0 or later | MIT License |
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vscode-reactive-jupyter
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Show HN: Marimo – an open-source reactive notebook for Python
Wow.. Really great work, finally someone is doing it!
Since I've thought about this for a long time (I've actually even made a very simplified version last year [1]), I want to contribute a few thoughts:
- cool that you have a Vscode extension, but I was a little disappointed that it opens a full browser view instead of using the existing, good Notebook interface of Vscode. (I get you want to show the whole Frontend- But I'd love to be able to run the Reactive Kernel within the full Vscode ecosystem.. Included Github Copilot is cool, but that's not all)
- As other comments said, if you want to go for reproducibility, the part about Package Management is very important. And it's also mostly solved, with Poetry etc...
- If you want to go for easy deployment of the NB code to Production, another very cool feature would be to extract (as a script) all the code needed to produce a given cell of output! This should be very easy since you already have the DAG.. It actually even existed at some point in VSCode Python extension, then they removed it
Again, great job
[1] https://github.com/micoloth/vscode-reactive-jupyter
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IPyflow: Reactive Python Notebooks in Jupyter(Lab)
Crazy seeing this here!
I searched for this last week, as I'm playing with building the same thing but as a VSCode extension.. See here [1]
I found another similar project on Github, but it was from many years ago. Yours did not turn up..
Very interested in finding out how you implemented it
[1] https://github.com/micoloth/vscode-reactive-jupyter#readme
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?
hamilton - Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage and metadata. Runs and scales everywhere python does.
vim-slime - A vim plugin to give you some slime. (Emacs)
nodebook - Repeatable analysis plugin for Jupyter notebook
rmarkdown - Dynamic Documents for R
gather - Spit shine for Jupyter notebooks 🧽✨
Weave.jl - Scientific reports/literate programming for Julia
ipyflow - A reactive Python kernel for Jupyter notebooks.
Dash.jl - Dash for Julia - A Julia interface to the Dash ecosystem for creating analytic web applications in Julia. No JavaScript required.
IJulia.jl - Julia kernel for Jupyter
Tables.jl - An interface for tables in Julia
PlutoSliderServer.jl - Web server to run just the `@bind` parts of a Pluto.jl notebook
Neptune.jl - Simple (Pluto-based) non-reactive notebooks for Julia