gather
vscode-reactive-jupyter
| gather | vscode-reactive-jupyter | |
|---|---|---|
| 1 | 2 | |
| 526 | 0 | |
| 0.4% | - | |
| 0.0 | 9.0 | |
| 7 months ago | about 2 months ago | |
| Jupyter Notebook | TypeScript | |
| MIT License | GNU General Public License v3.0 or later |
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.
gather
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Show HN: Marimo – an open-source reactive notebook for Python
You're probably referring to nbgather (https://github.com/microsoft/gather), which shipped with VSCode for a while.
nbgather used static slicing to get all the code necessary to reconstruct some cell. I actually worked with Andrew Head (original nbgather author) and Shreya Shankar to implement something similar in ipyflow (but with dynamic slicing and a not-as-nice interface): https://github.com/ipyflow/ipyflow?tab=readme-ov-file#state-...
I have no doubt something like this will make its way into marimo's roadmap at some point :)
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
What are some alternatives?
mermaid - Generation of diagrams like flowcharts or sequence diagrams from text in a similar manner as markdown
hamilton - Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage and metadata. Runs and scales everywhere python does.
jupyter-vim-binding - Jupyter meets Vim. Vimmer will fall in love.
Pluto.jl - 🎈 Simple reactive notebooks for Julia
ipyflow - A reactive Python kernel for Jupyter notebooks.
nodebook - Repeatable analysis plugin for Jupyter notebook
ruff - An extremely fast Python linter and code formatter, written in Rust.
jupyter-cache - A defined interface for working with a cache of executed jupyter notebooks