ipympl
jupyterlite
| ipympl | jupyterlite | |
|---|---|---|
| 3 | 19 | |
| 1,536 | 3,661 | |
| 1.4% | 2.8% | |
| 5.6 | 8.9 | |
| 25 days ago | 8 days ago | |
| TypeScript | TypeScript | |
| BSD 3-clause "New" or "Revised" License | BSD 3-clause "New" or "Revised" 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.
ipympl
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Using ADTK for easy time series anomaly detection
I discovered this little library called ADTK that offers a sklearn-like Python API on top of statsmodels and proved to be very useful. Since I don't have a background in time series forecasting it was very useful to have a high level class that performed seasonality detection and deviations automatically. The documentation also explains the different kinds of anomalies one would want to detect, which was also very useful. And finally, it provides some nifty visualization utilities on top of matplotlib, which I combined with ipympl to have interactivity.
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Large plots in Jupyter notebooks (in Windows)
Install https://github.com/matplotlib/ipympl
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jupyterlab interactive plot
JavaScript output is disabled in JupyterLab I have also tried the magic (with jupyter-matplotlib installed):
jupyterlite
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SymPy: Symbolic Mathematics in Python
The JupyterLite Python-compiled-to-WASM build has NumPy, SciPy, matplotlib, and SymPy installed; so you can do computer algebra with SymPy in a browser tab.
https://JupyterLite.rtfd.io/
https://github.com/jupyterlite/jupyterlite/tree/main/py/jupy... :
> Initial support for interactive visualization libraries such as: altair, bqplot, ipywidgets, matplotlib, and plotly
- Vscode.dev: Local Development with Cloud Tools
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Show HN: Ipython-GPT, a Jupyter/IPython Interface to Chat GPT
https://jupyterlite.readthedocs.io/en/latest/howto/extension... :
> We recommend checking out how to create a server extension first
From https://github.com/jupyterlite/jupyterlite/issues/237#issuec... re: 'micropip':
%pip install $@ -
Show HN: Classic FPS Wolfenstein 3D brought in the browser via Emscripten
https://github.com/emscripten-forge/recipes/tree/main/recipe...
Re: emscripten fs implementations: https://github.com/emscripten-core/emscripten/issues/15041#i... https://github.com/jupyterlite/jupyterlite/issues/315
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Jupyterlab Desktop
Agreed that would be a killer feature. Unzip this package and get a functional Python + Jupyter + scientific (numpy, pandas, scipy, matplotlib) environment.
I have been on-and-off teaching some people Python and the initial setup on-ramp is horrible. Ok, so install Python, now ignore-this-for-now-complications: create a "virtualenv", use this thing called "pip", install these half-dozen things to get a basic notebook (Jupyter + scipy things), install these other half-dozen quality of life things, you should probably also have "conda" for the future, etc. That's a lot of nonsense for someone I am trying to show an alternative to Excel.
My shortcut, "You want to try Python?" approach has been to start with JupyterLite[0] where I can immediately get people coding and delay that pain.
[0] https://github.com/jupyterlite/jupyterlite
- Show HN: A 100% free and interactive Python course for coding beginners
- What Are People Building With WebAssembly?
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Hacker News top posts: Nov 29, 2022
JupyterLite: a JupyterLab distribution that runs in the browser\ (45 comments)
- JupyterLite is a JupyterLab distribution that runs in the browser
- JupyterLite: a JupyterLab distribution that runs in the browser
What are some alternatives?
ipywidgets - Interactive Widgets for the Jupyter Notebook
starboard-notebook - In-browser literate notebooks
ipyflex - A WYSIWYG layout editor for Jupyter widgets
pyodide - Pyodide is a Python distribution for the browser and Node.js based on WebAssembly
nbdime - Tools for diffing and merging of Jupyter notebooks.
panel - Panel: The powerful data exploration & web app framework for Python
xeus-cling - Jupyter kernel for the C++ programming language
brython - Brython (Browser Python) is an implementation of Python 3 running in the browser
streamlit - Streamlit — A faster way to build and share data apps.
Transcrypt - Python 3.9 to JavaScript compiler - Lean, fast, open! -
BrowserFS - BrowserFS is an in-browser filesystem that emulates the Node JS filesystem API and supports storing and retrieving files from various backends.
Tokamak - SwiftUI-compatible framework for building browser apps with WebAssembly and native apps for other platforms