JupyterLite as a Datasette plugin

Related tags

Miscellaneousdatasette-jupyterlite
Overview

datasette-jupyterlite

PyPI Changelog Tests License

JupyterLite as a Datasette plugin

Installation

Install this plugin in the same environment as Datasette.

$ datasette install datasette-jupyterlite

Usage

Once installed, visit /jupyterlite/ to access JupyterLite served from your Datasette instance.

Development

To set up this plugin locally, first checkout the code. Then create a new virtual environment:

cd datasette-jupyterlite
python3 -mvenv venv
source venv/bin/activate

Or if you are using pipenv:

pipenv shell

Now install the dependencies and test dependencies:

pip install -e '.[test]'

To run the tests:

pytest
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Comments
  • Jupyter Snippet Cells / Default Notebook

    Jupyter Snippet Cells / Default Notebook

    Would it be possible to define some N cells that would be automatically inserted into a newly created notebook? For example, one currently needs to know how to import pandas, pyodide, and reference the local database. Would be great if that was configured by default. Or to have markdown introduction that would mention any instructions/gotcha/etc that apply to the environment.

    opened by dbready 0
  • Load notebooks from database

    Load notebooks from database

    Very intrigued by this extension. I am wondering if it could be hacked so that it could be populated with notebooks stored in the database (with or without saved cell output). Almost like a self-hosted Colab notebook with analysis + data. My potential use cases:

    • I do an analysis with my ridiculously heavy (ie out of scope for Pyodide) Python environment and store the input + output cells into a notebook for read-only consumption.
    • Have a pre-populated notebook with input + optional output cells that allow the reader to execute/modify queries to poke at some data that might be trickier to handle in SQL. Or to provide markdown context surrounding what a query means.

    Thinking out loud, it feels like there is a potential tie in with the Executable Book format to distribute an entire class in a file.

    -Gushing fan boy who loves this project.

    opened by dbready 0
  • Utility functions for loading data from Datasette

    Utility functions for loading data from Datasette

    Currently if you are inside JupyterLite and you want to load data from the host Datasette instance into a DataFrame or similar you need to do this:

    from js import fetch
from io import StringIO
import pandas

df = pandas.read_csv(
  StringIO(await (await fetch("https://latest-with-plugins.datasette.io/github/stars.csv")).text())
)

    It would be great if there was a less boilerplate heavy way of doing this.

    JupyterLite enhancement 
    opened by simonw 1
Releases(0.1a1)
Owner
Simon Willison
Simon Willison
GitHub Repository
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