This release is a pre-release and may not be stable for production use.
datasette-jupyterlite
JupyterLite as a Datasette plugin
Installation
Install this plugin in the same environment as Datasette.
$ datasette install datasette-jupyterlite
Demo
You can try out a demo of the plugin here: https://latest-with-plugins.datasette.io/jupyterlite/
Run this example code in a Pyolite notebook to pull all of the data from the github/stars table into a Pandas DataFrame:
import pandas, pyodide
df = pandas.read_csv(pyodide.open_url(
"https://latest-with-plugins.datasette.io/github/stars.csv?_labels=on&_stream=on&_size=max")
)
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
1 maintainer
Metadata
1 maintainer
Release files for datasette-jupyterlite 0.1a1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| datasette-jupyterlite-0.1a1.tar.gz | 2.7 kB | Without provenance | Details for datasette-jupyterlite-0.1a1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| datasette_jupyterlite-0.1a1-py3-none-any.whl | Python 3 | none | any | Details for datasette_jupyterlite-0.1a1-py3-none-any.whl |
Total release size: 5.7 kB
Release files / datasette-jupyterlite-0.1a1.tar.gz
| Download URL | datasette-jupyterlite-0.1a1.tar.gz |
|---|---|
| Size | 2.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.5.0 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7
|
Release files / datasette_jupyterlite-0.1a1-py3-none-any.whl
| Download URL | datasette_jupyterlite-0.1a1-py3-none-any.whl |
|---|---|
| Size | 3.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.5.0 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7
|
Security for datasette-jupyterlite 0.1a1
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