Interactive widget and toolkit for slice discovery
Project description
Divisi - Interactive Slice Finding
Demo Quickstart
Optionally create a virtual environment with Python >3.7 to run the demo.
Install the package:
pip install divisi-toolkit
Install Jupyter Notebook or Jupyter Lab if not already installed. Then start a
Jupyter server. The example_data/example_adult.ipynb notebook shows how to use
the slice finding widget.
Running in Development Mode
To develop the frontend, make sure you have an up-to-date version of NodeJS in your terminal, then run:
cd client
npm install
vite
The vite command starts a live hot-reload server for the frontend. Then, when
you initialize the SliceFinderWidget, pass the dev=True keyword argument to
use the live server. (Make sure that you don't have anything else running on
port 5173 while you do this.)
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for divisi_toolkit-0.1.3-py3-none-any.whl
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