Create interactive visualizations using natural language and LLMs
Project description
Vibe Widget
Make analysis interactive.
Vibe Widget generates interactive notebook interfaces from plain English. Explore data with sliders, linked views, filters, and custom controls without building a front end.
What you can do
-
Create widgets from a prompt
Describe the interface you want and get a working widget immediately. -
Iterate safely
Revise in plain language, use built-in audits, and (optionally) require approval before any generated code runs. -
Share reusable widgets
Save widgets as.vwbundles and load them elsewhere—with review + audit on load by default. -
Run where your data lives
Works in Jupyter/JupyterLab, Colab, VS Code notebooks, marimo, and more (via AnyWidget + React).
Quickstart
pip install vibe-widget
export OPENROUTER_API_KEY="your-key"
import pandas as pd
import vibe_widget as vw
df = pd.read_csv("sales.csv")
widget = vw.create("scatter plot with brush selection and a linked histogram", df)
widget()
Acknowledgements
This repo was originally created at the Sundai Weird Data Hack. We thank Angela for her feedback and suggestions on early versions!
Special thanks to Trevor Manz and the Anywidget project for providing the specification and foundation that made this project possible. Be sure to check out and star AnyWidget!
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