Create interactive visualizations using natural language and LLMs
Project description
Vibe Widget
Create interactive visualizations using natural language and LLMs.
Installation
pip install vibe-widget
Or with uv:
uv pip install vibe-widget
Quick Start
import pandas as pd
import vibe_widget as vw
df = pd.DataFrame({
'height': [150, 160, 170, 180, 190],
'weight': [50, 60, 70, 80, 90]
})
vw.create("an interactive scatterplot of height and weight", df)
This will:
- Analyze your data structure
- Generate a React component via Claude API
- Return an HTML file with the interactive visualization
API Key Setup
Set your Anthropic API key:
export ANTHROPIC_API_KEY='your-api-key-here'
Or pass it directly:
vw.create(
"a bar chart of sales by region",
df,
api_key="your-api-key-here"
)
Saving to File
vw.create(
"an interactive line chart showing trends over time",
df,
output_path="output/visualization.html"
)
Development
Install with dev dependencies:
pip install -e ".[dev]"
Run tests:
pytest
Lint and format:
ruff check .
ruff format .
Type checking:
mypy src/
Features
- 🚀 Modern Python packaging (pyproject.toml, src layout)
- 🤖 LLM-powered visualization generation
- ⚛️ React-based interactive widgets
- 📊 Pandas DataFrame integration
- 🔧 Extensible LLM provider system
License
MIT
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