Altex

A simple wrapper on top of Altair to make charts in Streamlit with an express API.

If you're lazy and/or familiar with Altair, this is probably a good fit! Inspired by tvst/plost and plotly-express.

Installation

pip install altex

Or with uv (recommended):

uv add altex

Quick Start

import streamlit as st
import altex
import pandas as pd

# Create sample data
data = pd.DataFrame({
    'x': range(10),
    'y': [i**2 for i in range(10)]
})

# Create and display charts in Streamlit
altex.line_chart(data=data, x='x', y='y', title='My Chart')
altex.bar_chart(data=data, x='x', y='y', color='x')
altex.scatter_chart(data=data, x='x', y='y', opacity=0.7)

🎨 Demo App

Try the interactive demo:

# Clone this repository
git clone https://github.com/arnaudmiribel/altex.git
cd altex
uv sync
uv run streamlit run streamlit_app.py

The demo showcases:

• 📊 Beautiful chart examples
• ✨ Sparklines for dashboards
• 🚀 Quick start guide
• 📝 Simple API examples

Chart Types

• line_chart() - Line charts
• bar_chart() - Bar charts
• area_chart() - Area charts
• scatter_chart() - Scatter plots
• hist_chart() - Histograms
• sparkline_chart() - Sparkline charts
• sparkbar_chart() - Spark bar charts
• sparkarea_chart() - Spark area charts

Features

• Simple, express-like API
• Built on top of Altair
• Automatic Streamlit integration when available
• Sample data utilities
• Support for rolling averages, custom styling, and more

License

Apache-2.0