Taipy is a Python-only framework for building interactive web applications — data pipelines, dashboards, and ML apps without writing JavaScript.
What You Get for Free
- Pure Python — no HTML, CSS, or JavaScript needed
- Interactive widgets — sliders, charts, tables, selectors
- Data pipeline — visual DAG editor for data workflows
- Scenario management — compare multiple what-if analyses
- Large data — handles millions of rows efficiently
- Multi-page apps — routing built-in
- Deployment — Taipy Cloud or self-hosted
- Real-time — auto-update UI when data changes
Quick Start
pip install taipy
import taipy as tp
from taipy.gui import Gui
data = {"Month": ["Jan","Feb","Mar"], "Sales": [100, 150, 200]}
page = """
# Sales Dashboard
<|{data}|chart|x=Month|y=Sales|>
<|{data}|table|>
"""
Gui(page=page).run()
Why Developers Switch from Streamlit
Streamlit re-runs the entire script on every interaction:
- No re-runs — Taipy only updates what changed
- Data pipelines — built-in DAG for ETL workflows
- Scenario management — unique feature for what-if analysis
- Production-ready — designed for enterprise deployment, not just prototypes
A data team's Streamlit dashboard took 30 seconds to load on each filter change (re-ran all queries). After Taipy: instant filter updates, same data, same charts. Users stopped complaining about wait times.
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