Overview
Mesop is a Python-based UI framework, started at Google, for quickly building web apps such as demos and internal tools. You write the interface in plain Python using a reactive model, so you don't need to write JavaScript, CSS, or HTML.
It is aimed at developers who are comfortable in Python but are not front-end specialists. You compose your UI from ready-made components and your own Python functions, and the framework handles rendering in the browser.
Within the data-app builder category, Mesop fits the case where you want to stand up an AI demo or internal app fast, with hot reload and IDE type safety, while staying entirely in Python.
What it does
- Write UI in idiomatic Python with a reactive paradigm, no JavaScript, CSS, or HTML needed
- Ready-to-use components plus the ability to compose your own UI from plain Python functions
- Hot reload that automatically refreshes the browser and preserves app state
- Strong type safety and rich IDE support
- Labs helpers like text_to_text for quickly wiring up AI demo interfaces
- Try it instantly in a hosted Colab notebook before installing locally
Getting started
You can write a first Mesop app in fewer than 10 lines of Python. Install the package, drop in the example, and run it.
Install Mesop
Install the package from PyPI.
pip install mesopCreate main.py
Copy this example into a file named main.py. It defines a page and a simple text-to-text handler.
import mesop as me
import mesop.labs as mel
@me.page(path="/text_to_text", title="Text to Text Example")
def app():
mel.text_to_text(
upper_case_stream,
title="Text to Text Example",
)
def upper_case_stream(s: str):
return "Echo: " + s.capitalize()Run the app
Start the dev server with the mesop CLI and open it in your browser.
mesop main.pyCommands and code are distilled from the project's own documentation — always check the official repo for the latest.
When to use it
- Building an internal web app for a team without bringing in a front-end stack
- Standing up a quick AI demo with a text input and output
- Prototyping a UI in Python with hot reload during development
- Sharing a runnable interface for a model or script via a hosted Colab notebook
How Mesop compares
Mesop alongside other open-source data app builders tools AI/TLDR tracks, ranked by GitHub stars.
| Tool | Stars | What it does |
|---|---|---|
| Streamlit | ★ 45k | A Python framework that turns scripts into interactive data and ML web apps with simple widget calls and no frontend code. |
| Gradio | ★ 43k | A Python library for quickly building shareable web demos and UIs for machine learning models, APIs, and arbitrary functions. |
| Reflex | ★ 28.6k | A framework for building full-stack web apps entirely in Python, compiling component code to a React frontend and Python backend. |
| Dash | ★ 24.3k | A Python framework from Plotly for building analytical web dashboards and data apps with interactive charts and no JavaScript required. |
| marimo | ★ 21.5k | A reactive Python notebook stored as plain Python that can be run as a script or deployed as an interactive data app. |
| NiceGUI | ★ 15.9k | A backend-first Python UI framework built on FastAPI and Vue for creating web interfaces, dashboards, and internal tools. |
| Data Formulator | ★ 15.8k | A Microsoft Research tool that combines a UI with AI to help users create rich data visualizations through natural language and direct manipulation. |
| Mesop | ★ 6.6k | Build web apps and AI demos in pure Python, no JavaScript or CSS required |