---
id: solara-server
version: "1.61.0"
license: The MIT License (MIT) Copyright (c) 2022 Maarten A. Breddels Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the… (full text in the JSON record)
license_treatment: permissive
maintenance: active
---

# solara-server

License: permissive · Maintenance: active · Downloads: 125.0K/mo

## What it is and what it does

Solara-server is a production-ready web framework that lets you build React-style component-based applications in pure Python and run them as standalone web servers. It bridges Jupyter notebooks and web applications by building on ipywidgets and Starlette/FastAPI, so the same code can run both inside a notebook and as a deployed web service. The framework uses reactive state management—similar to React hooks—to handle component re-rendering when data changes, avoiding the spaghetti-code problem that often emerges as Python web apps grow.

You write components as Python functions decorated with @solara.component, declare reactive variables at the top level, and let the framework handle re-execution and UI updates. The server runs on FastAPI under the hood, making it suitable for production use. It supports hot code reloading during development and includes type hints for better IDE support. The framework automatically integrates with the ipywidget ecosystem, so you get access to a wide range of pre-built widgets and compatibility with multiple Jupyter platforms.

Use it for:

- Build interactive data exploration dashboards that run both in Jupyter notebooks and as standalone web apps without code duplication.
- Deploy Jupyter-based analyses as production web services using the solara-server command without rewriting in a different framework.
- Create component-based Python UIs with reactive state management for applications that would otherwise require React or another JavaScript framework.
- Rapidly prototype interactive tools in a notebook, then scale them to web apps as requirements grow, using the same codebase.
- Run multi-user web applications on top of ipywidgets without manually managing widget state or re-rendering logic.

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

Solara-server is a Python web framework that runs React-style component-based applications as standalone web servers, built on ipywidgets and Starlette/FastAPI for production deployment.

Yes, if you want to deploy Jupyter-based or ipywidget applications as production web servers without learning a new framework or rewriting in JavaScript. The active maintenance, low install friction, permissive license, and React-proven component model make it a solid choice for teams already invested in Python and Jupyter. No known vulnerabilities and a stable dependency chain add confidence. Install it if you're building interactive data apps or dashboards that need to scale beyond a single notebook.

## Install

pip install solara-server
uv add solara-server
poetry add solara-server

## Installing solara-server

Before you install: Low friction installation with a pure Python wheel. Active maintenance with a recent release (9 days old) and steady commit activity. Eight runtime dependencies are all established packages (click, filelock, ipykernel, jinja2, jupyter-client, nbformat, rich-click, solara-ui), suggesting a stable dependency chain.

License in practice: MIT license (permissive) allows commercial and private use, modification, and distribution with minimal restrictions—only requiring license and copyright notice inclusion.

Quickstart:

pip install solara-server

import solara

sentence = solara.reactive("Hello world")

@solara.component
def Page():
    solara.InputText(label="Text", value=sentence)
    solara.Markdown(f"You wrote: {sentence.value}")

Page()

Requires Python 3.8 or later. Running as a standalone server requires the solara-server command-line tool to be available after installation.

Verify before relying:

- Whether solara-ui (a runtime dependency) is maintained and stable, or if it introduces additional friction.
- Performance characteristics and scalability limits for production deployments with many concurrent users.
- Compatibility with specific Jupyter environments (JupyterLab, Colab, DataBricks) beyond the general claim in the description.

## Package facts

- License: The MIT License (MIT) Copyright (c) 2022 Maarten A. Breddels Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the… (full text in the JSON record) (permissive)
- Python support: supports_current
- Install friction: low
- Maintenance: active
- Downloads: 125.0K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

python react-like web framework, ipywidget web server, jupyter to web app, component-based python web apps, fastapi ipywidget framework, reactive python ui framework, jupyter notebook web deployment, jupyter-to-web, reactive-ui, component-framework

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