PyWry — MCP Server by deeleeramone

by deeleeramone · MCP Server · ★ 90

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About PyWry

PyWry is a cross-platform rendering engine and desktop UI toolkit for Python. One API, three output targets: Native window — OS webview via PyTauri. Not Qt, not Electron. Use unrestricted HTML/CSS/JS. Jupyter widget — anywidget + FastAPI + WebSocket, works in JupyterLab, VS Code, and Colab. Browser tab — FastAPI server with Redis state backend for horizontal scaling. Build Once, Render Anywhere: Prototype interactive data apps in a Jupyter Notebook, easily deploy them as web apps, and seamlessly compile them into secure, lightweight standalone desktop executables via . Installation Python 3.10–3.14, virtual environment recommended. Core extras: | pip install 'pywry[sqlite

aggridanywidgetchat-applicationclaude-codeclaude-code-pluginclaude-skillsdashboarddeepagents-langgraphdesktopfullstack

Quick Facts

Stars90
Forks7
LanguagePython
CategoryMCP Server
LicenseApache-2.0
Quality Score70.5876153275168/100
Open Issues1
Last Updated2026-06-29
Created2026-02-01
Platformsbrowser, claude-code, mcp, python
Est. Tokens~15k

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Frequently Asked Questions

What is PyWry?

PyWry is PyWry is a cross-platform app factory, rendering engine and UI toolkit for Python that produces native desktop, web, and notebook experiences from a single API.. It is categorized as a MCP Server with 90 GitHub stars.

What programming language is PyWry written in?

PyWry is primarily written in Python. It covers topics such as aggrid, anywidget, chat-application.

How do I install or use PyWry?

You can find installation instructions and usage details in the PyWry GitHub repository at github.com/deeleeramone/PyWry. The project has 90 stars and 7 forks, indicating an active community.

What license does PyWry use?

PyWry is released under the Apache-2.0 license, making it free to use and modify according to the license terms.

What are the best alternatives to PyWry?

The top alternatives to PyWry on Agent Skills Hub include claude-emporium, ipybox, daymon. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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