Cross-platform window management for Python. Discover, control, and monitor any open window on your desktop — across Windows, macOS, and Linux — with a single, unified API.
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Updated
Jun 26, 2026 - Python
Cross-platform window management for Python. Discover, control, and monitor any open window on your desktop — across Windows, macOS, and Linux — with a single, unified API.
Spacer with Mouse gestures for the KDE Plasma Panel featuring Latte Dock/Gnome/Unity drag window gesture. Run any shortcut, command, application or URL/file with up to ten configurable mouse actions.
A javascript-only Window Manager
This version extend from cudaminer which is the fastest Litecoin miner for NVIDIA GPUs. I customize code to run cuda on maximum GPU performance
Minimize and Maximize Puppeteer Browser in Real Time!
Sample code to demonstrate how to set your .NET MAUI Windows app to fullscreen and toggle the minimize and maximize buttons
Multi-period Home Healthcare Routing Problem (HHCRP) with qualification, synchronization and time windows constraints.
This example will show you how to remove the Windows title bar and replace it with a custom title bar. The custom title bar will contain buttons for minimize, maximize, window, and close. As of 1/28/2020, Kivy's framework does not provide support for creating a custom title bar on its own without special modifications to the source code.
MaxCut SS
An Evolutionary Algorithm written in JavaScript that can take in any generic module representing a problem to be optimized
Solve Optimization Methods using Simplex Methods in Linear Programming
Koi utilizes Bellman-Ford Algorithm to maximize ratio for connecting reward programs and determine transfer strategy for users. User can edit program balances within profile on the webapp, simulate transfers, and view transaction history.
Allow the renderer to close, minimize and maximize the window (for desktop Electron)
Allow the renderer to get information about the version of Electron, Chrome and NodeJS used
This repository contains the project files for solving the Warehouse Location Problem using mathematical modeling and optimization techniques. The project includes the OPL model file and the data file necessary for running the optimization.
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