3 रिपॉजिटरी
Native interfaces for executing automation tasks within Python testing and scripting pipelines.
Distinct from Python Scripting Environments: Distinct from Python Scripting Environments: focuses on the integration of automation frameworks into existing pipelines rather than general runtime support.
Explore 3 awesome GitHub repositories matching development tools & productivity · Automation Integrations. Refine with filters or upvote what's useful.
Midscene is a multimodal automation framework designed to enable AI agents to perceive, navigate, and manipulate graphical user interfaces across web, mobile, and desktop environments. By leveraging vision-capable AI models, the platform interprets interface screenshots to execute tasks based on natural language instructions, removing the reliance on traditional, brittle code-based selectors. The framework distinguishes itself through its ability to decompose high-level goals into autonomous, multi-step sequences that function consistently across diverse platforms. It provides a visual ground
Provides a native interface for Python developers to execute vision-driven automation tasks.
This project provides custom bootloaders and firmware specifically for Xiaomi camera hardware. These modifications unlock restricted system access and enable the execution of unofficial software on the embedded devices. The software implements event-driven motion scripting, which allows the device to automatically trigger external shell scripts when the hardware sensors detect movement in the camera's field of view. It also includes tools for connecting camera feeds and controls to third-party smart home platforms and surveillance management systems. The project covers the deployment of modi
Uses external scripts to programmatically respond to hardware motion data.
liquidctl is a command line interface and set of Python drivers used to monitor and control liquid cooling hardware. It functions as a liquid cooler controller, hardware telemetry tool, and RGB lighting controller, providing a unified way to manage temperatures, fan speeds, and pump rates for all-in-one and custom loop cooling systems. The project provides a Python hardware driver that enables programmatic control and telemetry collection without relying solely on the command line. It allows for the configuration of device lighting using standard RGB, HSV, and HSL formats. The system include
Enables the use of Python scripts and JSON exports to automate hardware settings and monitoring.