This project is an Android RPA framework designed for automating user interfaces and system tasks on rooted Android devices using Python and ADB. It provides a suite of tools for rooted device management, allowing for programmatic control of system settings, application lifecycles, and shell command execution via a remote API.
Principalele funcționalități ale firerpa/lamda sunt: Dynamic Instrumentation Injections, Traffic Proxying and Interception, ADB Command-Line App Controls, Remote RPC Exposure, Internal Application Interfaces, Mobile Remote Input Control, WebSocket Control Protocols, Privileged Shell Executions.
Alternativele open-source pentru firerpa/lamda includ: openatx/uiautomator2 — uiautomator2 is an Android device automation tool and UI testing library. It functions as a framework for automating… supermonster003/autojs6 — AutoJs6 is an Android automation framework and JavaScript runtime designed to automate user interface interactions and… requestly/requestly. mock-server/mockserver-monorepo — This project is a multi-protocol API simulation and mocking system designed to replace external dependencies during… kevwan/tproxy — Tproxy is a set of command-line utilities designed for throttling bandwidth, simulating network latency, proxying TCP… dstotijn/hetty — Hetty is an HTTP intercepting proxy and web security research toolkit used to capture, inspect, and modify traffic…
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AutoJs6 is an Android automation framework and JavaScript runtime designed to automate user interface interactions and system tasks on mobile devices. It functions as a UI automator that inspects screen hierarchies and manipulates on-screen controls via selectors to automate manual workflows. The project includes an Android script compiler that bundles automation scripts into standalone APK files for distribution. It also provides a remote debugging tool that creates a network-based bridge between a mobile device and a desktop IDE for writing and testing scripts. The framework covers a broad
This project is a multi-protocol API simulation and mocking system designed to replace external dependencies during development and testing. It provides an API mocking server, a network traffic proxy, and specialized simulators for language model services and identity providers. The system distinguishes itself through deep AI simulation capabilities, including the emulation of language model providers and Model Context Protocol servers using JSON-RPC 2.0. It supports multi-turn conversational logic, state tracking for AI chat APIs, and the visualization of agent execution through call graphs