MaaFramework

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MaaFramework is an open-source black-box testing framework that uses image recognition for automation. It offers a low-code approach with high extensibility, enabling developers to create robust testing programs.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is MaaFramework?

MaaFramework is a next-generation, open-source automation black-box testing framework built upon image recognition technology. It leverages the development experience from MAA to provide a refined and powerful solution. Designed for both low-code implementation and high extensibility, MaaFramework aims to be a comprehensive, cutting-edge, and practical library that empowers developers to easily write superior black-box testing programs and promote their widespread adoption. The framework supports GPU acceleration on Windows via DirectML and offers a wide range of community projects, including various GUIs, development tools like debuggers and pipeline editors, and applications for automating tasks in popular games and learning platforms.

Best used for

Ideal for developers who need to automate black-box testing, build custom testing applications, and integrate image recognition into their workflows. Especially valuable for creating automated assistants for games and other applications requiring simulated user interaction.

Common actions

automate testing

develop test frameworks

recognize images

simulate user input

github copilotface swapping"AI Agents"collaborationworkflowsdeepfakeautomated workflowlow-code/no-codeopen-source

Capabilities

Key features

Image recognition automation
Black-box testing framework
Low-code development
High extensibility
GPU acceleration
Pipeline debugging
Visual pipeline editing

Target Audience

developer

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What is the primary technology behind MaaFramework?

MaaFramework primarily utilizes image recognition technology to enable automation for black-box testing. This allows the framework to interact with applications by visually identifying elements and simulating user inputs, making it suitable for a wide range of testing and automation scenarios.

Does MaaFramework support GPU acceleration?

Yes, MaaFramework supports GPU acceleration, particularly on Windows platforms, by leveraging Microsoft's DirectML component. This enhances performance for image recognition tasks. Users can opt to remove the DirectML.dll file if GPU acceleration is not required, and the core functionality will remain intact.

What kind of projects can be built with MaaFramework?

MaaFramework can power a variety of projects, including general-purpose GUIs (like MFAAvalonia, MFW-CFA), development tools (such as MaaDebugger, MaaPipelineEditor), and specific applications for automating tasks in games (e.g., Arknights, Honkai Impact 3rd) and learning platforms.

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AI Agents & Automation › RPA

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