Skip to main content

An automation black-box testing framework based on image recognition

Project description

LOGO

MaaFramework

✨ 基于图像识别的自动化黑盒测试框架 ✨

license C++ platform commit stars

简介

MaaFramework 是基于图像识别技术、运用 MAA 开发经验去芜存菁、完全重写的新一代自动化黑盒测试框架。

低代码的同时仍拥有高扩展性,旨在打造一款丰富、领先、且实用的开源库,助力开发者轻松编写出更好的黑盒测试程序,并推广普及。

即刻开始

最佳实践

  • M9A 1999 小助手 Pipeline
    基于全新架构的 亿韭韭韭 小助手。图像技术 + 模拟控制,解放双手!由 MaaFramework 强力驱动!

  • MAABH3 《崩坏3》小助手 | A one-click tool for the daily tasks of Honkai Impact. cpp
    基于全新架构的 蹦蹦蹦 小助手。图像技术 + 模拟控制,解放双手!由 MaaFramework 强力驱动!

  • MAALimbusCompany 边狱公司 小助手 Pipeline
    基于全新架构的 边狱公司 小助手。图像技术 + 模拟控制,解放双手!由 MaaFramework 强力驱动!

  • MBA BA 小助手 csharp
    基于 MAA 全新架构的 BA 小助手。图像技术 + 模拟控制,解放双手,不再点点点!由 MaaFramework 强力驱动!

  • MAS 森空岛 小助手 Pipeline
    基于全新架构的 森空岛 小助手。图像技术 + 模拟控制,解放双手!由 MaaFramework 强力驱动!

  • MRA 雷索纳斯 列车长 小助手 Rust Tauri
    基于全新架构的 列车长 小助手。图像技术 + 模拟控制,解放双手!由 MaaFramework 强力驱动!

  • MaaHatsuboshiTA 学院偶像大师 初星助教 Pipeline
    基于全新架构的制作人代肝工具,养肝护眼 + 节省时间,出轨美铃! 由 MaaFramework 强力驱动!

  • MCCA 交错战线 小助手 Pipeline
    基于全新架构的 交错战线 小助手。图像技术 + 模拟控制,解放双手!由 MaaFramework 强力驱动!

  • MSBA 分析员 小助手 Pipeline
    基于全新架构的 尘白禁区 小助手。图像技术 + 模拟控制,解放双手!由 MaaFramework 强力驱动!

  • MaaAeonFantasy 星神少女 预言之子 小助手 Pipeline
    基于全新架构的 星神少女 小助手。图像技术 + 模拟控制,让手去做它该做的事!由 MaaFramework 强力驱动!

  • maa-whmx 物华弥新 小助手 cpp qt
    基于全新架构的 物华弥新 小助手。图像技术 + 模拟控制,解放双手!由 MaaFramework 强力驱动!

  • MAA-for-Millennium-Tour 千年之旅 小助手 Pipeline python
    基于全新架构的 千年之旅 小助手。图像技术 + 模拟控制,解放侍主的大手!由 MaaFramework 强力驱动!

  • MFAWPF MFA 任务管理器 csharp
    基于 MAA 全新架构的 通用 GUI。由 MaaFramework 强力驱动!

  • MET 悠久之树 小助手 Pipeline
    基于全新架构的 悠久之树 小助手。图像技术 + 模拟控制,解放双手!由 MaaFramework 强力驱动!

生态共建

MAA 正计划建设为一类项目,而非舟的单一软件。

若您的项目依赖于 MaaFramework ,我们欢迎您将它命名为 MaaXXX, MXA, MAX 等等。当然,这是许可而不是限制,您也可以自由选择其他与 MAA 无关的名字,完全取决于您自己的想法!

同时,我们也非常欢迎您提出 PR ,在上方的最佳实践列表中添加上您的项目!

许可证

MaaFramework 采用 LGPL-3.0 许可证进行开源。

开发

请留意,仅当您准备开发 MaaFramework 本身时,才需要阅读本章节内容。若您仅希望基于 MaaFramework 开发自己的应用,则请参考 即刻开始

鸣谢

开源库

  • opencv
    Open Source Computer Vision Library
  • fastdeploy
    ⚡️An Easy-to-use and Fast Deep Learning Model Deployment Toolkit for ☁️Cloud 📱Mobile and 📹Edge. Including Image, Video, Text and Audio 20+ main stream scenarios and 150+ SOTA models with end-to-end optimization, multi-platform and multi-framework support.
  • onnxruntime
    ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
  • boost
    Boost provides free peer-reviewed portable C++ source libraries.
  • meojson
    A modern all-platform Json/Json5 parser/serializer, which is header-only and used magic!
  • minitouch
    Minimal multitouch event producer for Android.
  • maatouch
    Android native implementation of minitouch input protocol
  • minicap
    Stream real-time screen capture data out of Android devices.
  • zlib
    A massively spiffy yet delicately unobtrusive compression library.
  • gzip-hpp
    Gzip header-only C++ library
  • protobuf
    Protocol Buffers - Google's data interchange format
  • grpc
    The C based gRPC (C++, Python, Ruby, Objective-C, PHP, C#)
  • thrift
    Apache Thrift

开发者

感谢以下开发者对 MaaFramework 作出的贡献:

讨论

  • 集成/开发交流 QQ 群: 595990173

赞助

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

MaaFw-2.0.0-py3-none-win_arm64.whl (22.6 MB view details)

Uploaded Python 3 Windows ARM64

MaaFw-2.0.0-py3-none-win_amd64.whl (24.2 MB view details)

Uploaded Python 3 Windows x86-64

MaaFw-2.0.0-py3-none-manylinux2014_x86_64.whl (19.9 MB view details)

Uploaded Python 3

MaaFw-2.0.0-py3-none-manylinux2014_aarch64.whl (16.8 MB view details)

Uploaded Python 3

MaaFw-2.0.0-py3-none-macosx_13_0_x86_64.whl (16.6 MB view details)

Uploaded Python 3 macOS 13.0+ x86-64

MaaFw-2.0.0-py3-none-macosx_13_0_arm64.whl (13.8 MB view details)

Uploaded Python 3 macOS 13.0+ ARM64

File details

Details for the file MaaFw-2.0.0-py3-none-win_arm64.whl.

File metadata

  • Download URL: MaaFw-2.0.0-py3-none-win_arm64.whl
  • Upload date:
  • Size: 22.6 MB
  • Tags: Python 3, Windows ARM64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.12

File hashes

Hashes for MaaFw-2.0.0-py3-none-win_arm64.whl
Algorithm Hash digest
SHA256 490c71dfe3c128700303fa9f3dd2f3fe862c8554748493415d6e30cd27a6d63c
MD5 d51fdebda5b26553b784252873c9dc07
BLAKE2b-256 714629521bb5290f1941421f7c7e91f82911c2c4a2d2a7c8b1bc0445a5dd8310

See more details on using hashes here.

File details

Details for the file MaaFw-2.0.0-py3-none-win_amd64.whl.

File metadata

  • Download URL: MaaFw-2.0.0-py3-none-win_amd64.whl
  • Upload date:
  • Size: 24.2 MB
  • Tags: Python 3, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.12

File hashes

Hashes for MaaFw-2.0.0-py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 1c8103d27ac7d7fb74050b8252d0d3271593a33c12713c524e52d06e27451a7f
MD5 3c52cce139218a33426c714571c3cd32
BLAKE2b-256 a3e17563362fa24c9dff6d38c4249a42559466541c172ae151c869dee6f78a79

See more details on using hashes here.

File details

Details for the file MaaFw-2.0.0-py3-none-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for MaaFw-2.0.0-py3-none-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 3c6be59ed8e046a9f073e211d36a0f973534c2d070932c5b3f35dff3d70f562d
MD5 5414119b60c6d4dc32f00279f0b71173
BLAKE2b-256 02103d2f658a027b7895a4e1dd854e9f1081ae32cfcd1752c4e234c0a3580bf9

See more details on using hashes here.

File details

Details for the file MaaFw-2.0.0-py3-none-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for MaaFw-2.0.0-py3-none-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 48c64cb2c4b9ba734120229da4dfd85f36bb7f476469cb68c43ca17a0bb33a8d
MD5 d52ba03c99afa1dbdec1ed616bb9bc94
BLAKE2b-256 e1c9cf3ecbebbaebae957f9064f2924b41c65a20b5ec9bc75af14edb3dbadb9a

See more details on using hashes here.

File details

Details for the file MaaFw-2.0.0-py3-none-macosx_13_0_x86_64.whl.

File metadata

File hashes

Hashes for MaaFw-2.0.0-py3-none-macosx_13_0_x86_64.whl
Algorithm Hash digest
SHA256 824cc1cec4c66dd499caa67b2c8f0a8aec3c5858a8c4adabd7bb0fc7bd26a8dd
MD5 baa35243e0dca4e92416ef60bd3683c4
BLAKE2b-256 86ee9a3f1329a4b98a6509ca80cbcf7c93a63a807ee6112af021b959dfbfede8

See more details on using hashes here.

File details

Details for the file MaaFw-2.0.0-py3-none-macosx_13_0_arm64.whl.

File metadata

File hashes

Hashes for MaaFw-2.0.0-py3-none-macosx_13_0_arm64.whl
Algorithm Hash digest
SHA256 31cf5c52b1cf0f6ba464e5bfda1ca69662d16e0842873b4fb99a876fc5bfc324
MD5 6029bbd24056cbc9eefe4f782b25a862
BLAKE2b-256 d1f24d4090555cc2cd744f1e87b69560013df8744998bf39b74596fb86ec1ba8

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page