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!

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-2.0.0b1-py3-none-win_arm64.whl (22.6 MB view details)

Uploaded Python 3 Windows ARM64

MaaFw-2.0.0b1-py3-none-win_amd64.whl (24.2 MB view details)

Uploaded Python 3 Windows x86-64

MaaFw-2.0.0b1-py3-none-manylinux2014_x86_64.whl (19.9 MB view details)

Uploaded Python 3

MaaFw-2.0.0b1-py3-none-manylinux2014_aarch64.whl (16.8 MB view details)

Uploaded Python 3

MaaFw-2.0.0b1-py3-none-macosx_13_0_x86_64.whl (16.6 MB view details)

Uploaded Python 3 macOS 13.0+ x86-64

MaaFw-2.0.0b1-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-2.0.0b1-py3-none-win_arm64.whl.

File metadata

  • Download URL: MaaFw-2.0.0b1-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-2.0.0b1-py3-none-win_arm64.whl
Algorithm Hash digest
SHA256 25f3a5f11b3dc44ae75c8d4b5f20b2807a8d91fab4d921abb6a431aa73b38030
MD5 7f6452691376e59959617729eb1d28cb
BLAKE2b-256 6ed6e25447d29c3867c446971da654be6d3de704a64b177474e59ff7ac01bcd8

See more details on using hashes here.

File details

Details for the file MaaFw-2.0.0b1-py3-none-win_amd64.whl.

File metadata

  • Download URL: MaaFw-2.0.0b1-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-2.0.0b1-py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 bd3b10ca8f8c139430c1d752ac81ded137d79aaa0432ea052993f811cba568be
MD5 cfd7f0f2cba6ef1f9a08742c83f51ecd
BLAKE2b-256 fce59dd6faf437f61a6850db44cf25762074a6b7e6e5400fee5e53b5962515a6

See more details on using hashes here.

File details

Details for the file MaaFw-2.0.0b1-py3-none-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for MaaFw-2.0.0b1-py3-none-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 8e459b468043bb424843e53ad5f6f8fe2b33452eef39a1637bb8e9148161d6b5
MD5 3f5757b531c9e11369c958c3d3f5c5e1
BLAKE2b-256 b9f38f9485a935edae7159d778f491a246f0c1ea4a83493cb21808feb0d5da39

See more details on using hashes here.

File details

Details for the file MaaFw-2.0.0b1-py3-none-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for MaaFw-2.0.0b1-py3-none-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 8098153c62846151a6c9aa4e04c7b827cf1cd974558e63bb330f9c64536b3850
MD5 b74f84262bdff96660100a6cc8c3320a
BLAKE2b-256 69c425af4b1ebd1a6b0c9052c6667c00a7744889fe4165ea9effd2f1eeb17cfe

See more details on using hashes here.

File details

Details for the file MaaFw-2.0.0b1-py3-none-macosx_13_0_x86_64.whl.

File metadata

File hashes

Hashes for MaaFw-2.0.0b1-py3-none-macosx_13_0_x86_64.whl
Algorithm Hash digest
SHA256 105d64201628bc8f46ebf6b5dcabd1f8726e495ace5c5ee10aa59811429fc11e
MD5 d9db846e17682ec6dce8c8a4d8fc8b5d
BLAKE2b-256 10e855dcf176b61f43f4a1700f98e4a13cecda330bab024a41b0936f902e0e24

See more details on using hashes here.

File details

Details for the file MaaFw-2.0.0b1-py3-none-macosx_13_0_arm64.whl.

File metadata

File hashes

Hashes for MaaFw-2.0.0b1-py3-none-macosx_13_0_arm64.whl
Algorithm Hash digest
SHA256 92d4d9355cc5975477b272cd9bab3f793e9d37e3c451b3793bbd8cbf606c2c72
MD5 624f1aece17e55caae6e3c32a8b42cb2
BLAKE2b-256 3e970db16282d7619e3375555025cb432a59e25b4ed4379d7b8fe119b9e00914

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