Docker-OSX
53,008
Stars
2,877
Forks
436
Watchers
419
Open Issues
GPL-3.0
许可证
Shell
语言
2020-06-04
创建时间
2025-11-11
最近更新
项目能做什么
在 Docker 中运行接近原生性能的 macOS 虚拟机,支持 X11 转发与安全研究 CI/CD。
来源:基于仓库元数据
· 内容以仓库实际 README 为准
使用说明 查看原始 README 原仓库文档
中文使用说明暂未生成。下面保留原仓库 README 摘录,命令与配置均以原文为准。
原始 README 摘录(英文原文,节选前 3000 字符)
# Docker-OSX · [Follow @sickcodes on Twitter](https://twitter.com/sickcodes)

Run Mac OS X in Docker with near-native performance! X11 Forwarding! iMessage security research! iPhone USB working! macOS in a Docker container!
Conduct Security Research on macOS using both Linux & Windows!
# Docker-OSX now has a Discord server & Telegram!
The Discord is active on #docker-osx and anyone is welcome to come and ask questions, ideas, etc.
<p align="center">
<a href="https://hub.docker.com/r/sickcodes/docker-osx"><img src="https://dockeri.co/image/sickcodes/docker-osx"/></a><a href="https://discord.gg/sickchat"><a href="https://discord.gg/sickchat" target="_blank"><img src="https://raw.githubusercontent.com/sickcodes/Docker-OSX/master/discord-logo.svg"></a></a>
</p>
### Click to join the Discord server [https://discord.gg/sickchat](https://discord.gg/sickchat)
### Click to join the Telegram server [https://t.me/sickcodeschat](https://t.me/sickcodeschat)
Or reach out via Linkedin if it's private: [https://www.linkedin.com/in/sickcodes](https://www.linkedin.com/in/sickcodes)
Or via [https://sick.codes/contact/](https://sick.codes/contact/)
## Author
This project is maintained by [Sick.Codes](https://sick.codes/). [(Twitter)](https://twitter.com/sickcodes)
Additional credits can be found here: https://github.com/sickcodes/Docker-OSX/blob/master/CREDITS.md
Additionally, comprehensive list of all contributors can be found here: https://github.com/sickcodes/Docker-OSX/graphs/contributors
Big thanks to [@kholia](https://twitter.com/kholia) for maintaining the upstream project, which Docker-OSX is built on top of: [OSX-KVM](https://github.com/kholia/OSX-KVM).
Also special thanks to [@thenickdude](https://github.com/thenickdude) who maintains the valuable fork [KVM-OpenCore](https://github.com/thenickdude/KVM-Opencore), which was started by [@Leoyzen](https://github.com/Leoyzen/)!
Extra special thanks to the OpenCore team over at: https://github.com/acidanthera/OpenCorePkg. Their well-maintained bootloader provides much of the great functionality that Docker-OSX users enjoy :)
If you like this project, consider contributing here or upstream!
## Quick Start Docker-OSX
Video setup tutorial is also available here: https://www.youtube.com/watch?v=wLezYl77Ll8
**Windows users:** [click here to see the notes below](#id-like-to-run-docker-osx-on-windows)!
<p align="center">
<a href="https://www.youtube.com/watch?v=wLezYl77Ll8" target="_blank"><img src="https://raw.githubusercontent.com/sickcodes/Docker-OSX/master/Youtube-Screenshot-Docker-OSX-Setup.png"></a>
</p>
First time here? try [initial setup](#initial-setup), otherwise try the instructions below to use either Catalina or Big Sur.
## Any questions, ideas, or just want to hang out?
# [https://discord.gg/sickchat](https://discord.gg/sickchat)
Release names and their version:
### Cata
阅读完整原文
商业机会分析 规则生成(AI 未配置)
综合评分 54.1 分。该项目在“个人可实施性”维度得 45 分,“付费可能性”维度得 35.0 分,差异化空间 70.0 分(评分依据见评分卡)。
一键部署托管 / 代部署服务
| 产品构想 | 为不想自己折腾的用户提供在线实例或代部署。 |
| 目标用户 | 非技术背景的目标用户 |
| 难度/周期 | 低~中 · 1~2 周 |
| 收费模式 | 按次收费或按月托管费 |
| 竞争风险 | 客单价低,需控制人力成本 |
| 依据 | 数据支持的判断:项目支持 Docker 部署 |
面向细分需求的二次开发产品
| 产品构想 | 基于 Docker-OSX 的核心能力,聚焦一个更窄的场景(如某平台、某行业)做差异化。 |
| 目标用户 | 该细分场景用户 |
| 难度/周期 | 中 · 2~6 周 |
| 收费模式 | 买断制 / 订阅制 / 广告 |
| 竞争风险 | 细分需求规模需验证 |
| 依据 | AI 推测:基于项目主题标签的判断 |
以上为规则引擎基于仓库公开数据生成的参考结论,包含推测成分,不构成投资或创业承诺;配置 AI 后可获得更深入的分析。
报告会保存到 个人中心
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以上为通过 GitHub 官方 Search API 检索的相似项目,功能差异与优劣势需进一步人工确认,配置 AI 后可生成对比分析。
项目优势与风险
| 技术成熟度 | 创建于 2020-06-04,最近推送 2025-11-11 |
| 社区活跃 | Star 53,008 / Fork 2,877 / Issue 419(数据支持,可自行核实) |
| 许可证 | GPL-3.0 商用需注意传染性条款 |
| 主要风险 | 上游项目方向可能变化;同赛道竞争者较多(见竞品表);热度与需求不完全等价 |
安装与使用
快速开始(以仓库 README 为准)
git clone https://github.com/sickcodes/Docker-OSX.git cd Docker-OSX # 请阅读仓库 README 获取确切安装步骤(依赖、配置、启动命令)
术语说明:Docker=应用容器(把程序和依赖打包运行);API Key=调用外部服务的密钥;Git Clone=把仓库代码下载到本地。常见错误:API Key 未配置 / 端口占用 / 数据库连接失败,多数项目在 README 的 Troubleshooting 章节有说明。