[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-6819":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":10,"language":11,"languages":10,"totalLinesOfCode":10,"stars":12,"forks":13,"watchers":14,"openIssues":15,"contributorsCount":16,"subscribersCount":16,"size":16,"stars1d":16,"stars7d":16,"stars30d":17,"stars90d":16,"forks30d":16,"starsTrendScore":16,"compositeScore":18,"rankGlobal":10,"rankLanguage":10,"license":19,"archived":20,"fork":20,"defaultBranch":21,"hasWiki":22,"hasPages":22,"topics":23,"createdAt":10,"pushedAt":10,"updatedAt":31,"readmeContent":32,"aiSummary":33,"trendingCount":16,"starSnapshotCount":16,"syncStatus":34,"lastSyncTime":35,"discoverSource":36},6819,"tart","cirruslabs\u002Ftart","cirruslabs","macOS and Linux VMs on Apple Silicon to use in CI and other automations","https:\u002F\u002Ftart.run",null,"Swift",5758,292,41,34,0,114,38.4,"Other",false,"main",true,[24,25,26,27,28,5,29,30],"apple-silicon","automation","ci","fair-source","macos","virtualization","virtualization-framework","2026-06-12 02:01:30","\u003Cimg src=\"https:\u002F\u002Fgithub.com\u002Fcirruslabs\u002Ftart\u002Fraw\u002Fmain\u002FResources\u002FTartSocial.png\"\u002F>\n\n*Tart* is a virtualization toolset to build, run and manage macOS and Linux virtual machines (VMs) on Apple Silicon.\nBuilt by CI engineers for your automation needs. Here are some highlights of Tart:\n\n* Tart uses Apple's own `Virtualization.Framework` for [near-native performance](https:\u002F\u002Fbrowser.geekbench.com\u002Fv5\u002Fcpu\u002Fcompare\u002F20382844?baseline=20382722).\n* Push\u002FPull virtual machines from any OCI-compatible container registry.\n* Use Tart Packer Plugin to automate VM creation.\n* Easily integrates with any CI system.\n\nTart powers [Cirrus Runners](https:\u002F\u002Fcirrus-runners.app\u002F)\nservice — a drop-in replacement for the standard GitHub-hosted runners, offering 2-3 times better performance for a fraction of the price.\n\n\u003Cp align=\"center\">\n  \u003Ca href=\"https:\u002F\u002Fcirrus-runners.app\u002F?utm_source=github&utm_medium=referral\" target=_blank>\n    \u003Cimg src=\"https:\u002F\u002Fgithub.com\u002Fcirruslabs\u002Ftart\u002Fraw\u002Fmain\u002FResources\u002FCirrusRunnersForGHA.png\" height=\"65\"\u002F>\n  \u003C\u002Fa>\n\u003C\u002Fp>\n\nMany companies are using Tart in their internal setups. Here are just a few of them:\n\n\u003Cp align=\"center\">\n  \u003Ca href=\"https:\u002F\u002Fatlassian.com\u002F\" target=_blank>\n    \u003Cimg src=\"https:\u002F\u002Fgithub.com\u002Fcirruslabs\u002Ftart\u002Fraw\u002Fmain\u002FResources\u002FUsers\u002FAtlassian.png\" height=\"65\"\u002F>\n  \u003C\u002Fa>\n  \u003Ca href=\"https:\u002F\u002Fwww.figma.com\u002F\" target=_blank>\n    \u003Cimg src=\"https:\u002F\u002Fgithub.com\u002Fcirruslabs\u002Ftart\u002Fraw\u002Fmain\u002FResources\u002FUsers\u002FFigma.png\" height=\"65\"\u002F>\n  \u003C\u002Fa>\n  \u003Ca href=\"https:\u002F\u002Fmullvad.net\u002F\" target=_blank>\n    \u003Cimg src=\"https:\u002F\u002Fgithub.com\u002Fcirruslabs\u002Ftart\u002Fraw\u002Fmain\u002FResources\u002FUsers\u002FMullvad.png\" height=\"65\"\u002F>\n  \u003C\u002Fa>\n  \u003Ca href=\"https:\u002F\u002Fkrisp.ai\u002F\" target=_blank>\n    \u003Cimg src=\"https:\u002F\u002Fgithub.com\u002Fcirruslabs\u002Ftart\u002Fraw\u002Fmain\u002FResources\u002FUsers\u002FKrisp.png\" height=\"65\"\u002F>\n  \u003C\u002Fa>\n  \u003Ca href=\"https:\u002F\u002Ftestingbot.com\u002F\" target=_blank>\n    \u003Cimg src=\"https:\u002F\u002Fgithub.com\u002Fcirruslabs\u002Ftart\u002Fraw\u002Fmain\u002FResources\u002FUsers\u002FTestingBot.png\" height=\"65\"\u002F>\n  \u003C\u002Fa>\n  \u003Ca href=\"https:\u002F\u002Fsymflower.com\u002F\" target=_blank>\n    \u003Cimg src=\"https:\u002F\u002Fgithub.com\u002Fcirruslabs\u002Ftart\u002Fraw\u002Fmain\u002FResources\u002FUsers\u002FSymflower.png\" height=\"65\"\u002F>\n  \u003C\u002Fa>\n  \u003Ca href=\"https:\u002F\u002Ftransloadit.com\u002F\" target=_blank>\n    \u003Cimg src=\"https:\u002F\u002Fgithub.com\u002Fcirruslabs\u002Ftart\u002Fraw\u002Fmain\u002FResources\u002FUsers\u002FTransloadit.png\" height=\"65\"\u002F>\n  \u003C\u002Fa>\n  \u003Ca href=\"https:\u002F\u002Fcirrus-ci.org\u002F\" target=_blank>\n    \u003Cimg src=\"https:\u002F\u002Fgithub.com\u002Fcirruslabs\u002Ftart\u002Fraw\u002Fmain\u002FResources\u002FUsers\u002FCirrusCI.png\" height=\"65\"\u002F>\n  \u003C\u002Fa>\n  \u003Ca href=\"https:\u002F\u002Fwww.pitsdatarecovery.net\u002F\" target=_blank>\n    \u003Cimg src=\"https:\u002F\u002Fgithub.com\u002Fcirruslabs\u002Ftart\u002Fraw\u002Fmain\u002FResources\u002FUsers\u002FPITSGlobalDataRecoveryServices.png\" height=\"65\"\u002F>\n  \u003C\u002Fa>\n  \u003Ca href=\"https:\u002F\u002Fexpo.dev\u002F\" target=_blank>\n    \u003Cimg src=\"https:\u002F\u002Fgithub.com\u002Fcirruslabs\u002Ftart\u002Fraw\u002Fmain\u002FResources\u002FUsers\u002FExpo.png\" height=\"65\"\u002F>\n  \u003C\u002Fa>\n\u003C\u002Fp>\n\n**Note:** If your company or project is using Tart please consider [sharing with the community](https:\u002F\u002Fgithub.com\u002Fcirruslabs\u002Ftart\u002Fdiscussions\u002F857).\n\n\u003Cp align=\"center\">\n  \u003Ca href=\"https:\u002F\u002Faws.amazon.com\u002Fmarketplace\u002Fpp\u002Fprodview-qczco34wlkdws?utm_source=github&utm_medium=referral\" target=_blank>\n    \u003Cimg src=\"https:\u002F\u002Fgithub.com\u002Fcirruslabs\u002Ftart\u002Fraw\u002Fmain\u002FResources\u002FAWSMarkeplaceLogo.png\" height=\"90\"\u002F>\n  \u003C\u002Fa>\n\u003C\u002Fp>\n\n## Usage\n\nTry running a Tart VM on your Apple Silicon device running macOS 13.0 (Ventura) or later (will download a 25 GB image):\n\n```bash\nbrew install cirruslabs\u002Fcli\u002Ftart\ntart clone ghcr.io\u002Fcirruslabs\u002Fmacos-tahoe-base:latest tahoe-base\ntart run tahoe-base\n```\n\nPlease check the [official documentation](https:\u002F\u002Ftart.run) for more information and\u002For feel free to use [discussions](https:\u002F\u002Fgithub.com\u002Fcirruslabs\u002Ftart\u002Fdiscussions)\nfor remaining questions.\n","Tart 是一个用于在 Apple Silicon 设备上构建、运行和管理 macOS 和 Linux 虚拟机的工具集。它基于苹果自家的 Virtualization.Framework 开发，提供接近原生的性能表现，并支持从任何 OCI 兼容的容器注册表推送\u002F拉取虚拟机镜像。此外，Tart 还提供了 Packer 插件以自动化创建虚拟机的过程，并能轻松集成到各种持续集成系统中。该项目特别适用于需要在 M1\u002FM2 等 ARM 架构 Mac 上进行软件开发测试或持续集成部署的企业及个人开发者，能够显著提升 CI\u002FCD 流程效率。",2,"2026-06-01 03:03:05","top_language"]