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Tart is a virtualization toolset to build, run and manage macOS and Linux virtual machines on Apple Silicon.

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_Native performance

          Tart is using Apple’s native
          Virtualization.Framework that was developed along with
          architecting the first M1 chip. This seamless integration
          between hardware and software ensures smooth performance without
          any drawbacks._

_Remote storage for Virtual Machines

          For storing virtual machine images Tart integrates with
          OCI-compatible container registries. Work with virtual machines as
          you used to with Docker containers._

_Seamless integration with your existing automations

          Tart integrates with many continuous integration systems, including a dedicated
          service of on-demand GitHub Actions Runners. With a single line change, you can cut your
          CI/CD costs by up to 30 times by using Cirrus
          Runners
          to run your workflows._

_Run at scale with Orchard

          Tart toolset includes Orchard Orchestration — tool to run and manage Tart virtual
          machines at scale on a cluster of Apple Silicon hosts. An Orchard Cluster exposes a simple REST API to
          manage thousands virtual machines. Orchard CLI allows accessing remote virtual machines like they run
          locally._

With more than 25,000 installations to date, Tart has been adopted for various scenarios. Its applications range from powering CI/CD pipelines and reproducible local development environments, to helping in the testing of device management systems without actual physical devices.

_Mikhail Tokarev, CTO at Codemagic

          Thanks to the minimal overhead of using the Apple Virtualization
          API, we’ve seen some performance improvements in booting new
          virtual machines compared with Anka._

_Infrastructure Team at Expo

          Tart was the practical way for us to use the Virtualization framework. Cirrus Labs’
          continued maintenance and support gives us confidence, and it is also important for us
          to be able to read the source code when we need to understand an abstraction layer below._

_Red Team at Snowflake

          The Snowflake Red Team had a need for macOS CI/CD and a segmented macOS development
          environment. We solved this problem and shared our implementation with macOS EC2 and Tart.
          We also automated this process with Terraform/Packer to simplify the deployment of our
          infrastructure and machine images._

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