Three related fixes to the drop progress toast: 1. Position the toast over the VM window's content (top-right, 44 pt below the titlebar) instead of floating outside above the window. This reverts the layout intent of the prior "float above" commit; the toast remains an NSPanel child-windowed to the VM window so it tracks z-order and movement. 2. Replace the broken slide-in animation with a fade-in. The previous animation called `panel.animator().setFrameOrigin(target)`, which is a silent no-op on NSWindow — the panel jumped to the off-screen-right start position and stayed there. Use `animator().alphaValue` instead, which is actually animatable on NSWindow. 3. Sync the "Done" text with the bar reaching 100%. NSProgressIndicator has an undocumented ~0.3 s smooth-fill animation when doubleValue jumps, so showing "Done" simultaneously with setting maxValue made the text lead the bar. Delay "Done" by 0.35 s and extend the hide delay to 1.05 s so "Done" still gets ~0.7 s of visibility. Also reset the bar in `hide` so a subsequent drop doesn't briefly flash the previous final state before resetting to 0. |
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| .github | ||
| Resources | ||
| Sources/tart | ||
| Tests/TartTests | ||
| benchmark | ||
| docs | ||
| integration-tests | ||
| scripts | ||
| .cirrus.yml | ||
| .editorconfig | ||
| .gitignore | ||
| .goreleaser.yml | ||
| .swiftformat | ||
| CONTRIBUTING.md | ||
| LICENSE | ||
| PROFILING.md | ||
| Package.resolved | ||
| Package.swift | ||
| README.md | ||
| actool.sh | ||
| gon.hcl | ||
| mkdocs.yml | ||
README.md
Tart is a virtualization toolset to build, run and manage macOS and Linux virtual machines (VMs) on Apple Silicon. Built by CI engineers for your automation needs. Here are some highlights of Tart:
- Tart uses Apple's own
Virtualization.Frameworkfor near-native performance. - Push/Pull virtual machines from any OCI-compatible container registry.
- Use Tart Packer Plugin to automate VM creation.
- Easily integrates with any CI system.
Tart powers Cirrus Runners service — a drop-in replacement for the standard GitHub-hosted runners, offering 2-3 times better performance for a fraction of the price.
Many companies are using Tart in their internal setups. Here are just a few of them:
Note: If your company or project is using Tart please consider sharing with the community.
Usage
Try running a Tart VM on your Apple Silicon device running macOS 13.0 (Ventura) or later (will download a 25 GB image):
brew install cirruslabs/cli/tart
tart clone ghcr.io/cirruslabs/macos-tahoe-base:latest tahoe-base
tart run tahoe-base
Please check the official documentation for more information and/or feel free to use discussions for remaining questions.