Performant Python environment tooling and support, such as locating all global Python installs and virtual environments.
This project will be consumed by the Python extension directly. You can find the code to consume pet in the Python extension source code. For more information on JSNORPC requests/notifications for this tool, please reference /docs/JSONRPC.md.
- python.org
- Windows Store
- PyEnv
- PyEnv-Win
- PyEnv-Virtualenv
- Conda
- Miniconda
- Miniforge
- PipEnv
- Homebrew
- VirtualEnvWrapper
- VirtualEnvWrapper-Win
- Venv
- VirtualEnv
- Python on your PATH
- Discovery of all global Python installs
- Discovery of all Python virtual environments
Our approach prioritizes performance and efficiency by leveraging Rust. We minimize I/O operations by collecting all necessary environment information at once, which reduces repeated I/O and the need to spawn additional processes, significantly enhancing overall performance.
If you're experiencing issues with Python interpreter detection in VS Code (such as the Run button not working, Python not being recognized, or interpreters not persisting), you can use PET to diagnose the problem.
PET can be run directly from the command line to discover all Python environments on your system. This helps identify whether the issue is with environment discovery or elsewhere.
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Download or build PET:
- Download pre-built binaries from the releases page
- Or build from source:
cargo build --release
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Run PET to find all environments:
# On Linux/macOS ./pet find --list --verbose # On Windows pet.exe find --list --verbose
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Share the output with maintainers when reporting issues
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Find all Python environments (default behavior):
pet
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Find all environments with detailed logging:
pet find --list --verbose
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Find all environments and output as JSON:
pet find --json
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Search only in workspace/project directories:
pet find --list --workspace
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Search for a specific environment type (e.g., Conda):
pet find --list --kind conda
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Resolve a specific Python executable:
pet resolve /path/to/python
The output includes:
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Discovered Environments: List of Python installations found, including:
- Type (Conda, Venv, System Python, etc.)
- Executable path
- Version
- Prefix (sys.prefix)
- Architecture (x64/x86)
- Symlinks
-
Timing Information: How long each locator took to search
-
Summary Statistics: Count of environments by type
When reporting Python detection issues, please include:
- The full output from running
pet find --list --verbose - Your operating system and version
- VS Code and Python extension versions
- Description of the issue
This information helps maintainers diagnose whether the problem is with PET's discovery logic or elsewhere in the VS Code Python extension.
This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.
When you submit a pull request, a CLA bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.
This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.
This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft trademarks or logos is subject to and must follow Microsoft's Trademark & Brand Guidelines. Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship. Any use of third-party trademarks or logos are subject to those third-party's policies.