--- id: multipyvu version: "3.6.1" license: MIT license_treatment: permissive maintenance: aging --- # MultiPyVu — Control MultiVu using Python License: permissive · Maintenance: aging · Downloads: 91.9K/mo ## What it is and what it does MultiPyVu is a Python interface to Quantum Design's MultiVu software, enabling programmatic control of cryogenic instruments such as PPMS, DynaCool, VersaLab, MPMS3, and OptiCool. It exposes methods to set and read temperature, magnetic field, and chamber parameters, check stability conditions, and save or load experimental data in MultiVu's native .dat format (as Pandas DataFrames). The package supports both local operation on the same PC as MultiVu and remote operation over TCP from a different machine (including Mac, Linux, or Raspberry Pi). The module is built on four runtime dependencies: pandas (for data handling), pywin32 (Windows integration), pillow (GUI support), and pyyaml (logging). It includes a GUI launcher and scaffolding mode for testing without hardware. Maintenance is aging—the last release was 351 days ago—so updates and bug fixes may be slower than in actively developed packages. Use it for: - Automate temperature and field sweeps in materials science experiments without manual MultiVu interaction. - Integrate cryostat control with external measurement instruments via a single Python script and unified data file. - Run experiments remotely from a different PC or Raspberry Pi connected to the control computer over TCP. - Programmatically wait for thermal or magnetic stability before triggering downstream measurements. - Batch-process and plot MultiVu .dat files as Pandas DataFrames for post-experiment analysis. ## Worth the install? AI-flagged interpretation of the facts above — verify before relying. MultiPyVu provides Python control over Quantum Design cryostat instruments (PPMS, DynaCool, VersaLab, MPMS3, OptiCool) to set and read temperature, magnetic field, and chamber status, with local or remote TCP operation and data file integration. Yes, if you own or have access to a Quantum Design cryostat and need Python automation. The package is stable, has no known vulnerabilities, and low install friction. However, the aging maintenance status (351 days since last release) means you should expect slower bug fixes and be prepared to work around issues independently. Not relevant for users without compatible hardware. ## Install pip install multipyvu uv add multipyvu poetry add multipyvu ## Installing MultiPyVu Before you install: Low install friction with a pure-Python wheel. Maintenance status is aging—last release was 351 days ago—so expect slower response to issues, though the package remains functional for its narrow use case. License in practice: MIT license is permissive; you may use, modify, and distribute this package freely with minimal restrictions. Quickstart: pip install MultiPyVu from MultiPyVu import Server, Client server = Server() client = Client(host='localhost') temp = client.get_temperature() print(f'Current temperature: {temp}') Requires MultiVu executable running on the control PC (or scaffolding mode with -s flag for testing without hardware); pywin32 version 300 or higher is a hard dependency. Verify before relying: - Whether remote operation over TCP works reliably across different network configurations and firewall setups. - Current state of community support and response time for bug reports or feature requests. - Compatibility with recent versions of pywin32 beyond 300 and any breaking changes in pandas or pyyaml. ## Package facts - License: MIT (permissive) - Python support: supports_current - Install friction: low - Maintenance: aging - Downloads: 91.9K/month (top 15,000 on PyPI) - Known vulnerabilities: none known ## Tags quantum design cryostat control, PPMS temperature field control, MultiVu python interface, cryogenic instrument automation, remote cryostat operation, MPMS3 DynaCool control, laboratory equipment python api, cryogenic-control, laboratory-automation, quantum-design [View on SkillFed](https://skillfed.io/packages/multipyvu) · [View on PyPI](https://pypi.org/project/multipyvu/)