Running LabVIEW in Headless Run Mode
- 已更新2026-07-27
- 閱讀時間為 2 分鐘
You can launch LabVIEW in Headless Run mode, a non-interactive execution mode designed for executing code or operations without human interaction.
- Running LabVIEW in a container or remote runner that does not have a user interface.
- Executing automated workflows like automated unit testing or mass compilation.
- Integrating LabVIEW into continuous integration/continuous delivery (CI/CD) workflows where operations must execute without user interaction.
- Headless Run mode allows you to run LabVIEW without requiring license activation.
- Headless Run mode suppresses the LabVIEW UI when you launch LabVIEW. This prevents errors and UI prompts that typically require user input from interrupting automated workflows. It also prevents users from editing VIs using the LabVIEW IDE.
- Launch LabVIEW in Headless Run mode using LabVIEWCLI by adding
the -Headless argument to your
command.
LabVIEWCLI -OperationName <Operation> \ <other-arguments> \ -Headless
- Launch LabVIEW in Headless Run mode using the command line using
the following
command:
labview.exe --headless
When running in Headless Run mode, LabVIEW does not stop execution for errors. Instead, LabVIEW automatically logs errors in the temp folder and continues trying to execute tasks or code.
NI provides prebuilt LabVIEW container images for both Windows and Linux on Docker Hub, as well as Dockerfiles for users that need to add custom functionality to their containerized LabVIEW implementation. Consult the LabVIEW for Containers GitHub page and the container image overview on Docker Hub for more information on setting up a container for headless LabVIEW operation.
相關內容
- LabVIEW Development and Continuous Integration and Continuous Delivery/Deployment
You can enhance a source control system by adopting a continuous integration and continuous delivery/deployment (CI/CD) model for LabVIEW development. CI/CD helps you manage development risk by supporting frequent, manageable code contributions and automatically building your applications.
- Headless LabVIEW - GitHub
- Running Operations Using the Command Line Interface for LabVIEW
- LabVIEW for Containers - GitHub
- LabVIEW Container Image - Docker Hub