LabKit MATLAB Workbench

tutorial

Getting Started

This guide covers the shortest path from an empty folder to a running LabKit app. For source development, continue with the development guide.

Requirements

Production apps do not create Python or Conda environments, download model weights, or install third-party packages on first use.

Install And Launch

  1. Download the latest labkit_launcher.m.
  2. Put it in a standalone folder such as LabKit/.
  3. Open MATLAB in that folder.
  4. Run:
labkit_launcher

The launcher can install or update the runtime, discover available apps, and start the selected app. Keep experimental data and exported results outside the LabKit runtime folder. See the LabKit Launcher manual for every button, programmatic mode, discovery rule, and maintenance action.

Choose A Version

Before replacing an installed runtime, the launcher moves its current contents to a dated LabKit-previous-* folder. This provides a local recovery point but is not a substitute for backing up lab data.

Open An App

Select one row in the launcher and choose Open. The launcher prepares the MATLAB path, checks the app's LabKit version requirements, and displays startup progress until the app is ready.

Use the app catalog to choose a workflow and confirm its input and output formats.

Common App Commands

Every current LabKit app exposes one top-level Tools menu:

State files preserve app projects. They are different from exported result files and from ignored diagnostic manifests under artifacts/diagnostics/.

Source Checkout

Clone the repository only when you need source development, tests, profiling, or review:

git clone https://github.com/Pluze/LabKit-MATLAB-Workbench.git
cd LabKit-MATLAB-Workbench
buildtool headless

See Testing before choosing a broader build task.

Next Steps

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