Controlling Keithley DMM6500 with Python

Python-based desktop application is a comprehensive Automatic Test Equipment (ATE) tool designed for electronics engineers and technicians working with the Keithley DMM6500 digital multimeter. It provides a user-friendly interface for precise voltage and current measurement sequences, live plotting, and real-time data analysis.

You can find my code here: GitHub

Main GUI:

Sequence settings:
You can choose to measure only voltage or current, or measure voltage first and then current. This includes setting the Duration and Intervals.

Raw Data:

Video:

Connection diagram:

Key Features:

  • Multi-phase Measurement Sequences: Supports voltage-first, current-first, alternating, or single-phase sequences with configurable cycles, durations, and intervals.
  • Selectable Ranges & Autoranging: Users can choose specific voltage or current ranges or enable auto ranging for fully automated measurement control.
  • Live Data Visualization: Real-time plotting of measurements with auto-scaling and clear axis labeling.
  • Interactive Dashboard: Displays live readings, phase indicators, and summary cards showing min, max, and average values for quick diagnostics.
  • Data Logging & Export: Records all measurement data in human-readable format and allows exporting to CSV for post-analysis.
  • Threaded & Responsive: Multi-threaded design ensures smooth GUI interaction even during continuous measurements.
  • CustomTkinter Interface: Clean, modern, and theme-switchable GUI with responsive layouts for dashboards, controls, and logs.
  • Event Logging: Full event logging with timestamped messages for traceability and debugging.

This tool is ideal for R&D, production, and quality assurance environments, enabling rapid, repeatable measurements with visual insights and automated record-keeping. It demonstrates a practical combination of instrument control via PyVISA, Python GUI development, and real-time data visualization for professional electronics testing applications.