Python API

Take control of your Moku hardware with Python. The Python API is compatible with Python scripting and live environments, making it easy to start interacting with your Moku device right away.

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Integrate with Python

There is no limit to what you can do with Python integration for Moku hardware, from real-time interfacing to automated control. Take advantage of the wide array of open-source libraries to further expand your applications.

Interact in real time

Write and share scripts for repeatable automation, or command your Moku hardware live, to record and analyze your data all in a single place by partnering our Python API with Jupyter.

Automated control

The Python API takes Moku hardware to the next level, turning it into an automated test, measurement, and control device for your lab. Python integration enables your Moku to automatically:

Switch instruments
Acquire and process measurements in real-time
Save data logs/metadata for post-processing
Generate output signals to control your system

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Open-source integration

Add depth to your Moku applications by integrating with the many open-source Python libraries available on the web.

Create beautiful visualizations with seaborn, or track progress of your experiment remotely by streaming to the web using plotly. Got data? Pandas provides an endless list of high-performance data structures and easy-to-use analysis tools to get the job done.

Cross-platform performance

The Python API for Moku can be dropped in to any existing lab infrastructure. It’s fully supported on Windows, Linux, and OSX, and in many cases you can install it without special privileges.

Share your programs with all your colleagues and computers, regardless of operating system — they’ll run anywhere.