Python API

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

Get Started

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, record and analyze your data all in a single place by partnering our Python API with Jupyter.

Automated control

Pymoku takes Moku hardware to the next level, turning it into an automated test, measurement, and control device for your lab. Pymoku 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

python

>> data = oscilloscope.get_data()
>>
>>

Open-source integration

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

Create beautiful visualisations 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

Pymoku can be dropped in to any existing lab infrastructure. It’s fully supported on Windows, Linux and OSX and in many cases can be installed without special privileges.

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