What can I do with Python on the Industrial App Store?

The Python app in the Industrial App Store lets users query and analyze industrial process data using Python. With support for Jupyter notebooks, machine learning libraries, and real-time data access, it enables powerful, flexible, and customizable analytics and automation.

• **Jupyter Notebooks: **Use Jupyter notebooks to analyse and visualise your data using libraries like pandas, matplot lib and seaborn.
• **Machine Learning: **Use machine learning and AI to create new insights into your data without the time consuming need to convert to clumsy CSVs. Use the Industrial App Store API with libraries like tensorflow and pytorch.
• **Scripting: **Write scripts to run scheduled tasks such as generating monthly reports.
• **Applications: **Create your own web and native applications to fit your specific needs.

Features

• Real-time - Live access to your data sources, no need to export data to CSVs, allowing you to always use the most up to date data.
• Portable - Python can be used to serve a variety of environments, from Jupyter notebooks to command line scripts to cloud based applications.
• Flexible - Users authenticate with the Industrial App Store so that they can access their live data sources immediatly. Python uses the same data APIs as other App Store Apps. This simplifies the process of developing a prototype into a full app.
• Customisable - Write code to perfectly fit your needs.
• Versatile - Compatible with a wide variety of data sources and historians that can be connected to the Industrial App Store (using App Store Connect). Including Aspentech IP.21, Aveva Wonderware, BacNet, Expression Evaluator, Honeywell Uniformance PHD, Intelligent Plant Historian, Matrikon ProcessNet, Modbus, RabbitMQ, MQTT, OPC DA/HDA, OPC UA, OSIsoft Asset Framework, OSIsoft PI, and more…