ENLYZE introduces Python library and API for machine data to enable application development, data science, and AI use cases

From now on, the machine data collected by ENLYZE can not only be consumed from the app: The new interface (API) of the ENLYZE platform and a compatible Python library will allow users to programmatically access machine data in the future.

Synthetic data points that do not occur at the control and are only calculated in the ENLYZE platform are also available for retrieval here.

ENLYZE thus takes a decisive step towards the mission of making machine data easily accessible in companies:

Previously, machine data collected by ENLYZE was only accessible in the ENLYZE app or via OPC-UA in the workshop; the API of the ENLYZE platform now provides the opportunity to use this data in other tools and systems for their own applications:

• Process engineers can use the Python library in Jupyter Notebooks to deepen their existing process understanding through data analysis or to accelerate the introduction of new product lines by evaluating experiments.

• The open interface can also be used by internal or external developers to create custom, data-centric applications or to enrich existing systems and databases.

• Last but not least, the interface can also be used by AI experts to develop neural networks based on machine data - for example, for predictive maintenance.

• During audits concerning machine data, the manual and sometimes weeks-long data collection can be reduced to a simple query of the ENLYZE platform.

If you have questions about using the new interface of the ENLYZE platform or about specific use cases, feel free to contact us anytime at hello@enlzye.com.