Data scientist friendly
The data collected by the cloud platform can be exported and used however you like. CSV export suits any kind of analysis, but to get you building advanced analyses straight away we provide two plug&play integrations: Python and KNIME.
Python library
Optimo IoT provides a Python library that handles these tasks in a few lines of code:
- Get the last value of one or more variables
- Get the raw values over a time range
- Get aggregated values using various statistics (mean, maximum, integral and so on)
- Write setpoints to send to the field through the cloud platform and the AL300 gateway
In the example, three lines are enough to log in with the user’s credentials and download the 2024 data of the variable with the given ID.
From there you can process it with pandas, scikit-learn and artificial intelligence models.
KNIME extension
Optimo IoT provides an extension for KNIME containing a Data Source node. KNIME is free, open source low-code/no-code software that lets anyone, whatever their level of experience, make sense of data.
The data collected by the Optimo IoT platform can therefore be used for detailed analysis and charts, and in machine learning and artificial intelligence models
Optimo IoT s.r.l.
via Francesco Restelli, 3
20124 Milan (MI) Italy
VAT no. 03834900130
Call us on +39 039 596 9780
Operational office: via Sant’Anna, 16 – 23875 Osnago (LC), Italy
Want to report a security issue? Get in touch