™ Python Documentation

Data is a highly strategic asset, and™ allows for seamless data access and sharing of time series data. Below you can access our Python documentation and start using™. 


Basic Usage

The™ library comes with a Client class, which exposes all relevant functionality required to upload and retrieve data from



Before uploading data:™ requires timestamps to be in UTC. To avoid conversion issues, ensure that your data already is in UTC before creating or appending data to timeseries.


Click on the button to access the™ Python documentation:

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“We believe insight arise when engineers are empowered with the right data at the right time, and in the right manner. We craft software and solutions in agile teams composed of domain engineers, data scientists, software engineers, and sensor specialists. The focus lies on delivering value to the end user; the engineer.”

Øyvind Tveit, EVP Software Solutions, 4Subsea