Tagreader is a Python package for reading timeseries data from the OSIsoft PI and Aspen Infoplus.21 Information Manufacturing Systems (IMS) systems. It is intended to be easy to use, and present as similar interfaces as possible to the backend historians.

You can install tagreader directly into your project from pypi by using pip or another package manager. The only requirement is Python version 3.8 or above.

pip install tagreader

The following are required and will be installed:

• pandas
• requests
• requests-kerberos
• certifi
• diskcache

Tagreader easy to use for both Equinor internal IMS services, and non-internal usage. For non-internal usage you simply need to provide the corresponding IMS service URLs and IMSType. See data source for details.

import tagreader
c = tagreader.IMSClient("mysource", "aspenone")
print(c.search("tag*"))
df = c.read_tags(["tag1", "tag2"], "18.06.2020 08:00:00", "18.06.2020 09:00:00", 60)

Note, you can add a timeout argument to the search method in order to avoid long-running search queries.

Jupyter Notebook examples can be found in /examples. In order to run these examples, you need to install the optional dependencies.

pip install tagreader[notebooks]

The quickstart Jupyter Notebook can be found here

For more details, see the Tagreader Docs.

The full documentation can be found in Tagreader Docs

To starting contributing, please see Tagreader Docs - Contribute