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Python interface for the MicroStrategy REST API

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mstrio: Simple and Secure Access to MicroStrategy Data

mstrio provides a high-level interface for Python and R and is designed to give data scientists and developers simple and secure access to MicroStrategy data. It wraps MicroStrategy REST APIs into simple workflows, allowing users to connect to their MicroStrategy environment, fetch data from cubes and reports, create new datasets, and add new data to existing datasets. And, because it enforces MicroStrategy's user and object security model, you don't need to worry about setting up separate security rules.

With mstrio, it's easy to integrate cross-departmental, trustworthy business data in machine learning workflows and enable decision-makers to take action on predictive insights in MicroStrategy reports, Dossiers, HyperIntelligence Cards, and customized, embedded analytical applications.

MicroStrategy for Jupyter is an extension for Jupyter Notebook which provides a graphical user interface for mstrio-py methods with the help of which user can perform all of the import and export actions without writing a single line of code manually. MicroStrategy for Jupyter is contained within mstrio-py package and is available after installation and enabling as Jupyter extension.

Table of Contents

Main Features

Main features of mstrio-py allows to access MicroStrategy data:

  • Connect to your MicroStrategy environment using Connection class (see examples)
  • Import and filter data from a Cube or Report into a Pandas DataFrame (see examples)
  • Export data into MicroStrategy by creating or updating Dataset (see examples)

Since version, mstrio-py includes also administration modules:

  • Application management module (see examples)
  • Server management module (see examples)
  • User and Usergroup management modules (see examples)
  • Subscription and Schedules management modules (see examples)
  • Document and Dossiers in User Library modules (see examples)
  • User Connections management module
  • Privilege and Security Role management modules


Detailed information about mstrio-py package can be found in official documentation.




  • Python 3.6+
  • MicroStrategy 2019 Update 4 (11.1.4)+

MicroStrategy for Jupyter

Install the mstrio-py Package

Note: it is not recommended to install mstrio-py in an Anaconda environment. For a seamless experience, install and run it in Python's virtual environment instead.

Installation is easy when using pip. Read more about installation on MicroStrategy's product documentation.

pip install mstrio-py

Enable the Jupyter Notebook extension

Once mstrio-py is installed you can install and enable the Jupyter Notebook extension by using the commands below:

jupyter nbextension install connector-jupyter --py --sys-prefix
jupyter nbextension enable connector-jupyter --py --sys-prefix

Versioning & Changelog

Current version: (11 January 2021). Check out Changelog to see what's new.

Functionalities may be added to mstrio either in combination with annual MicroStrategy platform releases or through updates to platform releases. To ensure compatibility with APIs supported by your MicroStrategy environment, it is recommended to install a version of mstrio that corresponds to the version number of your MicroStrategy environment.

mstrio-py is divided into two separate modules, first of which is meant for data-science related activities, while the second one is for administrative tasks. Former requires at least MicroStrategy 2019 Update 4 (11.1.4), latter works with 11.2.1 and higher but all features are available with MicroStrategy 11.3.0.

If you intend to use mstrio with MicroStrategy version older than 11.1.4, refer to the PyPI package archive to download mstrio 10.11.1, which is supported on:

  • MicroStrategy 2019 (11.1)
  • MicroStrategy 2019 Update 1 (11.1.1)
  • MicroStrategy 2019 Update 2 (11.1.2)
  • MicroStrategy 2019 Update 3 (11.1.3)

Refer to the PyPI package archive for a list of available versions.

To install a specific, archived version of mstrio, choose the desired version available on PyPI package archive and install with pip, as follows:

pip install mstrio-py==10.11.1

More Resources


"Jupyter" and the Jupyter logos are trademarks or registered trademarks of NumFOCUS.

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