Installing the Python SDK

Requirements

Make sure that you meet the following system and software requirements before you install Databand

System requirements

Linux (recommended for production)

macOS

Software requirements

You can use different SDK versions in different parts of the system. To improve communication, use the same SDK version across all components that are in communication. For example, use the same version for Apache Airflow and Spark cluster.

Table 1. Software requirements for integrating Databand with the Python SDK

Software	Additional information
Python 3.7 - 3.12	Mandatory
Virtualenv or Conda	Recommended. Each of these virtual environments has its own Pip installation that is required. If you are an Anaconda user, run conda install pip, and follow the installation instructions for pip users.

Installing dbnd

From the command line, run the following command:

pip install dbnd

The Databand PyPI basic package installs only the packages that are required for getting started. Behind the scenes, Databand conditionally imports operators that require additional dependencies.

For more information about how to connect SDK integrations into your Databand application, see Connecting to Databand service.

Installing plug-ins

If you want to track your pipeline metadata or orchestrate pipelines, you can install plug-ins to integrate Databand with third-party tools. To do so, you can use bundled installation with databand[plugin-slug]. The following example enables automatic tracking for Airflow:

pip install databand'[dbnd-airflow-auto-tracking]'