Installing Galileo

Quick guide to install the dataquality client powering Galileo

Python Environment Prerequisite

Galileo works with python 3.7+ environments.
You can install the Galileo python client via a simple pip install.

Installing Galileo

pip install --upgrade pip dataquality
[Enterprise Only] Set your Galileo Console URL
To point to your custom Enterprise environment, simply call
import dataquality as dq
Simply run the following lines in your notebook/python runtime.
import dataquality as dq
For automated login and configuration, see Environment Variables.

Projects and Runs

In Galileo, your experimentation is organized into projects and runs.
  • Project: A top level namespace holding one or more associated Runs.
  • Run: A single instance of a model training/evaluation loop where data is logged.

Start a Project and a Run

Initialize a new run in Galileo by calling dq.init() as in
where project_name and run_name are optional. If not provided, a generated name for each will be created and used.
Get Started now with your data or select a task below to integrate your own model.
Task Types supported
For more details for your use-case, choose your task type.
Natural Language Processing (NLP):
Computer Vision (CV):
Structured Data - Coming soon.