Skip to main content

Prerequisites

Before you begin, ensure you have the following installed:
Choose one of the following:
Install the Jupyter extension for your IDE to work with notebooks.
  • Python 3.8 or higher
  • Required packages: pandas, matplotlib, seaborn, scipy, scikit-learn, numpy
Install all packages at once:
pip install pandas matplotlib seaborn scipy scikit-learn numpy

Getting started

1

Create your Sphinx account

Navigate to sphinx.ai and click Start for free.
Sphinx homepage with Start for free button
Complete the sign-up process to create your account.
Sphinx sign up form
2

Install Sphinx

Navigate to the dashboard and install Sphinx into your IDE of choice.
Sphinx installation options for different IDEs
3

Set up the quickstart project

Clone and open the quickstart GitHub repository in your IDE.
Quickstart project opened in IDE
4

Launch Sphinx

Open Sphinx using the keyboard shortcut:
  • Mac: ⌘ + T
  • Windows/Linux: Ctrl + T
Sphinx interface opened in IDE
Log in with your Sphinx account credentials.
5

Open the notebook

Navigate to and open quickstart.ipynb in your IDE.
6

Run your first analysis

Ask Sphinx: “What distribution does data.csv follow?”Watch as Sphinx analyzes the data and provides insights.
Congratulations! You’ve successfully set up Sphinx and run your first AI-powered data analysis.

Next steps