Xplan Object Analytics Community Edition/Python
  • Python Services Overview
    • Gallery
    • Architecture overview
    • Python IDE
      • Basic Python IDE Features
        • Pyodide WebAssembly Examples
          • The first hello xplain world!
          • Import xplain python package and interact with Object Analytics
          • Using option parameters
          • Build a mini data app with streamlite package
          • Build data app with advanced plotting packages
      • Advanced topic
        • Server-side Python mode
        • Role-Based-Access-Control (RBAC)
    • JupyterLite
      • Enable Developer Mode
      • Start JupyterLite from XOE
      • Install and import packages in JupyterLite
    • Export to Python
      • Export the current session to Python code
      • Export current session to Jupyter Notebook
    • xplain python package
      • Basics to get started
      • local python environment
      • References
        • Xplain Python Package Class Xsession Document
        • Xplain Web Interface Api
      • Tutorials
        • Shared Session: work with Python and XOE together
        • xplain.Xsession Examples
    • App Building
      • Streamlit examples
        • Bar Chart and Button
        • Streamlit & Plotly
        • Cohorten
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  1. Python Services Overview

xplain python package

a powerful tool for communicating with the xplain backend engine and align with the modern python technologies

PreviousExport current session to Jupyter NotebookNextBasics to get started

Last updated 8 months ago

The xplain Python package is a powerful tool for communicating with the xplain backend engine and to do causal AI as well as data explanation and visualization. This guide will help you install and use the xplain package in three different scenarios: in the browser, on the server-side, and in a local environment.

local python environment
References
Tutorials