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. Architecture Overview
  • 2. Python IDE
  • 3. Jupyterlite
  • 4. xplain python package
  • 5. App Building

Python Services Overview

- Seamlessly integrate the modern python technologies into the Xplain causal AI and data science portfolios

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Last updated 2 months ago

1. Architecture Overview

There are three different scenarios to run python programs to access Xplain Object Analytics. By default, the serverside python is disabled. To check all the three scenarios, please visit architecture overview. Xplain Data offers a suite of Python services designed to seamlessly integrate with the Xplain backend engine, empowering developers and data scientists to harness the full potential of their data. These services include:

2. Python IDE

Experience the power of a robust Integrated Development Environment (IDE) tailored for Python development. The Python IDE provided by Xplain Data includes features such as:

  • Syntax Highlighting: Easily read and write Python code with color-coded syntax.

  • Live python App using pyodide: Without installing python environment you can run python code directly in Object Analytics: either in embedded python IDE or in JupyterLite.

  • Serverside python: In this case the Pyhon Interpreter environment is installed on the server side where the Xplain Object Analytics Engine is running.

3. Jupyterlite

Leverage the lightweight, web-based version of Jupyter for interactive computing. JupyterLite provides:

By utilizing these comprehensive Python services, Xplain Data enables you to streamline your data workflows, enhance your analytical capabilities, identify the causal relationship using causal API. With our python services, you can not only achieve these goals using our Xplain xoe directly, but also build powerful causal AI and data analytics applications with ease.

4. xplain python package

The xplain Python package is your gateway to interacting with the Xplain backend engine. This package offers:

  • Automation: Automate repetitive tasks and workflows to increase efficiency.

  • Extensibility: Easily extend functionalities with custom modules and plugins.

  • Causal AI: Harness the power of Causal AI to uncover the underlying causal relationships in your data. Xplain Data's Causal AI tools include:

    • Causal Graphs: Visualize causal relationships between variables using intuitive causal graphs.

    • Relative Time Axis: Analyze causal effects over time with a relative time axis, providing deeper insights into temporal dynamics.

    • Counterfactual Analysis: Explore hypothetical scenarios to predict potential outcomes.

  • Data Science: elevate your data science projects with Xplain Data's comprehensive data science capabilities:

    • Data Preparation: Efficiently clean and preprocess your data for analysis.

    • Statistical Analysis: Apply a wide range of statistical techniques to extract meaningful insights.

    • Machine Learning: Build and deploy machine learning models using integrated libraries and tools.

5. App Building

Transform your data insights into interactive applications with Xplain Data's app-building capabilities using python. Features include:

  • Custom Dashboards: Create dynamic dashboards to visualize your data in real-time.

  • User-Friendly Interfaces: Design intuitive user interfaces with modern python tools such as streamlit, dash and mesob...

  • Backend Integration: Ensure smooth connectivity with the Xplain backend for data updates and queries.

  • Scalability: Build apps that can scale with your data and user base.

  • Causal AI: Harness the power of Causal AI to uncover the underlying causal relationships in your data. Xplain Data's Causal AI tools include:

    • Causal Graphs: Visualize causal relationships between variables using intuitive causal graphs.

    • Relative Time Axis: Analyze causal effects over time with a relative time axis, providing deeper insights into temporal dynamics.

    • Intervention Analysis: Simulate interventions to understand their impact on the system.

    • Counterfactual Analysis: Explore hypothetical scenarios to predict potential outcomes.

  • Interactive Notebooks: Write and execute Python code in an interactive notebook format.

  • Data Visualization: Generate rich visualizations and charts to better understand your data.

  • Portability: Access your notebooks from any device with a web browser, without the need for local installations.

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Python IDE

robust Xplain IDE tailored for Python development

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xplain python package

gateway to interacting with the Xplain backend engine

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App Building

Transform data insights into interactive applications