PandasAI 3.0 is currently in beta. This documentation reflects the latest features and functionality, which may evolve before the final release.

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What is PandasAI?

PandasAI is an open-source framework that brings together intelligent data processing and natural language analysis. Whether you’re working with complex datasets or just starting your data journey, PandasAI provides the tools to define, process, and analyze your data efficiently. Through its powerful data preparation layer and intuitive natural language interface, you can transform raw data into actionable insights without writing complex code.

For users of previous versions, PandasAI 3.0 marks a significant evolution, expanding beyond conversational analysis to introduce a comprehensive data preparation framework that revolutionizes how you structure and interact with your data.

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Core Components

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Data preparation layer

The foundation of PandasAI 3.0 is its robust data preparation layer, which allows you to:

  • Define semantic data schemas with rich metadata
  • Establish data relationships across different tables
  • Create integrated views combining multiple data sources
  • Handle various data formats including Parquet, CSV, and more

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Natural language interface

Building on our established strengths, PandasAI continues to offer powerful natural language capabilities:

  • Translate plain English queries into executable code
  • Generate dynamic visualizations and charts
  • Perform complex data analysis through simple conversations
  • Create automated data insights

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Why choose PandasAI?

PandasAI 3.0 is designed for:

  • Data Scientists seeking efficient ways to process and analyze data
  • Data Engineers who need a flexible data preparation framework
  • Analysts who want to combine the power of code with natural language interfaces
  • Teams looking to standardize their data processing workflows

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Getting started

PandasAI offers two ways to leverage its capabilities:

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Open source library

The core PandasAI library is completely open source, giving you full control over your data processing and analysis workflows. Start with our Semantic Layer Guide to learn about defining data schemas and creating integrated views.

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Data platform

For enhanced capabilities, connect your PandasAI implementation to our Data Platform. This provides:

  • Dataset-specific advanced conversational agents
  • AI-generated dashboards
  • Real-time DataFrame synchronization across multiple users
  • Collaborative data exploration features

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Next steps

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Get in touch

If you can’t find the information you’re looking for in the documentation, or if you need help, get in touch with our Support Team at pm@sinaptik.ai, or join our Discord, where our team and community can help you.