pandas-ai

Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.

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Builder

sinaptik-ai

sinaptik-ai • individual

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23,433

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Forks

2,298

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Activity Score

0/100

0 commits in 30d

Created

Apr 22, 2023

Project creation date

README Summary

PandasAI is a Python library that enables conversational data analysis by allowing users to chat with their databases and data files using natural language. It leverages Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) to transform data queries into actionable insights. The tool supports various data sources including SQL databases, CSV files, and Parquet files, making data analysis accessible through conversational interfaces.

AI Dev Skills

Unmapped

Retrieval-Augmented GenerationNatural Language to SQL TranslationLarge Language Model IntegrationConversational AIData Query GenerationMulti-modal Data ProcessingText-to-Code Generation

Tags

Retrieval-Augmented GenerationNatural Language to SQL TranslationLarge Language Model IntegrationConversational AIData Query GenerationMulti-modal Data ProcessingText-to-Code GenerationBusiness IntelligenceE-commerceAgentic AINatural Language Database QueryingSelf-hostedNatural Language InterfacesTabularData AnalyticsInteractive Data Lake QueryingOn-premiseTextFinancial ServicesHealthcare AnalyticsConversational Data AnalysisData Exploration Without SQL KnowledgeSelf-service Business IntelligenceCloud APIPython

Recent Activity

Updated 5 months ago

7 Days

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90 Days

Quality

beta

Quality: medium
Maturity: beta

PM Skills

Developer Platform

Languages

Python100.0%

Timeline

Project created: Apr 22, 2023
Forked: Mar 23, 2026
Your last push: 5 months ago
Upstream last push: 5 months ago
Tracked since: Oct 28, 2025

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