Auto-Analyst Logo

Auto-Analyst

Open Source

Your AI Data Scientist

Vibe Analytics, Real Insights

Chat interface screenshot

Works with any LLM provider:

OpenAI logo
OpenAI
Anthropic logo
Anthropic
Google logo
Google
Groq logo
Groq
DeepSeek logo
DeepSeek
CSV/Excel Support
Multi-Agent Orchestration
LLM Agnostic
On-Premise Deployment
Visualization dashboard screenshot

Beautiful Visualizations

Automatically generate interactive charts and graphs that tell your data's story. Export and share insights with your team.

Code canvas screenshot

Code Canvas

Code Canvas is a tool that allows you to edit your code in real-time.

Why use AutoAnalyst?

Purpose-Built for Analytics

Not just chat—AutoAnalyst is designed for real data science workflows.

Multi-Agent Intelligence

Specialized agents for cleaning, stats, ML, and visualization.

No Vendor Lock-In

Bring your own API key. Use any LLM. Host anywhere.

Open-Source & Self-Hostable

MIT licensed. Run on your own infra, customize, and extend.

Four Specialized AI Agents

Unlike ChatGPT's general-purpose approach, Auto-Analyst uses four specialized agents that work together to handle complex data science workflows with precision and reliability.

Preprocessing Agent

Data cleaning specialist using pandas and numpy

Key Capabilities:

Clean and transform datasets
Handle missing values intelligently
Convert data types automatically
Create aggregates and summaries
Detect and fix data quality issues
@preprocessing_agent

Direct your queries to this agent using @mentions

Statistical Analytics Agent

Advanced statistical analysis using statsmodels

Key Capabilities:

Correlation and regression analysis
Hypothesis testing and A/B tests
Time series analysis
Statistical modeling
Confidence intervals and p-values
@statistical_analytics_agent

Direct your queries to this agent using @mentions

Scikit-Learn Agent

Machine learning specialist for predictive modeling

Key Capabilities:

Random Forest and ensemble methods
K-means clustering analysis
Classification and regression
Feature selection and engineering
Model evaluation and validation
@scikit-learn_agent

Direct your queries to this agent using @mentions

Data Visualization Agent

Interactive visualizations using Plotly

Key Capabilities:

Interactive charts and graphs
Statistical plot recommendations
Multi-dimensional visualizations
Custom styling and formatting
Export-ready visualizations
@data_visualization_agent

Direct your queries to this agent using @mentions

Intelligent Agent Orchestration

Our planner automatically selects and coordinates the right agents for your specific query, or you can direct questions to specific agents using @mentions for precise control.

@preprocessing_agent
@statistical_analytics_agent
@scikit-learn_agent
@data_visualization_agent

Powerful Features

Everything you need to analyze and understand your data

Multi-Agent Orchestration

Unlike ChatGPT's single model, Auto-Analyst uses specialized agents that work together for complex data science workflows

Open Source & Transparent

Fully open-source with MIT license. View, modify, and contribute to the codebase on GitHub

LLM Agnostic

Works with any LLM provider - OpenAI, Anthropic, Google, Groq, DeepSeek. Use your own API keys

On-Premise Deployment

Host on your own infrastructure for complete data privacy and security control

CSV/Excel + API Connectors

Upload CSV/Excel files or connect to marketing APIs, CRMs, and databases for comprehensive analysis

Specialized for Analytics

Purpose-built for data science workflows with guardrails and reliability features ChatGPT lacks

Custom AI Agents for Your Data

Need specialized AI agents optimized for your unique data and workflows? We'll build custom solutions tailored to your specific needs.

Custom Agent Development

From data preprocessing to advanced analytics, we create specialized AI agents that understand your domain and deliver precise insights.

Our Mission & Principles

Auto-Analyst is built on three core principles that guide every decision we make. These aren't just values—they're our roadmap to democratizing data science.

Usability

We prioritize user experience through constant experimentation and feedback. The optimal UX for AI-powered data analytics is still being discovered, and we're committed to finding it.

Community-driven

Input from data analysts and scientists worldwide guides our development. We believe the best products come from listening to those who use them daily.

Openness

Beyond open-source code, we share our learnings, research, and development insights openly through blogs and technical communications.

Stay Updated with Our Journey

Follow our development progress, technical insights, and community updates. Learn about the latest advancements in AI-powered data analytics.