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

Advanced Analytics

Auto-Analyst provides advanced analytics capabilities, including time series analysis, trend identification, and predictive modeling.

Deep analysis screenshot

Introducing Deep Analysis

A 5-step process for critical insight: ask deeper questions, craft an in-depth plan, execute with agents, synthesize findings, and deliver a final recommendation.

Powered by Industry-Leading Libraries

Auto-Analyst harnesses the power of the most trusted data science libraries, organized into three specialized categories for maximum efficiency.

Major Libraries Integrated

Pandas
Pandas
NumPy
NumPy
Polars
Polars
Scikit-Learn
Scikit-Learn
XGBoost
XGBoost
Statistical Models
Statistical Models
Plotly
Plotly
Matplotlib
Matplotlib
Seaborn
Seaborn

Data Manipulation

Transform, clean, and prepare your data for analysis

Featured Libraries:

Pandas
Pandas
NumPy
NumPy
Polars
Polars

What You Can Do:

Clean and preprocess datasets with advanced techniques
Handle missing values and data quality issues
Transform and reshape data structures

Data Modelling

Build statistical models and machine learning algorithms

Featured Libraries:

Scikit-Learn
Scikit-Learn
XGBoost
XGBoost
Statistical Models
Statistical Models

What You Can Do:

Statistical analysis and hypothesis testing
Predictive analytics and forecasting
Sophisticated ML techniques for advanced modelling

Data Visualization

Create compelling charts and interactive visualizations

Featured Libraries:

Plotly
Plotly
Matplotlib
Matplotlib
Seaborn
Seaborn

What You Can Do:

Interactive and static chart creation
Multi-dimensional data visualization
Publication-ready visual outputs

Smart Agent Selection

Our AI planner automatically chooses the best libraries and agents for your task. Use @mentions to call specific agents directly.

Data Manipulation
Data Modelling
Data Visualization

We are continuously adding new templates for you.

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.

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.