An AI-powered data analytics platform with interactive visualizations and real-time insights.

Auto-Analyst is an analytics platform featuring a FastAPI backend and a Next.js frontend. The system provides AI-driven data analytics, interactive visualizations, and an admin dashboard for monitoring key usage metrics. The platform leverages WebSockets for real-time updates and integrates enterprise-grade functionalities.

• Frontend: Next.js / React (Learn more about the frontend architecture here)
• Backend: Python / FastAPI (Learn more about the api breakdown here)
• Database: SQLite for data storage and Redis Upstash for rate limiting and credits management
• CI/CD: GitHub Actions
• Payment Processing: Stripe Integration
• Security: API Key Management System

For detailed setup instructions, development guidelines, and information about contributing to this project, please refer to our Contributing Guide.

• Chat Interface – Interactive AI-powered chat system with multi-agent support.
• Chat History – Chat history is stored in the database and displayed in the chat interface.
• Session Management – Persistent user sessions with state tracking.
• Code Execution – Python code execution with AI-powered editing and fixing capabilities.
• Google OAuth – Google OAuth is supported for authentication.

• Analytics Dashboard – A comprehensive admin panel displaying usage statistics, model performance metrics, and cost analysis.
• Cost Analytics – Tracks detailed cost breakdowns, daily spending trends, and cost projections.
• User Analytics – Monitors user activity, session statistics, and new user acquisition rates.
• Model Performance Tracking – Evaluates model usage, response times, and token consumption patterns.

• Admin Authentication – Secure, API key-based authentication for administrative access.
• API Key Management – Reading API KEYS via code canvas is blocked.

• Real-time Updates – WebSocket-based real-time updates for dashboard and analytics views.
• Real-time Analytics Enhancements – WebSocket handling with improved robustness and error recovery.

• Enterprise Deployment Options – On-premise deployment contact support for custom API integrations.
• Documentation – Comprehensive documentation for developers and maintainers.
• Model Credits System – Redis Upstash-based credits tracking and management.
• Stripe Integration – Secure payment processing for credit purchases and subscription management.

• AI Code Editing – Intelligent code editing with code highlight.
• Code Error Fixing – Automated code error detection and fixing capabilities.
• Canvas Implementation – Interactive data visualization canvas for custom analytics.
• Multi-Model Support – Integration with multiple AI models (OpenAI, Groq, Anthropic, Gemini).

The following areas are part of our development roadmap to improve system stability, performance and feature set:

• Error Handling – Implement more robust exception handling for API endpoints.
• Cost Calculation Precision – Improve floating-point precision in cost calculations.
• Redis Connection Stability – Enhance connection handling with better fallback mechanisms.
• User Accounts Page – Implement email change functionality, plan updates, and other account management features.

• Query Performance – Optimize agents to be more efficient and reduce hallucinated results on low tier models.
• API Key Rotation – Implement automated API key rotation for enhanced security.
• User Guest Creation in DB - Fix excessive creation of guest users when users first log in.

Our long-term vision is explained in three principles we would like to follow while developing the latest versions of the product. It is hard to define them in specifics.

• Usability: We want the product to be as usable as possible, which can only be achieved through constant experimentation. The optimal UX for such a project is yet to be discovered.
• Community-driven: We want input from data analysts and scientists from around the world to guide us in our future development efforts. Please stay in touch on our socials (LinkedIn, Medium, Substack).
• Openness: We would like to not only open-source the source code but also, through blogs and other forms of communication, share with the world all advancements in the product openly.

• ADMIN_API_KEY – Critical for securing admin access.
• NEXT_PUBLIC_API_URL – Backend API endpoint reference.
• AWS credentials – Required for infrastructure provisioning and deployment.
• SMTP credentials – Required for sending emails.
• OpenAI API Key – Required for the chat interface.
• Groq API Key – Required for the chat interface.
• Gemini API Key - Required for Chat interface.
• Anthropic API Key – Required for the chat interface.
• Redis URL – Required for rate limiting and credits management.
• Stripe Keys – Required for payment processing.

• Contributing Guide
• Frontend Documentation
• Backend Documentation
• API Documentation
• Database Schema
• Redis Setup

• Open an issue for bugs
• Use discussions for questions
• Contact maintainers for enterprise support