Features
Natural language data analysis (vibe analytics)
Multi-agent orchestration for complex workflows
Deep Analysis 5-step process (ask, plan, execute, synthesize, recommend)
Automated interactive chart generation (Plotly, Matplotlib, Seaborn)
Advanced analytics: time series, trend identification, predictive modeling
Data cleaning and preprocessing (handle missing values, transformations)
Statistical modeling and machine learning (Scikit-learn, XGBoost, Statsmodels)
CSV/Excel file upload support
API connectors to marketing CRMs and databases
LLM-agnostic: works with OpenAI, Anthropic, Google, Groq, DeepSeek
On-premise deployment for data privacy
Open-source (MIT license) with GitHub codebase
Smart agent selection via @mentions
Export and share insights with team
Natural language to SQL (Text2SQL)
AI-generated BI dashboards
Chain reasoning for complex queries
Visual ER diagram management
Table copilot for schema operations
Data import/export (CSV, XLSX, SQL)
Smart sorting and advanced filtering
Context-aware AI chatbot across sessions
Multi-LLM support (10+ models)
SSH tunneling for secure connections
Two-factor authentication
SQL audit and compliance logging
Data encryption (AES-256, RSA-2048)
CLI runtime and Skill system (v5.2.4)
