Features
Natural language to SQL and Pandas code
Multi-turn conversational data exploration
Agent orchestrator for chained analyses
Automated visualization gallery (bar, line, pie, scatter)
Chart export (PNG, PDF) from chat results
RAG-based context retrieval for large datasets
Snowflake native data sharing support
Explainable AI with generated code display
Data upload from CSV, Parquet, Excel, SQL databases
Query history with audit trail
Collaborative sharing of queries and dashboards
Sandboxed code execution environment
Support for multiple LLM backends (OpenAI, Anthropic, local)
Data lineage tracking per query
Caching for repeated queries
Natural language data querying
Automatic chart generation (bar, line, scatter, histogram)
Statistical test recommendations (t-test, ANOVA, correlation)
Data summary and descriptive statistics
Export results to PDF and CSV
Upload datasets up to 50MB (free) and 100MB (Pro)
Custom visualization styling
Outlier detection and data cleaning suggestions
Regression analysis (linear, logistic)
Scheduled automated analysis runs
Claude Fable 5 model integration
Financial Datasets integration for stock data
