Features
Natural language AI analysis with chat and code generation
Reactive notebooks: cells auto-update on dependency changes
Built-in Python, SQL, DuckDB, Polars, pandas, numpy
One-click deploy notebooks as interactive data apps
Real-time collaborative editing and comments
Schedule notebook execution to keep data fresh
Terminal access for power users
Smart cache to reduce warehouse costs
Secrets management outside notebook code
Built-in variables key-value store
No-code machine learning for churn prediction and segmentation
Beautiful charts and visualizations
Data source connectors: PostgreSQL, Snowflake, BigQuery, ClickHouse, MotherDuck, Databricks, MySQL
File support: CSV, TSV, Parquet, JSON, Excel, SQLite, DuckDB, gzip
Share notebooks as apps without exposing code
Natural language AI writes Python, SQL, formulas, charts
Live data connectors: Postgres, MySQL, Snowflake, BigQuery, QuickBooks, Plaid
MCP support for AI agents (Claude, Cursor, ChatGPT)
API for reading/writing cells and triggering AI runs
Import CSV, Excel, PDF, Google Sheets
Scheduled tasks for automated data refresh
Conditional formatting and merged cells
STOCKHISTORY function for financial data
Images and embeds in spreadsheets
AI-generated code with explanations that are editable
Collaborative sharing with repeatable insights
Folders for organizing files
Python, SQL, JavaScript, and formula cells
Agent Sync to link apps and APIs into spreadsheets
SOC 2 and HIPAA certified
