Hex AI

Hex is the modern replacement for Jupyter notebooks in data teams — a collaborative, cloud-based workspace where SQL and Python coexist in a single flow, with AI assistance throughout.

## The Hex Workspace

A Hex project is a collection of cells: SQL queries, Python code, Markdown text, charts, and inputs. Unlike Jupyter, Hex is designed for collaboration — multiple team members can edit simultaneously, version history is tracked, and projects can be published as polished data apps accessible to non-technical stakeholders.

## Hex AI (Magic)

Hex AI, called Magic, assists throughout the data workflow: - **Code generation**: Describe what you want in English, Magic writes the SQL or Python - **Cell explanation**: Click any cell and Magic explains what it does and why in plain English - **AI edits**: Highlight code, describe a change, Magic modifies it - **Debug assistance**: Paste an error and Magic identifies the issue and suggests fixes - **Transformation suggestions**: Magic identifies potential data quality issues in query results

## Connected to Your Data

Hex connects to Snowflake, BigQuery, Redshift, Databricks, PostgreSQL, and other data sources. Magic has full context of your connected schemas — it can generate accurate SQL because it knows your actual table and column names.

## Data Apps

Publish any Hex project as a polished interactive data app — with dropdowns, date pickers, and charts — accessible to business stakeholders without requiring them to run code. This closes the gap between analyst work and business consumption.

## For Data Teams

Hex replaces the fragmented stack of Jupyter notebooks (messy, hard to share), Looker or Tableau (inflexible for ad-hoc analysis), and Google Slides (disconnected from data). It's the workspace where analysts do the full workflow.

## Pricing

Teams: $32/user/month (annual). Business: $52/user/month. Enterprise: custom. Free tier available for individuals with limited compute.