Hex is the love child of Jupyter Notebooks and a modern web app - a collaborative data workspace where SQL, Python, and rich visual storytelling live together in harmony. Instead of emailing screenshots of charts and hoping people read your analysis, Hex lets you build interactive data apps that stakeholders can actually play with. It's what data teams use when they're tired of answering 'can you re-run that with last month's numbers?' for the tenth time.
Main Features
- Polyglot notebooks: Write SQL and Python in the same notebook, passing data between cells seamlessly - no more copy-pasting query results.
- Interactive data apps: Turn static analysis into self-serve dashboards with dropdowns, sliders, date pickers, and input parameters that non-technical stakeholders can use.
- AI-powered magic tools: Describe what you want in plain English and Hex generates SQL queries, Python code, and even full charts - like a copilot for analysts.
- Real-time collaboration: Multiple team members co-edit notebooks simultaneously with comments, threads, and version history - like Google Docs for data.
- Scheduled runs and fresh data: Set notebooks to auto-refresh on a schedule so dashboards and reports always show current data without manual intervention.
- Flexible visualizations: Build everything from simple line charts to complex geospatial maps, heatmaps, and custom Plotly/D3 visualizations.
- Deep warehouse integrations: Native connections to Snowflake, BigQuery, Redshift, Databricks, and PostgreSQL - query directly against your data warehouse.
- Publishable and embeddable: Share projects via secure links or embed interactive data apps in Notion, Confluence, or internal wikis.
Who Should Use It?
- Data analysts and scientists: Who want the power of notebooks with the polish of a dashboard tool - without sacrificing either.
- Data engineers: Building reusable data modules and scheduled pipelines that business teams can self-serve from.
- Business stakeholders: Who need interactive, self-serve access to analysis without learning SQL or waiting on data team bandwidth.
- Startup data teams: Looking for an all-in-one workspace that replaces Jupyter + Looker + Slides with a single tool.
- Product analytics teams: Building interactive product metric dashboards that PMs can explore and drill into independently.
- Consulting and agency analysts: Delivering polished, interactive reports to clients that look professional and are easy to share.
- RevOps and finance teams: Creating recurring revenue reports, pipeline analyses, and financial models that update automatically.
