Hex

Hex is an AI-powered data notebook platform where Magic AI generates Python and SQL so analysts can focus on the reasoning and interpretation rather than the syntax. You describe what you want — 'calculate 30-day retention for each cohort' or 'join these two tables and show me month-over-month growth' — and Hex's Magic AI writes the code and runs it. Existing code can be explained in plain English, refactored on request, or used as the basis for follow-up queries.

Finished analyses can be published as interactive data apps — charts, filters, parameter controls — that non-technical teammates can use without seeing or running any code. For data teams whose work tends to stay siloed in notebooks that nobody else can access or interpret, this removes the step of rebuilding analysis in a presentation tool or dashboard.

Hex runs in the browser, requires no local environment to configure, and supports real-time collaboration so multiple analysts can work in the same notebook simultaneously. It connects to most major databases and data warehouses directly. Most teams run their first analysis within an hour of signing up.

Magic AI, Hex's code generation feature, understands the context of your analysis in a way that general-purpose coding assistants don't. When you ask it to calculate something specific, it considers which tables are connected, what columns are available, and what you have already computed in earlier cells, then writes SQL or Python that actually works with your specific data schema. The difference between a generic code suggestion and one that understands your data structure is usually the difference between a result and an error.

Publishing notebooks as interactive apps addresses a persistent problem in data work: analysis that stays siloed because the people who need it cannot run notebooks. A finished Hex analysis can be published as an app with filters, date pickers, and chart controls that non-technical stakeholders can use without seeing any underlying code. This removes the step of rebuilding analysis in a presentation layer and keeps the data live rather than fixed at the time of export.

Hex's collaboration model supports multiple analysts working in the same notebook simultaneously, with real-time updates and no file conflict issues. For data teams that previously circulated notebook files or worked in separate environments and merged results, shared notebooks eliminate a class of coordination overhead. The enterprise tier adds role-based access controls, audit logging, and dedicated infrastructure for teams with compliance requirements.