How to Use Hex in 2026: Step-by-Step Guide
Collaborative data notebook that combines SQL, Python, and AI in a single workspace — letting data teams build analyses, dashboards, and data apps together in real time.
Hex is a modern data workspace that merges notebooks (like Jupyter), BI tools, and AI assistance into a single collaborative platform. Data teams use it to write SQL and Python, build interactive analyses, and publish results as sharable dashboards or data apps — all in one place.
What Hex Does Well
Collaborative notebooks solve the isolation problem of traditional Jupyter notebooks. Multiple people can edit the same notebook simultaneously, see each other's cursors, and comment on specific cells. Version history, branching, and review flows make it work like a code collaboration tool rather than a file-sharing mess.
Magic AI (Hex's AI feature) generates SQL and Python from natural language descriptions, explains code, suggests fixes for errors, and autocompletes complex transformations. Analysts describe what they want — "join the users table to the orders table, filter to active users in the last 90 days, group by plan type" — and Hex writes the code.
Logic cells and data apps extend notebooks beyond analysis. Hex supports interactive elements (dropdowns, sliders, text inputs) that non-technical stakeholders can use to explore data without touching code. An analyst builds the logic; anyone in the organization uses the resulting app.
App publishing lets teams share finished analyses as polished, interactive dashboards rather than raw notebooks. Apps update on a schedule or on-demand from the live database.
Who Hex Is For
Hex targets data science and analytics teams at companies with a data-first culture. It replaces or supplements Jupyter/VS Code for analysis work and reduces the need for separate BI tools for sharing results. Pricing starts at $24/user/month (Starter), with team and enterprise tiers.
What You'll Need
- A Hex account (free to create)
- A modern web browser or the Hex app
- Payment method for paid features
Getting Started
Create Your Account
Visit https://hex.tech and sign up for a freemium account. You'll need an email address to register. A free tier is available — you can upgrade later for more features.
Start Your First Conversation
Once logged in, you'll see the main chat interface. Type a question or task in the input box and press Enter. Hex supports data-notebooks, sql, python, ai-code-generation, dashboards — start with a simple text prompt to get familiar.
Pro Tips
- Be specific: The more context you provide, the better the response. Instead of "write an email," try "write a professional follow-up email to a client who hasn't responded in two weeks."
- Iterate: If you don't get what you need, ask for clarification or refinement: "Make it shorter" or "Use a more formal tone."
- Use examples: Show Hex what format you want by including an example in your prompt.
- Save useful conversations: Most platforms let you name and revisit conversations — organize by project or topic.
Common Use Cases
Research & Analysis
Chatbots that help with data analysis, literature review, and in-depth research tasks.
Browse Research & Analysis chatbots →Programming & Code
AI assistants focused on writing, debugging, and explaining code across programming languages.
Browse Programming & Code chatbots →Troubleshooting
- Responses seem generic or unhelpful
- Add more context to your prompt. Specify the audience, tone, length, and format you need. Try starting over with a clearer description of your goal.
- The tool isn't responding or is slow
- AI chatbots can experience high traffic. Refresh the page and try again. Check the service's status page if issues persist.
- Output is too long or too short
- Explicitly specify the length: "in 100 words," "as a brief summary," or "in detail with examples."
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Frequently Asked Questions
- Is Hex free to use?
- Hex has a free tier. Paid plans start from $24/user/mo.
- Do I need an account to use Hex?
- Yes, you need to create an account to use Hex.
- What can I use Hex for?
- Collaborative data notebook that combines SQL, Python, and AI in a single workspace — letting data teams build analyses, dashboards, and data apps together in real time.
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