Query your warehouse, uploaded files, or dataframes directly with SQL.
Izzy Miller
Hex is the most powerful development environment for prototyping and deploying predictive models. With direct SQL access to your data warehouse, a polyglot environment for developing and deploying models, and a built in app builder, the data science feedback loop has never been tighter.
Period over period analysis in a notebook has never been easier or more flexible. With a powerful Python workspace that also supports SQL, you can build a fully interactive report for anyone, and give them the tools to customize their timeframes and periods of interest. When you're done, just click "Publish" and your results are instantly shareable.
Reduce customer churn with predictive insights. Discover how our Random Forest model can forecast potential customer drop-offs before they happen, saving you the higher costs of acquiring new clients. Dive into our project to see how we turn data into retention strategies for your business.
Like Google Docs, but fully interactive and synced to your data in real time. Build long-form analysis using SQL, Python, or No-Code, and publish beautiful reports that end users will love.
Understand and optimize your customer's lifetime value (CLV) with this comprehensive example of using Python and SQL to model future spending habits. You'll learn the basics of LTV modeling, explore several different scenarios like buy-till-you-die and gamma-gamma, and get a template of an interactive report on top of these models that anyone at your organization can use. Hex makes it easy to explore datasets, build complex predictive behavioral models, and then communicate findings in an interactive report— all from the same tool.
All the organizational power of code notebooks, tailor-made for your SQL workflows. Chain SQL queries, join across data sources, and access cloud-scale data in a collaborative SQL IDE.
Don't limit yourself to traditional, old-fashioned BI. Hex lets you turn even the most flexible and complex analyses into beautiful, easy to use dashboards.
Discover how Hex data scientists and analysts use Hex for everything from dashboards to deep dives.
Table display cells are a way to visualize, filter, and format tabular data without writing any code. Simply choose a dataframe and use the Table display settings to apply any fitlers, change the data format of any column, hide any column, wrap text.
Hex’s first-class Python support unlocks a world of opportunity for data exploration.
Map cells let you visualize geographic data in a customizable interactive map.
Chart cells let you visualize and explore the dataframes in a Hex project, without writing code.
Input parameters are a core, unique part of Hex. Input parameters can be created in the Notebook view and then added, optionally, to an app.
Text and Markdown cells let you add narrative, explanations, and context to your data project.
