Map cells let you visualize geographic data in a customizable interactive map.
Izzy Miller
Hex is a remarkably versatile interface for GIS and geospatial data analysis, giving you full access to the capabilities of top Python mapping libraries like GeoPandas, Plotly, and Mapbox, while ensuring a smooth integration with your data warehouse. Hex even has a native map cell for effortless visualization of geospatial data. With Hex, you're equipped with a plethora of both code and no-code tools for converting, scrutinizing, and visualizing geospatial data. When you've concluded your analysis, sharing your interactive maps and diagrams is just a few clicks away.
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.
Exploratory data analysis in Hex is like no other tool you've used before. SQL, Python, rich text, and a library of no-code tools are right at your fingertips in the same workspace. When you're done, just click "Publish" and your results are instantly shareable.
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.
Query your warehouse, uploaded files, or dataframes directly with SQL.
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.