Count’s low code cells make it possible for anyone to explore data. Join data, create custom expressions, filter data, and craft powerful visualizations - all without a single line of code.
Stakeholders and analysts alike use low-code cells to explore data at pace, without wasting time writing complex syntax.
We believe data must be transparent for it to be trusted. This means you won’t find any black boxes in Count, including in our low-code cells.
Any low-code cell can be turned into a SQL cell so you can see exactly what code is being generated from that cell.
Use low-code joins to bring together cells or database tables. If you’re using a local DuckDB cell, then you can join across data sources.
Use calculations to add custom logic to any column, filter, or field in a visual. This means there’s no ceiling on what you can do in these low-code cells.
Query data from your database, CSV file, Python API, or any other cell. Blend data sources together using local DuckDB and Python cells.
With Count's dbt integration, cells can also represent your models. They act like any other cell, so can be edited, compiled, exploded or queried further, but can also be deployed back to dbt after you've made changes.
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