Grist

Created to end the data chaos that comes from trying to manage complex, interconnected information in traditional spreadsheet tools like Excel and Google Sheets, Grist enables users to build custom data applications without the rigidity of conventional databases or the limitations of flat spreadsheets.

By supporting relational data modeling, Python formulas, and highly flexible views, Grist is used by teams ranging from small nonprofits managing project data to large organizations building internal operational tools.

At the heart of Grist's power is its support for true relational data structures within a spreadsheet-like interface. Users can create tables that reference each other through reference and reference-list columns, enabling many-to-one and many-to-many relationships that are impossible in flat spreadsheets.

Two-way references automatically synchronize between tables, maintaining data integrity without manual cross-table updates. Choice lists and choice columns allow for tagging and categorizing records with predefined or open-ended options, while lookup functions enable powerful cross-table analysis.

The result is a data structure that can model genuinely complex real-world informationproject tracking, CRM data, inventory management, and more.

Grist's formula engine supports full Python syntax, including the Python standard library and a wide range of Excel-compatible functions.

This dual familiarity makes Grist accessible to users coming from either a spreadsheet background or a programming background, without requiring anyone to learn an entirely new language from scratch.