Database

Grist – modern relational spreadsheet

Grist is a modern relational spreadsheet.

It combines the flexibility of a spreadsheet with the robustness of a database. It consists of a spreadsheet hosting server, a cross-platform desktop app for viewing and editing spreadsheets stored locally, as well as a fully in-browser build for displaying spreadsheets on a website without back-end support.

This is free and open source software.

Features include:

  • Python formulas
    • Full Python syntax is supported, including the standard library.
    • Many Excel functions are also available.
    • An AI Assistant specifically tuned for formula generation (using OpenAI gpt-3.5-turbo or Llama via llama-cpp-python).
  • A portable, self-contained format.
    • Based on SQLite, the most widely deployed database engine.
    • Any tool that can read SQLite can read numeric and text data from a Grist file.
    • Enables backups that you can confidently restore in full.
  • Can be displayed on a static website with grist-static – no special server needed.
  • A self-contained desktop app for viewing and editing locally: grist-electron.
  • Convenient editing and formatting features.
    • Choices and choice lists, for adding colorful tags to records.
    • References and reference lists, for cross-referencing records in other tables.
    • Attachments, to include media or document files in records.
    • Dates and times, toggles, and special numerics such as currency all have specialized editors and formatting options.
    • Conditional Formatting, letting you control the style of cells with formulas to draw attention to important information.
  • Drag-and-drop dashboards.
    • Charts, card views and a calendar widget for visualization.
    • Summary tables for summing and counting across groups.
    • Widget linking streamlines filtering and editing data. Grist has a unique approach to visualization, where you can lay out and link distinct widgets to show together, without cramming mixed material into a table.
    • Filter bar for quick slicing and dicing.
  • Incremental imports.
  • Import a CSV of the last three months activity from your bank……and import new activity a month later without fuss or duplication.
  • Integrations.
    • A REST API, Zapier actions/triggers, and support from similar integrators.
    • Import/export to Google drive, Excel format, CSV.
    • Link data with custom widgets, hosted externally.
    • Configurable outgoing webhooks.
  • Many templates to get you started, from investment research to organizing treasure hunts.
  • Access control options.
    • (You’ll need SSO logins set up to make use of these options; grist-omnibus has a prepackaged solution if configuring this feels daunting)
    • Share individual documents, workspaces, or team sites.
    • Control access to individual rows, columns, and tables.
    • Control access based on cell values and user attributes.
  • Self-maintainable.
    • Useful for intranet operation and specific compliance requirements.
  • Sandboxing options for untrusted documents.
    • On Linux or with Docker, you can enable gVisor sandboxing at the individual document level.
  • Translated to many languages.

Website: www.getgrist.com
Support: GitHub Code Repository
Developer: Grist Labs
License: Apache License 2.0

is written in TypeScript and Python. Learn TypeScript with our recommended free books and free tutorials. Learn Python with our recommended free books and free tutorials.

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