Are you tired of struggling with disorganized spreadsheets and rigid databases? Well, Grist comes to the rescue, combining the flexibility of a spreadsheet with the robustness of a relational database, all sprinkled with a generous dose of artificial intelligence.

With Grist, you can enjoy the simplicity of Excel for entering and modifying your data, the power of an SQL database for managing table relationships, the flexibility of Python for automating your processes, and all of this in a modern interface that allows you to create tailored dashboards.

Unlike traditional spreadsheets where data is scattered across separate sheets, Grist naturally structures your information into relational tables. Each column has a defined type (text, number, date, etc.) and can be linked to other tables, just like in a professional database.

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The main asset of Grist lies in its native support for Python. Gone are the cryptic formulas like =VLOOKUP(IF.CONDITIONS(…))! You can write formulas in pure Python, with access to the entire standard library, allowing you to automate your most complex calculations elegantly. Example of a Python formula in Grist:

1def calculate_total(price, quantity, discount):
2    return price * quantity * (1 - discount / 100)

Grist also offers a modular approach where you can create custom views of your data:

  • Tables for classic grid editing
  • Cards for form-style presentation
  • Charts to visualize trends
  • Dashboards combining multiple views

All of this is built with simple drag-and-drop, without a line of code!

The integrated AI assistance function also transforms your natural language queries into functional Python formulas, so there’s no need to be a programming expert to fully leverage the power of Grist!

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Example dialogue with the assistant: “I want to calculate total sales by region and by quarter” → And voila, the assistant automatically generates the appropriate Python formula.

Grist shines particularly in its access rights management. You can set permissions at the table level, restrict access to certain columns, and of course, filter visible rows based on user profiles. For example, each salesperson can see only their own customers, while managers have a comprehensive view.

Multiple users can also work simultaneously on the same document, thanks to instant synchronization of changes, a complete history of modifications, the ability to revert at any time, and of course, support for integrated comments and discussions.

In short, you’ll understand that Grist adapts to a multitude of use cases:

🏢 Businesses: Contact and CRM management, project and resource tracking, financial analysis, inventory and logistics, etc. 🏫 Education: Student monitoring, grade management, class scheduling, budget and resources, etc. 🎯 Associations: Membership database, event management, accounting, activity reporting, etc.

A crucial point is that Grist is an open-source project, meaning its source code is accessible and auditable, and you have the option to self-host the solution.

Tech-savvy users can also install Grist locally with Docker:

1docker pull gristlabs/grist
2docker run -p 8484:8484 -it gristlabs/grist

With its growing community and the support of institutional players, Grist is gradually establishing itself as a serious alternative to traditional proprietary solutions. Its ability to combine ease of use with advanced features makes it a particularly suitable tool for the modern needs of data management and analysis.

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