Do you get drunk no, to struggle with your disorganized spreadsheets and your completely rigid databases? Well Grist Arrives like a savior 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 will be able to benefit simultaneously from the simplicity of Excel to enter and modify your data, the power of an SQL base for the relationships between tables, the flexibility of Python to automate your treatments and all that in an interface modern that will allow you to create custom dashboards

Unlike conventional spreadsheets where data is scattered in separate leaves, Grist naturally structures your information in relational tables. Each column has a defined type (text, number, date & mldr;) and can be linked to other tables, exactly as in a professional database.

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The asset master of Grist lies in its native support for Python. No more cryptic style formulas =RECHERCHEV(SI.CONDITIONS(...)) !

You can write pure python formulas, with access to the entire standard library. What automate your most complex calculations with elegance. Example of Python formula in Grist:

def calcul_total(prix, quantite, reduction):``return prix * quantite * (1 - reduction/100)

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

  • Tables For classic grid edition
  • Cards For a formal style presentation
  • Graphics To visualize trends
  • Dashboards Combining several views

The whole thing is being built by simple drag and drop, without a line of code!

There Assistance function IA Integrated also transforms your requests into natural language into functional python formulas like that, no need to be a programming expert to fully exploit the power of Grist!

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

Grist shines particularly in its management of access rights. You can define permissions at the table level, restrict access to certain columns and of course filter the visible lines according to the user profile. For example, each salesperson can only see their own customers, while managers have an overview.

Several users can also work simultaneously on the same document, thanks to the instant synchronization of changes, the complete history of changes, the possibility of going back at any time and of course the support of comments and integrated discussions

In short, you will understand, Grist adapts to a multitude of use cases:

  • 🏢 Companies : Contact and CRM management, monitoring of projects and resources, financial, inventory and logistics analyzes & mldr; etc.
  • 🏫 Education : Students monitoring, notes management, course planning, budget and resources & mldr; etc
  • 🎯 Associations : Membership base, event management, accounting, activity reporting & mldr; etc.

Crucial point, Grist is an open source project, which means that its accessible and auditable source code and that you have the possibility of self-heberger the solution. Moreover, the French State, via the ANCT (National Agency for Territorial Cohesion), actively supports the project and even offers a body hosted for its public officials.

The most hackers can also install Grist locally with Docker:

docker pull gristlabs/grist

docker run -p 8484:8484 -it gristlabs/grist

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

Thanks to Xavier for making me discover this excellent find!

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