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Open Source Excel Alternatives

The Best No-Code Tools and Backend as a Service Tools similar to Excel.

The best open source alternative to Excel is Grist. If that doesn't suit you, we've compiled a ranked list of other open source Excel alternatives to help you find a suitable replacement.

Excel alternatives are mainly No-Code Tools but may also be Backend as a Service Tools or Data Management Tools. Browse these if you want a narrower list of alternatives or looking for a specific functionality of Excel.

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A versatile data management platform combining spreadsheet simplicity with relational database capabilities for efficient data organization and analysis.

Screenshot of Grist website

Grist revolutionizes data management by merging the familiarity of spreadsheets with the robustness of databases. This innovative tool offers a unique approach to organizing, analyzing, and visualizing your data.

Key benefits of Grist include:

  • Intuitive Interface: Familiar spreadsheet-like grid for easy data entry and viewing
  • Relational Power: Create links between tables for complex data relationships
  • Custom Views: Generate multiple perspectives of your data with different layouts and filters
  • Data Visualization: Build insightful charts and widgets directly from your data
  • Formulas and Python: Use spreadsheet formulas or harness Python for advanced calculations
  • Access Control: Set granular permissions to manage data visibility and editing rights
  • Collaboration: Work together in real-time with team members on shared documents
  • API Integration: Connect Grist to other tools and automate workflows
  • Version History: Track changes and revert to previous versions when needed
  • Self-Hosted Option: Choose between cloud-hosted or on-premises deployment

Whether you're managing projects, analyzing sales data, or organizing research findings, Grist adapts to your needs. Its flexibility allows for creating custom applications without coding expertise, making it an ideal solution for businesses, researchers, and data enthusiasts alike.

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