SheetAtlas icon
SheetAtlas icon

SheetAtlas

Free cross-platform tool to search, compare, and analyze multiple Excel files offline. Template validation, column linking, export with preserved types.

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Cost / License

  • Free
  • Open Source (MIT)

Platforms

  • Mac
  • Windows
  • Linux
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templates view
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Features

Properties

  1.  Privacy focused

Features

  1.  Works Offline
  2.  Dark Mode
  3.  No registration required
  4.  No Tracking
  5.  Ad-free
  6.  Import CSV Data
  7.  Full-Text Search
  8.  Desktop Application
  9. Microsoft Excel icon  Import From Excel
  10.  Cross-references
  11.  Cross-Platform

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Office & Productivity

GitHub repository

  •  17 Stars
  •  1 Forks
  •  0 Open Issues
  •   Updated  
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What is SheetAtlas?

SheetAtlas is a desktop application for professionals who work with multiple Excel files and need to quickly search for entries across all of them and compare matching rows.

SheetAtlas is a free desktop application that treats multiple Excel files as a unified searchable database - no expensive BI tools needed.

CORE FEATURES

  • Search & Filter: load dozens of Excel files (.xlsx, .xls, .csv) and search across all sheets with regex support. Filter columns to focus on relevant data.
  • Row Comparison: compare rows between files with intelligent column mapping and visual highlighting of differences.
  • Template System: create templates from file structure, validate files against templates, and use column linking with semantic names for consistent analysis.
  • Settings & Customization: configure theme (light/dark/system), default header rows, export format (Excel/CSV), output folder, and file naming patterns.
  • Export: Export normalized files to Excel or CSV with preserved data types (dates, currencies, numbers).

PRIVACY 100% offline - all processing happens locally. Your data never leaves your computer. No cloud uploads necessary.

PLATFORMS Windows, Linux, macOS

TECHNICAL DETAILS: Built with .NET 8 and Avalonia UI following Clean Architecture principles. Open source (MIT License) with focus on maintainability and performance.

IDEAL FOR: • Data analysts working with multiple spreadsheets • Engineers checking part numbers across multiple files • Finance professionals comparing reports • Anyone who needs to cross-reference data without Excel's limitations