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. The tool processes data locally without uploading information to external servers.

★★★★★

4.0(1 ratings)

• Multiple file upload. The application supports the simultaneous upload of several Excel files in .xlsx, .xls, and .csv formats. Users select entire directories or groups of files for processing. The system handles different sheet structures within each file.
• Unified search. The function executes search queries across all loaded files and sheets simultaneously. The engine examines each cell in the active sheets according to the specified criteria.
• Row comparison. When matches are found, the tool displays complete rows from different files for visual comparison. Differences between cells are highlighted with specific colors for quick identification.
• Advanced search patterns. The system includes options for case-sensitive search, exact matching, and regular expressions. Each pattern is applied consistently across all loaded documents.
• Tree-structured results. Search results are presented in a hierarchical structure following the organization: file → sheet → cell. This view allows systematic navigation through the findings.
• Cross-platform compatibility. The application works on Windows, Linux, and macOS operating systems. The interface adapts to the conventions of each platform.
• Local processing. All search and comparison operations are performed locally on the user's device. The Excel data remains on the computer at all times.
• Theme support. The interface includes light and dark display modes. The theme selection is maintained between application sessions.
• Result export. Users can save search reports in standard document formats. Comparison tables are exported for use in other applications.
• Data filtering. The tool allows applying multiple filter criteria to search results. Filters are combined to refine large datasets.
• Quick navigation. Keyboard shortcuts enable efficient movement between files and results. The interface responds to standard system input methods.
• Column management. Users select specific columns for search and comparison operations. The column selection affects the performance and accuracy of the results.

Development of SheetAtlas began in 2025 to address limitations in working with multiple Excel files. The application is built using .NET 8 and the Avalonia UI framework. The code follows Clean Architecture principles with a focus on maintainability and performance.

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