Awesome GitHub RepositoriesSpreadsheet Visualizations

Excelize is a Go library designed for reading, writing, and modifying Microsoft Excel files in XML-based formats. It functions as a spreadsheet file parser and generator that enables the programmatic extraction and modification of data. The library includes a streaming spreadsheet processor to handle massive datasets incrementally, preventing system memory exhaustion during large-scale read and write operations. It also provides a chart generator to convert worksheet values or external data sources into visual representations within the spreadsheet. Beyond core file processing, the project c

Excelize is a library for reading and writing spreadsheet files in the Office Open XML format. It provides a comprehensive suite of tools for programmatically creating, modifying, and analyzing workbooks, worksheets, and cell data, ensuring compatibility across various office software suites through structured XML serialization. The library distinguishes itself with a built-in formula calculation engine that evaluates complex mathematical and logical expressions directly against workbook data. It also features a memory-mapped streaming architecture, which allows for the efficient processing o

Luckysheet is a web-based spreadsheet component and collaborative editor designed for rendering interactive grids in a browser. It functions as an Excel-compatible data grid that allows for the import and export of spreadsheet files while maintaining tabular data structures. The project provides real-time collaborative editing, synchronizing changes across multiple users to enable simultaneous work on shared documents. It also serves as a JavaScript data visualization tool, converting cell values into graphical charts and visual representations. The platform covers a broad range of data mana

unioffice is a comprehensive document processing suite that provides a PDF document processor, an Open XML document library, a document security toolkit, and a document content extractor. It is designed to programmatically create, read, and modify Word, Excel, and PowerPoint files, as well as generate and edit PDF documents. The project is distinguished by its native language implementation of the Open XML standard, which removes native binary dependencies to simplify container deployments. It features advanced capabilities for digital document security, including hardware-based PDF signing,

XlsxWriter is a library for generating spreadsheets in the XLSX format, functioning as an Excel workbook writer and file generator. It provides the capability to write data, apply cell formatting, and build complex layouts across multiple worksheets. The project distinguishes itself with a memory-optimized writing mode that flushes large datasets to disk row-by-row, enabling the creation of files exceeding 4 GB while minimizing RAM consumption. It also includes a specialized mechanism for embedding binary project files and digital signatures to enable VBA macros and signed scripts within work

EPPlus is a .NET library designed for programmatically creating, manipulating, and styling Excel files using the Open XML format. It functions as an office file manipulator and spreadsheet processor that allows for the generation and modification of workbooks without requiring the local installation of office productivity software. The library enables the creation of complex workbooks featuring charts, pivot tables, and conditional formatting for automated reporting. It includes an internal calculation engine to execute embedded formulas and spreadsheet logic, and provides security features s

This project is a Model Context Protocol server that enables artificial intelligence assistants to interact directly with Microsoft Excel files. It functions as a bridge, allowing external systems to read, write, and modify spreadsheet data through a standardized interface. By supporting both direct file manipulation and headless application automation, the server provides a comprehensive utility for programmatic workbook management. The server distinguishes itself by combining data processing capabilities with a visual rendering pipeline. It can generate image snapshots of specific spreadshe