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.
Die Hauptfunktionen von qax-os/excelize sind: Spreadsheet Generation Libraries, Data Import and Export, Spreadsheet Automation, Spreadsheet Generators, Spreadsheet Processing Engines, Spreadsheet Formula Engines, Workbook Encryption, Streaming Processors.
Open-Source-Alternativen zu qax-os/excelize sind unter anderem: xuri/excelize — Excelize is a Go library designed for reading, writing, and modifying Microsoft Excel files in XML-based formats. It… unidoc/unioffice — unioffice is a comprehensive document processing suite that provides a PDF document processor, an Open XML document… haris-musa/excel-mcp-server — This project is a Model Context Protocol server that provides an interface for AI agents to programmatically create,… awesome-selfhosted/awesome-selfhosted — This project is a community-curated directory of open-source software designed for deployment in private server… sheetjs/sheetjs — SheetJS is a comprehensive library for parsing, manipulating, and generating complex spreadsheet file formats. It… rdatatable/data.table — This project is a high-performance tabular data processing framework for R, designed to handle massive datasets with…
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
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,
This project is a Model Context Protocol server that provides an interface for AI agents to programmatically create, read, and modify Excel workbooks. It serves as a bridge that enables large language models to perform spreadsheet automation and data visualization. The server allows AI agents to generate native Excel charts and pivot tables from raw data, transforming structured information into visual summaries. It provides a mechanism for remote spreadsheet management through a protocol-based connectivity layer. The system covers a broad range of spreadsheet manipulation capabilities, incl
This project is a community-curated directory of open-source software designed for deployment in private server environments and home labs. It serves as a comprehensive resource for discovering independent, self-hosted alternatives to mainstream cloud services, enabling users to maintain full data ownership and control over their digital infrastructure. The directory is structured through a hierarchical taxonomy that organizes a vast collection of applications into logical categories, ranging from media management and data analytics to private communication and team productivity tools. It dis