PHPExcel is a PHP spreadsheet library used for programmatically reading and writing spreadsheet files in various formats. It utilizes an in-memory spreadsheet model that maps spreadsheet structures to a hierarchy of objects for programmatic manipulation. The library functions as an Office Open XML processor for generating and manipulating XLSX documents and serves as a reader for extracting data and structure from legacy binary XLS files. It also includes tools for CSV data integration and importing. The project provides capabilities for automated report generation and spreadsheet data extra
ClosedXML is an open-source .NET spreadsheet library and wrapper used for reading and writing Excel files. It provides an object-oriented interface for manipulating workbook structures and cell data within .xlsx and .xlsm files using the OpenXML standard. The library abstracts the complexity of the OpenXML SDK, allowing developers to generate and modify spreadsheets programmatically without requiring Microsoft Office to be installed on the system. It covers a range of spreadsheet management capabilities, including workbook generation, file loading, and data extraction. The toolset supports p
OfficeCLI is a headless office suite and automation tool designed for programmatically reading, editing, and generating Microsoft Office documents. It functions as an OOXML manipulation library and a document templating engine, providing a standalone binary that allows for the management of Word, Excel, and PowerPoint files without requiring a local installation of office software. The project distinguishes itself by exposing document operations as tools for AI agents via a JSON-RPC server and the Model Context Protocol. It enables advanced customization through raw XML manipulation using XPa
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