Open-source alternatives to Spout

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

PhpSpreadsheet is a PHP library used for reading and writing spreadsheet files across various formats. It functions as a spreadsheet file generator and an Excel file parser, allowing for the programmatic creation and manipulation of documents compatible with software such as Microsoft Excel and LibreOffice Calc. The library provides capabilities for programmatic spreadsheet generation and data extraction, enabling the conversion of data from spreadsheet files into programmable PHP formats. It also facilitates cross-format spreadsheet conversion, allowing data to be moved between different sta

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

This is a Go library for reading and writing XLSX files, providing a toolkit for spreadsheet generation and data extraction. It functions as an Office Open XML parser and generator, enabling the creation of workbooks with support for styles, formulas, and metadata. The project features a data mapper that uses Go struct tags and reflection to automatically align spreadsheet rows with structured data. It also includes a validation engine for defining input constraints, such as dropdown lists and error alerts, to control user data entry. The library covers a broad range of capabilities, includi

Apache Fesod is a lightweight Java library that wraps Apache POI to provide a streaming API for reading and writing large Excel files. Its core identity is a low-memory spreadsheet processor that prevents out-of-memory errors by handling data row by row, never loading an entire document into memory at once. The library distinguishes itself through a listener-driven event model that fires row-level events to user code as each row is parsed, enabling incremental processing. It also includes an object mapping layer that maps spreadsheet rows directly to Java objects using configurable column map

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

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

This is a Laravel Excel integration library used for importing and exporting spreadsheet files within the Laravel framework. It functions as both a spreadsheet data exporter for converting database queries and collections into files and a spreadsheet data importer for mapping workbook data to database models. The library includes an HTML to spreadsheet converter that transforms HTML table templates into downloadable documents to preserve specific layout designs. It supports large dataset exports via background queuing and processes bulk data imports through chunked reading and batch inserts.

GAM is a command-line tool for administering Google Workspace and Cloud Identity. It translates command-line arguments into structured API calls, enabling administrators to manage users, groups, organizational units, and domain settings across a Google Workspace environment. The tool handles authentication through OAuth2 flows, service accounts, and workload identity federation, and supports multi-tenant configurations for managing multiple domains or cloud projects from a single installation. GAM distinguishes itself through its batch processing and automation capabilities. It can process la

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

Laravel-Excel is an integration library for importing and exporting spreadsheet data between Laravel applications and Excel or CSV files. It provides a suite of tools for bidirectional spreadsheet integration, including a system for reading workbooks and mapping data into database models. The library distinguishes itself through a background processing system that handles large imports and exports using chunking and job queues. It supports template-driven exports by converting HTML tables from view templates into spreadsheet cells. The toolset covers broad capabilities for large dataset proc

Tika is a content analysis toolkit and Java library designed for detecting and extracting metadata and text from thousands of different file types. It functions as a universal document text extractor and metadata extraction engine, converting complex files into plain text or XHTML. The system employs a specialized MIME type detector that identifies document formats using magic bytes and metadata to determine the correct parser. It serves as an OCR integration gateway, connecting to external text recognition tools to extract content from image files. The project covers a broad range of extrac

Wikiextractor is a Wikipedia dump parser and dataset preprocessor designed to extract plain text and metadata from MediaWiki database dumps. It functions as a converter that transforms these archives into structured document files or line-delimited JSON objects for use in text corpora and machine learning datasets. The utility includes a MediaWiki template expander that resolves complex template placeholders into their full text representation. It also supports the isolation and extraction of specific individual pages from a full archive without requiring the processing of the entire dataset.

xmltodict is a Python library that provides bidirectional serialization between XML documents and dictionaries. It functions as a parser that converts marked-up input into key-value pairs and a serialization utility that transforms dictionaries back into structured XML documents. The project includes an incremental stream processor that uses depth-based callbacks to handle large XML files while maintaining constant memory usage. It features a namespace manager for mapping prefixes and declarations, as well as a security sanitizer that blocks external entity expansion and validates element nam

CsvHelper is a library for reading and writing comma-separated value files by mapping data to custom class objects. It functions as a parsing library and data mapper that converts flat-file text into structured data objects and serializes internal data sets back into standard CSV files. The project emphasizes memory efficiency through a parser that optimizes resource consumption. It utilizes field value caching and an interned string cache to store repetitive values, which reduces memory overhead when processing large datasets. The library provides a configuration-driven parsing engine that

gspread is a Python client library and API wrapper designed for programmatically interacting with Google Sheets. It serves as a spreadsheet automation library that enables the creation, organization, and management of cloud-based spreadsheets via Python scripts. The library provides a simplified interface for Google Sheets automation, allowing users to read, write, and update data without writing raw HTTP requests. It supports cloud spreadsheet integration, enabling external Python applications to use Google Sheets as a data storage layer. The project covers a broad range of capabilities inc

AlaSQL is a JavaScript SQL database engine that allows for the filtering, grouping, and joining of in-memory object arrays and JSON data. It functions as an in-memory SQL database and client-side data processor, enabling the execution of SQL statements against JavaScript arrays and external data sources in both browser and server environments. The project serves as a universal data query tool capable of performing relational joins across diverse sources, such as merging Google Spreadsheets, SQLite files, and remote APIs into a single result set. It also acts as an IndexedDB SQL wrapper, allow

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

MusicBrainz Picard is a metadata tagger and audio tag editor that identifies and tags audio files using the MusicBrainz community music database. It functions as a plugin-extensible tagging framework and a scriptable file organizer capable of reading and writing tags across various audio formats including MP3, FLAC, and WAV. The project is distinguished by its acoustic fingerprint identifier, which matches unknown music files to known recordings via sonic fingerprints. It features a custom scripting language for automating metadata transformations and organizing files into structured folder h

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

htmlparser2 is a collection of tools for high-performance markup parsing, DOM manipulation, and incremental stream processing. It functions as an HTML and XML parser that converts markup strings into structured object trees, alongside a streaming markup parser designed for memory-efficient processing of large documents. The project includes a DOM manipulation library for querying, modifying, and serializing document object model trees. It also provides a web feed parser to extract structured metadata and entries from RSS, RDF, and Atom feeds. The library covers broad capabilities in data par

htmlq is a suite of command-line utilities for querying and extracting data from HTML documents using CSS selectors. It functions as a query language tool for HTML structures and attributes, providing a way to retrieve specific information from documents via the terminal. The tool provides capabilities for extracting text content, specific HTML attributes, and document fragments. It includes an HTML document formatter for cleaning and reformatting output with consistent indentation, as well as utilities for stripping tags to isolate plain text. The software handles structural HTML processing

Open-XML-SDK is a library for programmatically creating, modifying, and validating Office documents based on the Open XML standard. It functions as an office file generator and XML document parser, enabling the manipulation of word processing, spreadsheet, and presentation files. The library allows for the generation and updating of document content and structure without requiring the native office applications to be installed. It utilizes strongly typed classes and a schema-validated approach to ensure that created files remain compatible and correctly structured. The project provides capab

ExcelDataReader is a C# library used to extract data and metadata from Microsoft Excel spreadsheets and CSV files. It functions as a workbook parser that converts spreadsheet content into structured data sets for programmatic access and iteration. The project includes a specialized metadata extractor for retrieving cell-level details, such as number formats, styles, row heights, column widths, and merged cell ranges. It also provides a stream processor for parsing plain text CSV files with customizable encoding and separator detection. The library supports the OpenXML standard for modern spr

This project is a high-performance JSON library for Go, serving as a replacement for the standard encoding/json package. It provides a serialization engine for encoding and decoding data structures, alongside a schemaless parser for extracting specific values from JSON blobs using paths. The library distinguishes itself through a focus on reducing CPU and memory overhead. It implements a high-performance encoder that utilizes buffer reuse and reduced float precision to increase data throughput. Broad capability areas include data serialization, high-performance JSON processing, and schema-le

Osaurus is a local AI workflow engine and LLM agent orchestration framework designed for private execution on local hardware. It functions as a desktop application automator and a voice-controlled AI interface, enabling the development of autonomous agents that can write code, execute tools, and operate a computer without keyboard or mouse input. The system is distinguished by its ability to control native desktop applications via accessibility APIs and manage web interactions through a headless browser automation tool. It supports a local-first execution model and on-premises deployment with

Cereal is a C++ serialization library and object persistence tool used to convert data types and containers into formats for storage or transmission. It is implemented as a header-only library, allowing it to be included directly in source code without the need for a compiled binary. The library supports multiple data representations, including binary, XML, and JSON. It provides the ability to define custom archives, enabling the development of specialized output formats to control how data is encoded and stored. The system handles the conversion of complex objects through template-based ser