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Found 39 packages
ETLBox.Excel
This is the Excel connector for ETLBox. It supports reading from and writing to Excel files, making it simple to process spreadsheet data. ETLBox is a complete ETL (Extract, Transform, Load) library and data integration toolbox for .NET. # Build scalable, code-first ETL pipelines for SQL, NoSQL, APIs, and flat files. # Automate data movement, transformation, and synchronization with minimal memory usage. # Ideal for data warehousing, migrations, and big data processing. Simplify your data integration workflow: ETLBox enables efficient, asynchronous data processing by reading from databases, APIs, and file formats like CSV, Excel, and JSON. Transform data dynamically with row-based, batch, or lookup transformations, and read or write from/to multiple destinations in parallel. Key Features: * Stream large datasets efficiently without loading everything into memory * Maximize performance with parallel, task-based data flow execution * Connect to various data sources with built-in connectors or extend with custom components For tutorials, examples, and documentation, visit: https://www.etlbox.net/
v3.8.0
↙ 148.8K / total
ETL.NETC#dataintegration
pkg
netaera.OpenXml.Excel
A powerful .NET library for processing Excel files using OpenXML. Provides an optimized API for reading, writing, and creating spreadsheets without requiring Microsoft Excel. Supports fluent configuration, NuGet integration, and flexible document handling.
v1.2.2
↙ 1.9K / total
ExcelOpenXMLSpreadsheet.NETC#
GroupDocs.Editor✓
GroupDocs.Editor for .NET is a powerful, intuitive, and lightweight library which allows you to edit most popular document formats, including Word, Spreadsheet and Presentation documents, using 3rd party front-end WYSIWYG editors without any additional applications. No Open Office or MS Office is required to edit a word or spreadsheet document. Edit DOC, DOCX, XLS, PPT, ODT, PDF, XML and many other document formats with GroupDocs.Editor for .NET API using C#, VB.NET or any other .NET-language. Features: * Translate document to HTML/CSS DOM compatible with most of HTML WYSIWYG editors; * Save edited HTML/CSS to source document format; * Export edited document to PDF format; * Additional options for processing password protected documents, extract document fonts, export document language information (useful for spell-checkers), set document encoding etc. Supported document formats: * Microsoft Word documents - DOC, DOCX, DOCM, DOT, DOTX, DOTM, RTF, FlatOpc, WordML, TXT; * Microsoft Excel spreadsheets - XLS, XLSX, XLSM, XLT, XLTX, XLTM, XLSB, SpreadsheetML, CSV, TSV, DSV (arbitrary delimiter); * Microsoft PowerPoint presentations - PPT, PPTX, PPTM, PPS, PPSX, PPSM, POT, POTX, POTM; * Fixed-layout documents: PDF, XPS * Open Document formats - ODT, OTT, ODS, ODP, OTP; * Markup - HTML, MHTML, CHM, XML; * e-Books - MOBI, ePub, AZW3; For more details on the GroupDocs.Editor for .NET API, please visit product website at: https://products.groupdocs.com/editor/net Note: GroupDocs.Editor for .NET will run in evaluation mode. In order to test full features of the product, please request a free 30-day temporary license.
v25.12.0
↙ 512.7K / total
GroupDocs.Editorediteditor
VelocityExcel
VelocityExcel is a high-performance, ultra fast, streaming Excel (XLSX) reader and writer for .NET with minimal memory footprint. ✓ The only Excel library that delivers ultra-high-speed read and write operations with the lowest memory consumption. ✓ Forward-only streaming read/write (no loading entire file into memory) ✓ Culture-aware parsing of dates, times, durations, numbers, and booleans ✓ Shared string deduplication with overflow protection ✓ Precise ECMA-376 format detection for date/time/duration values ✓ Safe XML parsing ✓ Zero external dependencies Ideal for processing large Excel files in ASP.NET, ASP.NET MVC, ASP.NET Core, Blazor, Web API, Windows Forms, WPF background services, or CLI tools.
v1.0.3
↙ 322 / total
excelxlsxspreadsheetopenxmlecma-376
ETLBox
ETLBox is a complete ETL (Extract, Transform, Load) library and data integration toolbox for .NET. # Build scalable, code-first ETL pipelines for SQL, NoSQL, APIs, and flat files. # Automate data movement, transformation, and synchronization with minimal memory usage. # Ideal for data warehousing, migrations, and big data processing. Simplify your data integration workflow: ETLBox enables efficient, asynchronous data processing by reading from databases, APIs, and file formats like CSV, Excel, and JSON. Transform data dynamically with row-based, batch, or lookup transformations, and read or write from/to multiple destinations in parallel. Key Features: * Stream large datasets efficiently without loading everything into memory * Maximize performance with parallel, task-based data flow execution * Connect to various data sources with built-in connectors or extend with custom components For tutorials, examples, and documentation, visit: https://www.etlbox.net/
v3.8.0
↙ 528.1K / total
ETL.NETC#dataintegration
pkg
Spire.XLS.Cpp
Spire.XLS for C++ is a professional Excel C++ API that can be used to create, read, write and convert Excel files in any type of C++ application. Spire.XLS for C++ offers object model Excel API for speeding up Excel programming in C++ platform - create new Excel documents from template, edit existing Excel documents and convert Excel files. This Professional C++ Excel API is a standalone Excel C++ managed assembly and does not depend on Microsoft Office Excel. Spire.XLS for C++ offers support both for the old Excel 97-2003 format (.xls) and for the new Excel 2007, Excel 2010, Excel 2013, Excel 2016 and Excel 2019 (.xlsx, .xlsb, .xlsm), along with Open Office(.ods) format. It features fast and reliably compared with developing your own spreadsheet manipulation solution or using Microsoft Automation. Spire.XLS for C++ enjoys good reputation in both enterprise and individual customers. These customer types include Banks, Data processing houses, educational institutions, Government organizations, Insurance firms, Legal institutions, Postal/cargo services and etc. Main Functions 100% Standalone, C++ API - No Microsoft Office Automation Spire.XLS for C++ is a 100% standalone Excel C++ API that allows developers to create, manage and manipulate Excel spreadsheets without requiring Microsoft Excel or Microsoft Office to be installed on the system. In addition, Spire.XLS for C++ is a better alternative to Office Automation in terms of security, stability, scalability, speed, price and features. Powerful & High-Quality File Conversion Spire.XLS for C++ supports converting files from Excel to PDF, Excel to HTML, HTML to Excel, Excel to CSV, Excel to Text, Excel to Image, Excel to XML, Excel to SVG, Excel to UOS, Excel to OFD, Excel to PostScript and Excel to XPS. And on the other hand, most of popular files can be transferred to Excel back. Create Excel Report from Comprehensive Workbook Designer
v15.8.1
↙ 28.6K / total
TestAny.Essentials.Api
Build your API test easily with few simple steps and this framework allows you to focus more on your Test. The wrapper allows to call the endpoints easily and provide different options on your request and response. Overview This framework is built as part of Selenium Essentials to provide an API framework which allows to make calls to endpoints easily. For advanced data transformation features including Excel integration, consider using TestAny.Essentials.Api.Extensions. Key Features: - API framework to write integration tests -- Supports fluent way of endpoint definitions -- Support most of the operations -- Simple and easy to manage the tests -- Retry mechanisms with configurable timeouts -- Cookie management and domain extraction -- Proxy and certificate support -- Comprehensive response handling Advanced Capabilities: - Request retry with customizable conditions - Timeout control for server requests - Cookie extraction and management - Auto-redirection handling - No-cache options - JSON and query parameter support - Comprehensive HTTP method support (GET, POST, PUT, DELETE, PATCH) Extensions Available: For enhanced functionality including Excel data transformation, template processing, and data-driven testing, install TestAny.Essentials.Api.Extensions which provides: - Excel data integration with {{placeholder}} template transformation - Advanced data manipulation and transformation utilities - Enhanced extension methods for string and data operations Example: return new TestApiHttp() .SetEnvironment("http://api.openweathermap.org") .PrepareRequest("/data/2.5/forecast") .Get() .ResponseBody .ContentJson;
v2.0.5
↙ 102.7K / total
seleniumautomationc#
ETLBox.SqlServer
This is the SQL Server connector for ETLBox. It enables integration with Microsoft SQL Server for handling structured data in ETL workflows. ETLBox is a complete ETL (Extract, Transform, Load) library and data integration toolbox for .NET. # Build scalable, code-first ETL pipelines for SQL, NoSQL, APIs, and flat files. # Automate data movement, transformation, and synchronization with minimal memory usage. # Ideal for data warehousing, migrations, and big data processing. Simplify your data integration workflow: ETLBox enables efficient, asynchronous data processing by reading from databases, APIs, and file formats like CSV, Excel, and JSON. Transform data dynamically with row-based, batch, or lookup transformations, and read or write from/to multiple destinations in parallel. Key Features: * Stream large datasets efficiently without loading everything into memory * Maximize performance with parallel, task-based data flow execution * Connect to various data sources with built-in connectors or extend with custom components For tutorials, examples, and documentation, visit: https://www.etlbox.net/
v3.8.0
↙ 219.3K / total
ETL.NETC#dataintegration
ETLBox.Json
This is the JSON connector for ETLBox. It lets you handle structured and semi-structured JSON data, whether working with files or APIs. ETLBox is a complete ETL (Extract, Transform, Load) library and data integration toolbox for .NET. # Build scalable, code-first ETL pipelines for SQL, NoSQL, APIs, and flat files. # Automate data movement, transformation, and synchronization with minimal memory usage. # Ideal for data warehousing, migrations, and big data processing. Simplify your data integration workflow: ETLBox enables efficient, asynchronous data processing by reading from databases, APIs, and file formats like CSV, Excel, and JSON. Transform data dynamically with row-based, batch, or lookup transformations, and read or write from/to multiple destinations in parallel. Key Features: * Stream large datasets efficiently without loading everything into memory * Maximize performance with parallel, task-based data flow execution * Connect to various data sources with built-in connectors or extend with custom components For tutorials, examples, and documentation, visit: https://www.etlbox.net/
v3.8.0
↙ 180.7K / total
ETL.NETC#dataintegration
ETLBox.Couchbase
This is the Couchbase connector for ETLBox. It allows you to integrate with Couchbase databases, providing fast and flexible NoSQL data processing. ETLBox is a complete ETL (Extract, Transform, Load) library and data integration toolbox for .NET. # Build scalable, code-first ETL pipelines for SQL, NoSQL, APIs, and flat files. # Automate data movement, transformation, and synchronization with minimal memory usage. # Ideal for data warehousing, migrations, and big data processing. Simplify your data integration workflow: ETLBox enables efficient, asynchronous data processing by reading from databases, APIs, and file formats like CSV, Excel, and JSON. Transform data dynamically with row-based, batch, or lookup transformations, and read or write from/to multiple destinations in parallel. Key Features: * Stream large datasets efficiently without loading everything into memory * Maximize performance with parallel, task-based data flow execution * Connect to various data sources with built-in connectors or extend with custom components For tutorials, examples, and documentation, visit: https://www.etlbox.net/
v3.8.0
↙ 129.9K / total
ETL.NETC#dataintegration
ETLBox.MongoDb
This is the MongoDB connector for ETLBox. It helps you work with MongoDB collections, offering support for NoSQL data processing and transformations. ETLBox is a complete ETL (Extract, Transform, Load) library and data integration toolbox for .NET. # Build scalable, code-first ETL pipelines for SQL, NoSQL, APIs, and flat files. # Automate data movement, transformation, and synchronization with minimal memory usage. # Ideal for data warehousing, migrations, and big data processing. Simplify your data integration workflow: ETLBox enables efficient, asynchronous data processing by reading from databases, APIs, and file formats like CSV, Excel, and JSON. Transform data dynamically with row-based, batch, or lookup transformations, and read or write from/to multiple destinations in parallel. Key Features: * Stream large datasets efficiently without loading everything into memory * Maximize performance with parallel, task-based data flow execution * Connect to various data sources with built-in connectors or extend with custom components For tutorials, examples, and documentation, visit: https://www.etlbox.net/
v3.8.0
↙ 129.8K / total
ETL.NETC#dataintegration
ETLBox.Postgres
This is the PostgreSQL connector for ETLBox. It supports reading from and writing to PostgreSQL databases for scalable data pipelines. ETLBox is a complete ETL (Extract, Transform, Load) library and data integration toolbox for .NET. # Build scalable, code-first ETL pipelines for SQL, NoSQL, APIs, and flat files. # Automate data movement, transformation, and synchronization with minimal memory usage. # Ideal for data warehousing, migrations, and big data processing. Simplify your data integration workflow: ETLBox enables efficient, asynchronous data processing by reading from databases, APIs, and file formats like CSV, Excel, and JSON. Transform data dynamically with row-based, batch, or lookup transformations, and read or write from/to multiple destinations in parallel. Key Features: * Stream large datasets efficiently without loading everything into memory * Maximize performance with parallel, task-based data flow execution * Connect to various data sources with built-in connectors or extend with custom components For tutorials, examples, and documentation, visit: https://www.etlbox.net/
v3.8.0
↙ 169.9K / total
ETL.NETC#dataintegration
ETLBox.Csv
This is the CSV connector for ETLBox. It helps you read and write data in CSV format, making it easy to handle flat-file data for import, export, and transformations. ETLBox is a complete ETL (Extract, Transform, Load) library and data integration toolbox for .NET. # Build scalable, code-first ETL pipelines for SQL, NoSQL, APIs, and flat files. # Automate data movement, transformation, and synchronization with minimal memory usage. # Ideal for data warehousing, migrations, and big data processing. Simplify your data integration workflow: ETLBox enables efficient, asynchronous data processing by reading from databases, APIs, and file formats like CSV, Excel, and JSON. Transform data dynamically with row-based, batch, or lookup transformations, and read or write from/to multiple destinations in parallel. Key Features: * Stream large datasets efficiently without loading everything into memory * Maximize performance with parallel, task-based data flow execution * Connect to various data sources with built-in connectors or extend with custom components For tutorials, examples, and documentation, visit: https://www.etlbox.net/
v3.8.0
↙ 160.0K / total
ETL.NETC#dataintegration
ETLBox.Analysis
This is the DataFrame connector for ETLBox. It extends ETLBox with support for processing and transforming data using DataFrames, enabling efficient handling of structured data. ETLBox is a complete ETL (Extract, Transform, Load) library and data integration toolbox for .NET. # Build scalable, code-first ETL pipelines for SQL, NoSQL, APIs, and flat files. # Automate data movement, transformation, and synchronization with minimal memory usage. # Ideal for data warehousing, migrations, and big data processing. Simplify your data integration workflow: ETLBox enables efficient, asynchronous data processing by reading from databases, APIs, and file formats like CSV, Excel, and JSON. Transform data dynamically with row-based, batch, or lookup transformations, and read or write from/to multiple destinations in parallel. Key Features: * Stream large datasets efficiently without loading everything into memory * Maximize performance with parallel, task-based data flow execution * Connect to various data sources with built-in connectors or extend with custom components For tutorials, examples, and documentation, visit: https://www.etlbox.net/
v3.8.0
↙ 118.3K / total
ETL.NETC#dataintegration
ETLBox.MySql
This is the MySQL connector for ETLBox. It lets you connect to MySQL databases, handling relational data for ETL tasks and integrations. ETLBox is a complete ETL (Extract, Transform, Load) library and data integration toolbox for .NET. # Build scalable, code-first ETL pipelines for SQL, NoSQL, APIs, and flat files. # Automate data movement, transformation, and synchronization with minimal memory usage. # Ideal for data warehousing, migrations, and big data processing. Simplify your data integration workflow: ETLBox enables efficient, asynchronous data processing by reading from databases, APIs, and file formats like CSV, Excel, and JSON. Transform data dynamically with row-based, batch, or lookup transformations, and read or write from/to multiple destinations in parallel. Key Features: * Stream large datasets efficiently without loading everything into memory * Maximize performance with parallel, task-based data flow execution * Connect to various data sources with built-in connectors or extend with custom components For tutorials, examples, and documentation, visit: https://www.etlbox.net/
v3.8.0
↙ 153.3K / total
ETL.NETC#dataintegration
ETLBox.Parquet
This is the Parquet connector for ETLBox. It lets you handle Parquet files, offering an efficient way to process columnar data. ETLBox is a complete ETL (Extract, Transform, Load) library and data integration toolbox for .NET. # Build scalable, code-first ETL pipelines for SQL, NoSQL, APIs, and flat files. # Automate data movement, transformation, and synchronization with minimal memory usage. # Ideal for data warehousing, migrations, and big data processing. Simplify your data integration workflow: ETLBox enables efficient, asynchronous data processing by reading from databases, APIs, and file formats like CSV, Excel, and JSON. Transform data dynamically with row-based, batch, or lookup transformations, and read or write from/to multiple destinations in parallel. Key Features: * Stream large datasets efficiently without loading everything into memory * Maximize performance with parallel, task-based data flow execution * Connect to various data sources with built-in connectors or extend with custom components For tutorials, examples, and documentation, visit: https://www.etlbox.net/
v3.8.0
↙ 141.7K / total
ETL.NETC#dataintegration
ETLBox.Xml
This is the XML connector for ETLBox. It lets you read and write XML data, making it easier to work with hierarchical and structured information. ETLBox is a complete ETL (Extract, Transform, Load) library and data integration toolbox for .NET. # Build scalable, code-first ETL pipelines for SQL, NoSQL, APIs, and flat files. # Automate data movement, transformation, and synchronization with minimal memory usage. # Ideal for data warehousing, migrations, and big data processing. Simplify your data integration workflow: ETLBox enables efficient, asynchronous data processing by reading from databases, APIs, and file formats like CSV, Excel, and JSON. Transform data dynamically with row-based, batch, or lookup transformations, and read or write from/to multiple destinations in parallel. Key Features: * Stream large datasets efficiently without loading everything into memory * Maximize performance with parallel, task-based data flow execution * Connect to various data sources with built-in connectors or extend with custom components For tutorials, examples, and documentation, visit: https://www.etlbox.net/
v3.8.0
↙ 141.1K / total
ETL.NETC#dataintegration
ETLBox.MariaDb
This is the MariaDB connector for ETLBox. It enables you to interact with MariaDB databases, supporting data migration and integration tasks. ETLBox is a complete ETL (Extract, Transform, Load) library and data integration toolbox for .NET. # Build scalable, code-first ETL pipelines for SQL, NoSQL, APIs, and flat files. # Automate data movement, transformation, and synchronization with minimal memory usage. # Ideal for data warehousing, migrations, and big data processing. Simplify your data integration workflow: ETLBox enables efficient, asynchronous data processing by reading from databases, APIs, and file formats like CSV, Excel, and JSON. Transform data dynamically with row-based, batch, or lookup transformations, and read or write from/to multiple destinations in parallel. Key Features: * Stream large datasets efficiently without loading everything into memory * Maximize performance with parallel, task-based data flow execution * Connect to various data sources with built-in connectors or extend with custom components For tutorials, examples, and documentation, visit: https://www.etlbox.net/
v3.8.0
↙ 138.2K / total
ETL.NETC#dataintegration
ETLBox.OleDb
This is the OleDb connector for ETLBox. It enables integration with systems supporting OleDb, making it easy to work with older databases and applications. ETLBox is a complete ETL (Extract, Transform, Load) library and data integration toolbox for .NET. # Build scalable, code-first ETL pipelines for SQL, NoSQL, APIs, and flat files. # Automate data movement, transformation, and synchronization with minimal memory usage. # Ideal for data warehousing, migrations, and big data processing. Simplify your data integration workflow: ETLBox enables efficient, asynchronous data processing by reading from databases, APIs, and file formats like CSV, Excel, and JSON. Transform data dynamically with row-based, batch, or lookup transformations, and read or write from/to multiple destinations in parallel. Key Features: * Stream large datasets efficiently without loading everything into memory * Maximize performance with parallel, task-based data flow execution * Connect to various data sources with built-in connectors or extend with custom components For tutorials, examples, and documentation, visit: https://www.etlbox.net/
v3.8.0
↙ 137.6K / total
ETL.NETC#dataintegration
ETLBox.Odbc
This is the ODBC connector for ETLBox. It allows you to connect to databases and systems that support ODBC drivers, offering flexibility for legacy and custom data sources. ETLBox is a complete ETL (Extract, Transform, Load) library and data integration toolbox for .NET. # Build scalable, code-first ETL pipelines for SQL, NoSQL, APIs, and flat files. # Automate data movement, transformation, and synchronization with minimal memory usage. # Ideal for data warehousing, migrations, and big data processing. Simplify your data integration workflow: ETLBox enables efficient, asynchronous data processing by reading from databases, APIs, and file formats like CSV, Excel, and JSON. Transform data dynamically with row-based, batch, or lookup transformations, and read or write from/to multiple destinations in parallel. Key Features: * Stream large datasets efficiently without loading everything into memory * Maximize performance with parallel, task-based data flow execution * Connect to various data sources with built-in connectors or extend with custom components For tutorials, examples, and documentation, visit: https://www.etlbox.net/
v3.8.0
↙ 138.8K / total
ETL.NETC#dataintegration
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