ETLBox 0.1.1

.NET Framework 4.6.1 This package targets .NET Framework 4.6.1. The package is compatible with this framework or higher.
There is a newer version of this package available.
See the version list below for details. 
dotnet add package ETLBox --version 0.1.1                

                    
                

            
NuGet\Install-Package ETLBox -Version 0.1.1
This command is intended to be used within the Package Manager Console in Visual Studio, as it uses the NuGet module's version of Install-Package. 
<PackageReference Include="ETLBox" Version="0.1.1" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
paket add ETLBox --version 0.1.1                

                    
                

            
#r "nuget: ETLBox, 0.1.1"
#r directive can be used in F# Interactive and Polyglot Notebooks. Copy this into the interactive tool or source code of the script to reference the package. 
// Install ETLBox as a Cake Addin
#addin nuget:?package=ETLBox&version=0.1.1

// Install ETLBox as a Cake Tool
#tool nuget:?package=ETLBox&version=0.1.1

It's all in the box! Run all your ETL jobs with this awesome C# class library.

Product Compatible and additional computed target framework versions.
.NET Framework net461 is compatible.  net462 was computed.  net463 was computed.  net47 was computed.  net471 was computed.  net472 was computed.  net48 was computed.  net481 was computed. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

NuGet packages (32)

Showing the top 5 NuGet packages that depend on ETLBox:

Package Downloads
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 lightweight ETL (Extract, Transform, Load) library and data integration toolbox for .NET. # Build Scalable Data Pipelines for SQL, NoSQL, APIs, and Flat Files # Automate Data Transformation, Validation, and Cleaning # Ideal for Data Warehousing, Migration, and Synchronization Simplify Data Integration and Automation: ETLBox provides source and destination components to read and write data from databases, APIs, and file formats like CSV, Excel, and JSON. Transformations let you harmonize, filter, aggregate, validate, and clean your data in parallel workflows. Key Features: * Supports streaming data pipelines for real-time processing * Parallel data flow processing for faster ETL pipelines * Extensive set of built-in connectors with support for custom extensions For tutorials, examples, and documentation visit: https://www.etlbox.net
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 lightweight ETL (Extract, Transform, Load) library and data integration toolbox for .NET. # Build Scalable Data Pipelines for SQL, NoSQL, APIs, and Flat Files # Automate Data Transformation, Validation, and Cleaning # Ideal for Data Warehousing, Migration, and Synchronization Simplify Data Integration and Automation: ETLBox provides source and destination components to read and write data from databases, APIs, and file formats like CSV, Excel, and JSON. Transformations let you harmonize, filter, aggregate, validate, and clean your data in parallel workflows. Key Features: * Supports streaming data pipelines for real-time processing * Parallel data flow processing for faster ETL pipelines * Extensive set of built-in connectors with support for custom extensions For tutorials, examples, and documentation visit: https://www.etlbox.net
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 lightweight ETL (Extract, Transform, Load) library and data integration toolbox for .NET. # Build Scalable Data Pipelines for SQL, NoSQL, APIs, and Flat Files # Automate Data Transformation, Validation, and Cleaning # Ideal for Data Warehousing, Migration, and Synchronization Simplify Data Integration and Automation: ETLBox provides source and destination components to read and write data from databases, APIs, and file formats like CSV, Excel, and JSON. Transformations let you harmonize, filter, aggregate, validate, and clean your data in parallel workflows. Key Features: * Supports streaming data pipelines for real-time processing * Parallel data flow processing for faster ETL pipelines * Extensive set of built-in connectors with support for custom extensions For tutorials, examples, and documentation visit: https://www.etlbox.net
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 lightweight ETL (Extract, Transform, Load) library and data integration toolbox for .NET. # Build Scalable Data Pipelines for SQL, NoSQL, APIs, and Flat Files # Automate Data Transformation, Validation, and Cleaning # Ideal for Data Warehousing, Migration, and Synchronization Simplify Data Integration and Automation: ETLBox provides source and destination components to read and write data from databases, APIs, and file formats like CSV, Excel, and JSON. Transformations let you harmonize, filter, aggregate, validate, and clean your data in parallel workflows. Key Features: * Supports streaming data pipelines for real-time processing * Parallel data flow processing for faster ETL pipelines * Extensive set of built-in connectors with support for custom extensions For tutorials, examples, and documentation visit: https://www.etlbox.net
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 lightweight ETL (Extract, Transform, Load) library and data integration toolbox for .NET. # Build Scalable Data Pipelines for SQL, NoSQL, APIs, and Flat Files # Automate Data Transformation, Validation, and Cleaning # Ideal for Data Warehousing, Migration, and Synchronization Simplify Data Integration and Automation: ETLBox provides source and destination components to read and write data from databases, APIs, and file formats like CSV, Excel, and JSON. Transformations let you harmonize, filter, aggregate, validate, and clean your data in parallel workflows. Key Features: * Supports streaming data pipelines for real-time processing * Parallel data flow processing for faster ETL pipelines * Extensive set of built-in connectors with support for custom extensions For tutorials, examples, and documentation visit: https://www.etlbox.net

GitHub repositories

This package is not used by any popular GitHub repositories.

Version Downloads Last updated
3.6.1 3,874 1/6/2025
3.6.0 759 1/6/2025
3.5.2 3,651 12/20/2024
3.5.2-beta 77 12/10/2024
3.5.2-alpha 73 12/3/2024
3.5.1 887 11/15/2024
3.5.0 1,627 10/14/2024
3.4.4 846 9/30/2024
3.4.3 1,164 9/12/2024
3.4.2 1,063 9/3/2024
3.4.1 1,625 7/15/2024
3.4.0 2,706 5/29/2024
3.3.0 3,659 3/14/2024
3.2.0 10,561 1/11/2024
3.1.0 6,138 11/24/2023
3.0.2 13,409 10/6/2023
3.0.1 2,355 9/27/2023
3.0.0 6,281 7/11/2023
2.7.1 2,504 6/5/2023
2.7.0 5,112 4/4/2023
2.6.8 6,648 2/9/2023
2.6.7 4,668 1/9/2023
2.6.6 8,215 10/28/2022
2.6.5 6,964 10/19/2022
2.6.4 7,067 10/10/2022
2.6.3 7,105 9/26/2022
2.6.2 7,151 7/8/2022
2.6.1 7,599 5/19/2022
2.6.0 7,441 3/22/2022
2.5.2 7,265 12/30/2021
2.5.1 4,560 10/8/2021
2.5.0 8,241 9/27/2021
2.4.4 5,505 8/4/2021
2.4.3 4,278 7/16/2021
2.4.2 4,302 7/2/2021
2.4.1 9,364 5/17/2021
2.4.0 4,121 4/13/2021
2.3.2 1,734 3/2/2021
2.3.1 4,157 2/16/2021
2.3.0 5,345 1/11/2021
2.2.5 4,381 12/21/2020
2.2.4 3,682 12/15/2020
2.2.3 3,994 12/4/2020
2.2.1 1,579 11/23/2020
2.2.0 4,457 11/17/2020
2.1.4-beta 1,269 10/28/2020
2.1.4-alpha 774 10/24/2020
2.1.3 1,725 10/23/2020
2.1.2 5,481 9/24/2020
2.1.1 1,716 9/3/2020
2.1.0 3,884 9/3/2020
2.0.7 1,108 8/13/2020
2.0.6 1,170 8/13/2020
2.0.5 1,807 7/14/2020
2.0.4 1,603 7/9/2020
2.0.3 1,530 7/1/2020
2.0.2 3,946 7/1/2020
2.0.1 3,650 6/19/2020
2.0.0 3,209 6/10/2020
1.8.9 1,411 6/10/2020
1.8.8 1,240 5/27/2020
1.8.8-beta 838 5/24/2020
1.8.8-alpha 881 5/18/2020
1.8.7 16,991 5/12/2020
1.8.7-alpha 792 4/22/2020
1.8.6 3,752 4/21/2020
1.8.5 2,250 4/9/2020
1.8.4 1,104 4/6/2020
1.8.3 2,843 3/24/2020
1.8.2 1,367 3/9/2020
1.8.2-alpha 942 2/28/2020
1.8.1 2,621 2/27/2020
1.8.0 2,303 2/22/2020
1.8.0-rc2 944 2/15/2020
1.8.0-rc1 798 2/14/2020
1.8.0-beta 787 2/10/2020
1.8.0-alpha 876 2/4/2020
1.7.7 1,463 1/29/2020
1.7.6 1,274 1/15/2020
1.7.5 1,257 1/5/2020
1.7.5-alpha 830 1/3/2020
1.7.4 1,169 1/2/2020
1.7.4-alpha 798 12/31/2019
1.7.3 1,136 12/26/2019
1.7.2 1,141 12/16/2019
1.7.1 1,673 11/30/2019
1.7.0 971 11/25/2019
1.6.5 1,056 11/22/2019
1.6.4 1,017 11/17/2019
1.6.3 1,642 11/8/2019
1.6.2 1,042 11/4/2019
1.6.2-alpha 827 10/22/2019
1.6.1 1,378 10/18/2019
1.6.0 1,045 10/7/2019
1.5.0 1,121 9/13/2019
1.4.2 1,032 8/30/2019
1.4.1 953 8/27/2019
1.4.0 969 8/8/2019
1.3.2 944 8/5/2019
1.3.1 1,078 6/26/2019
1.3.0 1,053 6/6/2019
1.2.3 997 6/5/2019
1.2.2 1,101 5/24/2019
1.2.1 1,039 4/22/2019
1.2.0 1,094 4/13/2019
1.1.2 1,127 3/28/2019
1.1.1 1,434 2/2/2019
1.1.0 1,127 1/28/2019
1.1.0-beta 962 1/14/2019
1.0.1 1,221 12/20/2018
1.0.0 1,136 12/17/2018
0.1.1 1,257 12/10/2018

Initial release