ETLBox 1.7.4-alpha

This is a prerelease version of ETLBox.
There is a newer version of this package available.
See the version list below for details.
dotnet add package ETLBox --version 1.7.4-alpha
                    
NuGet\Install-Package ETLBox -Version 1.7.4-alpha
                    
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="1.7.4-alpha" />
                    
For projects that support PackageReference, copy this XML node into the project file to reference the package.
<PackageVersion Include="ETLBox" Version="1.7.4-alpha" />
                    
Directory.Packages.props
<PackageReference Include="ETLBox" />
                    
Project file
For projects that support Central Package Management (CPM), copy this XML node into the solution Directory.Packages.props file to version the package.
paket add ETLBox --version 1.7.4-alpha
                    
#r "nuget: ETLBox, 1.7.4-alpha"
                    
#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.
#addin nuget:?package=ETLBox&version=1.7.4-alpha&prerelease
                    
Install ETLBox as a Cake Addin
#tool nuget:?package=ETLBox&version=1.7.4-alpha&prerelease
                    
Install ETLBox as a Cake Tool

It's all in the box! Run all your ETL  jobs with this handy C# library. Create your own dataflow, where data is send from a source to a target and transformed on its way. Data can be read from or written into various sources, e.g. databases, flat files or web services. ETLbox supports any custom made source and offers out-of-the box functionalities for SqlServer, SQLite, MySql, Postgres, Json, CSV, Excel, Access & much more.

Product Compatible and additional computed target framework versions.
.NET net5.0 was computed.  net5.0-windows was computed.  net6.0 was computed.  net6.0-android was computed.  net6.0-ios was computed.  net6.0-maccatalyst was computed.  net6.0-macos was computed.  net6.0-tvos was computed.  net6.0-windows was computed.  net7.0 was computed.  net7.0-android was computed.  net7.0-ios was computed.  net7.0-maccatalyst was computed.  net7.0-macos was computed.  net7.0-tvos was computed.  net7.0-windows was computed.  net8.0 was computed.  net8.0-android was computed.  net8.0-browser was computed.  net8.0-ios was computed.  net8.0-maccatalyst was computed.  net8.0-macos was computed.  net8.0-tvos was computed.  net8.0-windows was computed.  net9.0 was computed.  net9.0-android was computed.  net9.0-browser was computed.  net9.0-ios was computed.  net9.0-maccatalyst was computed.  net9.0-macos was computed.  net9.0-tvos was computed.  net9.0-windows was computed. 
.NET Core netcoreapp3.0 was computed.  netcoreapp3.1 was computed. 
.NET Standard netstandard2.1 is compatible. 
MonoAndroid monoandroid was computed. 
MonoMac monomac was computed. 
MonoTouch monotouch was computed. 
Tizen tizen60 was computed. 
Xamarin.iOS xamarinios was computed. 
Xamarin.Mac xamarinmac was computed. 
Xamarin.TVOS xamarintvos was computed. 
Xamarin.WatchOS xamarinwatchos 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 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/

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/

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/

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/

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/

GitHub repositories

This package is not used by any popular GitHub repositories.

Version Downloads Last updated
3.7.0 9,543 3/7/2025
3.6.1 19,164 1/6/2025
3.5.2 3,698 12/20/2024
3.5.2-beta 87 12/10/2024
3.5.2-alpha 79 12/3/2024
3.5.1 920 11/15/2024
3.5.0 2,222 10/14/2024
3.4.4 851 9/30/2024
3.4.3 1,197 9/12/2024
3.4.2 1,068 9/3/2024
3.4.1 1,646 7/15/2024
3.4.0 2,898 5/29/2024
3.3.0 3,757 3/14/2024
3.2.0 11,518 1/11/2024
3.1.0 6,166 11/24/2023
3.0.2 15,723 10/6/2023
3.0.1 2,373 9/27/2023
3.0.0 6,476 7/11/2023
2.7.1 2,519 6/5/2023
2.7.0 5,123 4/4/2023
2.6.8 6,681 2/9/2023
2.6.7 4,684 1/9/2023
2.6.6 8,243 10/28/2022
2.6.5 6,973 10/19/2022
2.6.4 7,076 10/10/2022
2.6.3 7,115 9/26/2022
2.6.2 7,198 7/8/2022
2.6.1 7,613 5/19/2022
2.6.0 7,532 3/22/2022
2.5.2 7,405 12/30/2021
2.5.1 4,580 10/8/2021
2.5.0 8,260 9/27/2021
2.4.4 5,541 8/4/2021
2.4.3 4,290 7/16/2021
2.4.2 4,314 7/2/2021
2.4.1 9,404 5/17/2021
2.4.0 4,135 4/13/2021
2.3.2 1,772 3/2/2021
2.3.1 4,177 2/16/2021
2.3.0 5,415 1/11/2021
2.2.5 4,415 12/21/2020
2.2.4 3,700 12/15/2020
2.2.3 4,012 12/4/2020
2.2.1 1,598 11/23/2020
2.2.0 4,475 11/17/2020
2.1.4-beta 1,287 10/28/2020
2.1.4-alpha 792 10/24/2020
2.1.3 1,743 10/23/2020
2.1.2 5,521 9/24/2020
2.1.1 1,735 9/3/2020
2.1.0 3,902 9/3/2020
2.0.7 1,126 8/13/2020
2.0.6 1,189 8/13/2020
2.0.5 1,826 7/14/2020
2.0.4 1,621 7/9/2020
2.0.3 1,551 7/1/2020
2.0.2 3,983 7/1/2020
2.0.1 3,694 6/19/2020
2.0.0 3,229 6/10/2020
1.8.9 1,675 6/10/2020
1.8.8 1,505 5/27/2020
1.8.8-beta 1,106 5/24/2020
1.8.8-alpha 1,146 5/18/2020
1.8.7 17,260 5/12/2020
1.8.7-alpha 1,056 4/22/2020
1.8.6 4,079 4/21/2020
1.8.5 2,520 4/9/2020
1.8.4 1,373 4/6/2020
1.8.3 3,115 3/24/2020
1.8.2 1,389 3/9/2020
1.8.2-alpha 962 2/28/2020
1.8.1 2,642 2/27/2020
1.8.0 2,330 2/22/2020
1.8.0-rc2 964 2/15/2020
1.8.0-rc1 818 2/14/2020
1.8.0-beta 808 2/10/2020
1.8.0-alpha 897 2/4/2020
1.7.7 1,484 1/29/2020
1.7.6 1,295 1/15/2020
1.7.5 1,282 1/5/2020
1.7.5-alpha 851 1/3/2020
1.7.4 1,189 1/2/2020
1.7.4-alpha 824 12/31/2019
1.7.3 1,158 12/26/2019
1.7.2 1,163 12/16/2019
1.7.1 1,694 11/30/2019
1.7.0 998 11/25/2019
1.6.5 1,077 11/22/2019
1.6.4 1,039 11/17/2019
1.6.3 1,708 11/8/2019
1.6.2 1,063 11/4/2019
1.6.2-alpha 849 10/22/2019
1.6.1 1,400 10/18/2019
1.6.0 1,067 10/7/2019
1.5.0 1,147 9/13/2019
1.4.2 1,054 8/30/2019
1.4.1 975 8/27/2019
1.4.0 991 8/8/2019
1.3.2 967 8/5/2019
1.3.1 1,101 6/26/2019
1.3.0 1,075 6/6/2019
1.2.3 1,019 6/5/2019
1.2.2 1,123 5/24/2019
1.2.1 1,061 4/22/2019
1.2.0 1,119 4/13/2019
1.1.2 1,152 3/28/2019
1.1.1 1,458 2/2/2019
1.1.0 1,153 1/28/2019
1.1.0-beta 986 1/14/2019
1.0.1 1,245 12/20/2018
1.0.0 1,159 12/17/2018
0.1.1 1,285 12/10/2018

Added and improved error messages if component or task runs into an exception.