ETLBox 1.8.2-alpha

.NET Standard 2.0 This package targets .NET Standard 2.0. The package is compatible with this framework or higher.
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There is a newer version of this package available.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 1.8.2-alpha                

                    
                

            
NuGet\Install-Package ETLBox -Version 1.8.2-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="1.8.2-alpha" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
paket add ETLBox --version 1.8.2-alpha                

                    
                

            
#r "nuget: ETLBox, 1.8.2-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. 
// Install ETLBox as a Cake Addin
#addin nuget:?package=ETLBox&version=1.8.2-alpha&prerelease

// Install ETLBox as a Cake Tool
#tool nuget:?package=ETLBox&version=1.8.2-alpha&prerelease

Build your own ETL & data integration 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 works with any custom source and offers out-of-the-box support for SqlServer, SQLite, MySql, Postgres, Json, CSV, Excel, Access & 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 netcoreapp2.0 was computed.  netcoreapp2.1 was computed.  netcoreapp2.2 was computed.  netcoreapp3.0 was computed.  netcoreapp3.1 was computed. 
.NET Standard netstandard2.0 is compatible.  netstandard2.1 was computed. 
.NET Framework net461 was computed.  net462 was computed.  net463 was computed.  net47 was computed.  net471 was computed.  net472 was computed.  net48 was computed.  net481 was computed. 
MonoAndroid monoandroid was computed. 
MonoMac monomac was computed. 
MonoTouch monotouch was computed. 
Tizen tizen40 was computed.  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 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 17,040 1/6/2025
3.6.0 821 1/6/2025
3.5.2 3,657 12/20/2024
3.5.2-beta 82 12/10/2024
3.5.2-alpha 76 12/3/2024
3.5.1 907 11/15/2024
3.5.0 1,953 10/14/2024
3.4.4 849 9/30/2024
3.4.3 1,187 9/12/2024
3.4.2 1,063 9/3/2024
3.4.1 1,638 7/15/2024
3.4.0 2,874 5/29/2024
3.3.0 3,724 3/14/2024
3.2.0 11,036 1/11/2024
3.1.0 6,145 11/24/2023
3.0.2 14,933 10/6/2023
3.0.1 2,360 9/27/2023
3.0.0 6,409 7/11/2023
2.7.1 2,515 6/5/2023
2.7.0 5,117 4/4/2023
2.6.8 6,660 2/9/2023
2.6.7 4,678 1/9/2023
2.6.6 8,233 10/28/2022
2.6.5 6,969 10/19/2022
2.6.4 7,072 10/10/2022
2.6.3 7,110 9/26/2022
2.6.2 7,173 7/8/2022
2.6.1 7,605 5/19/2022
2.6.0 7,470 3/22/2022
2.5.2 7,332 12/30/2021
2.5.1 4,570 10/8/2021
2.5.0 8,252 9/27/2021
2.4.4 5,512 8/4/2021
2.4.3 4,282 7/16/2021
2.4.2 4,306 7/2/2021
2.4.1 9,376 5/17/2021
2.4.0 4,126 4/13/2021
2.3.2 1,760 3/2/2021
2.3.1 4,162 2/16/2021
2.3.0 5,357 1/11/2021
2.2.5 4,386 12/21/2020
2.2.4 3,687 12/15/2020
2.2.3 3,999 12/4/2020
2.2.1 1,584 11/23/2020
2.2.0 4,462 11/17/2020
2.1.4-beta 1,274 10/28/2020
2.1.4-alpha 779 10/24/2020
2.1.3 1,730 10/23/2020
2.1.2 5,486 9/24/2020
2.1.1 1,721 9/3/2020
2.1.0 3,889 9/3/2020
2.0.7 1,113 8/13/2020
2.0.6 1,175 8/13/2020
2.0.5 1,812 7/14/2020
2.0.4 1,608 7/9/2020
2.0.3 1,536 7/1/2020
2.0.2 3,953 7/1/2020
2.0.1 3,655 6/19/2020
2.0.0 3,215 6/10/2020
1.8.9 1,416 6/10/2020
1.8.8 1,246 5/27/2020
1.8.8-beta 844 5/24/2020
1.8.8-alpha 887 5/18/2020
1.8.7 16,997 5/12/2020
1.8.7-alpha 798 4/22/2020
1.8.6 3,784 4/21/2020
1.8.5 2,256 4/9/2020
1.8.4 1,110 4/6/2020
1.8.3 2,849 3/24/2020
1.8.2 1,373 3/9/2020
1.8.2-alpha 948 2/28/2020
1.8.1 2,627 2/27/2020
1.8.0 2,309 2/22/2020
1.8.0-rc2 950 2/15/2020
1.8.0-rc1 804 2/14/2020
1.8.0-beta 793 2/10/2020
1.8.0-alpha 882 2/4/2020
1.7.7 1,469 1/29/2020
1.7.6 1,280 1/15/2020
1.7.5 1,264 1/5/2020
1.7.5-alpha 836 1/3/2020
1.7.4 1,175 1/2/2020
1.7.4-alpha 804 12/31/2019
1.7.3 1,142 12/26/2019
1.7.2 1,147 12/16/2019
1.7.1 1,680 11/30/2019
1.7.0 977 11/25/2019
1.6.5 1,062 11/22/2019
1.6.4 1,023 11/17/2019
1.6.3 1,682 11/8/2019
1.6.2 1,048 11/4/2019
1.6.2-alpha 833 10/22/2019
1.6.1 1,384 10/18/2019
1.6.0 1,051 10/7/2019
1.5.0 1,127 9/13/2019
1.4.2 1,038 8/30/2019
1.4.1 959 8/27/2019
1.4.0 975 8/8/2019
1.3.2 950 8/5/2019
1.3.1 1,086 6/26/2019
1.3.0 1,059 6/6/2019
1.2.3 1,003 6/5/2019
1.2.2 1,107 5/24/2019
1.2.1 1,046 4/22/2019
1.2.0 1,101 4/13/2019
1.1.2 1,134 3/28/2019
1.1.1 1,442 2/2/2019
1.1.0 1,134 1/28/2019
1.1.0-beta 969 1/14/2019
1.0.1 1,228 12/20/2018
1.0.0 1,143 12/17/2018
0.1.1 1,266 12/10/2018

Fixing performance issue for DbMerge. Also, LookupTransformation and Aggregate Attributes now need to be set on the lookup / aggregate object.

BREAKING CHANGES since 1.8.0: Adjusted CSVSource/CSVDestination and DBSource/DBDestination/DBMerge to real CamelCase - they are now CsvSource/CsvDestination and DbSource/DbDestination/DbMerge. Further, ConnectionString was renamed to SqlConnectionString.