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dotnet add package ETLBox --version 3.3.0
NuGet\Install-Package ETLBox -Version 3.3.0
<PackageReference Include="ETLBox" Version="3.3.0" />
<PackageVersion Include="ETLBox" Version="3.3.0" />Directory.Packages.props
<PackageReference Include="ETLBox" />Project file
paket add ETLBox --version 3.3.0
#r "nuget: ETLBox, 3.3.0"
#:package ETLBox@3.3.0
#addin nuget:?package=ETLBox&version=3.3.0Install as a Cake Addin
#tool nuget:?package=ETLBox&version=3.3.0Install as a Cake Tool
ETLBox is a lightweight ETL (extract, transform, load) library and data integration toolbox for .NET. You can use it to read any data from different sources and connect them with customizable transformations. Finally, you can export the data into different databases, web endpoints, file types or any other destinations. While data is processed in memory, you can choose between different transformation components to harmonize, filter, aggregate, validate and clean your data.
ETLBox is a fully functional alternative to other ETL tools like SQLServer Integrations Services (SSIS) or Azure Data Factory. The main difference to other toolsets is that it doesn’t come with a User Interface. But no worries! Working with ETLBox, you will discover that creating data flows programmatically is the best approach for solving most of your ETL and data integration related problems.
Here are a few things you can do with ETLBox:
ETLBox is a data processing engine based on .NET Core, giving you the power to create your own ETL processes. This engine runs inside your applications, APIs, and jobs to extract, filter, transform, migrate data on-the-fly. ETLBox speeds up your development by providing an easy-to-use toolbox for integrating your data from different sources within your app and load them into any target you like.
Ready to learn more? Visit www.etlbox.net and get started with coding your own ETL jobs with C#!
| Product | Versions Compatible and additional computed target framework versions. |
|---|---|
| .NET | net5.0 net5.0 was computed. net5.0-windows net5.0-windows was computed. net6.0 net6.0 is compatible. net6.0-android net6.0-android was computed. net6.0-ios net6.0-ios was computed. net6.0-maccatalyst net6.0-maccatalyst was computed. net6.0-macos net6.0-macos was computed. net6.0-tvos net6.0-tvos was computed. net6.0-windows net6.0-windows was computed. net7.0 net7.0 was computed. net7.0-android net7.0-android was computed. net7.0-ios net7.0-ios was computed. net7.0-maccatalyst net7.0-maccatalyst was computed. net7.0-macos net7.0-macos was computed. net7.0-tvos net7.0-tvos was computed. net7.0-windows net7.0-windows was computed. net8.0 net8.0 is compatible. net8.0-android net8.0-android was computed. net8.0-browser net8.0-browser was computed. net8.0-ios net8.0-ios was computed. net8.0-maccatalyst net8.0-maccatalyst was computed. net8.0-macos net8.0-macos was computed. net8.0-tvos net8.0-tvos was computed. net8.0-windows net8.0-windows was computed. net9.0 net9.0 was computed. net9.0-android net9.0-android was computed. net9.0-browser net9.0-browser was computed. net9.0-ios net9.0-ios was computed. net9.0-maccatalyst net9.0-maccatalyst was computed. net9.0-macos net9.0-macos was computed. net9.0-tvos net9.0-tvos was computed. net9.0-windows net9.0-windows was computed. net10.0 net10.0 was computed. net10.0-android net10.0-android was computed. net10.0-browser net10.0-browser was computed. net10.0-ios net10.0-ios was computed. net10.0-maccatalyst net10.0-maccatalyst was computed. net10.0-macos net10.0-macos was computed. net10.0-tvos net10.0-tvos was computed. net10.0-windows net10.0-windows was computed. |
| .NET Core | netcoreapp2.0 netcoreapp2.0 was computed. netcoreapp2.1 netcoreapp2.1 was computed. netcoreapp2.2 netcoreapp2.2 was computed. netcoreapp3.0 netcoreapp3.0 was computed. netcoreapp3.1 netcoreapp3.1 was computed. |
| .NET Standard | netstandard2.0 netstandard2.0 is compatible. netstandard2.1 netstandard2.1 was computed. |
| .NET Framework | net461 net461 was computed. net462 net462 was computed. net463 net463 was computed. net47 net47 was computed. net471 net471 was computed. net472 net472 was computed. net48 net48 was computed. net481 net481 was computed. |
| MonoAndroid | monoandroid monoandroid was computed. |
| MonoMac | monomac monomac was computed. |
| MonoTouch | monotouch monotouch was computed. |
| Tizen | tizen40 tizen40 was computed. tizen60 tizen60 was computed. |
| Xamarin.iOS | xamarinios xamarinios was computed. |
| Xamarin.Mac | xamarinmac xamarinmac was computed. |
| Xamarin.TVOS | xamarintvos xamarintvos was computed. |
| Xamarin.WatchOS | xamarinwatchos xamarinwatchos was computed. |
Showing the top 5 NuGet packages that depend on ETLBox:
| Package | Downloads |
|---|---|
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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/ |
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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/ |
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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/ |
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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/ |
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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/ |
This package is not used by any popular GitHub repositories.
| Version | Downloads | Last Updated |
|---|---|---|
| 3.9.0 | 2,392 | 5/12/2026 |
| 3.8.0 | 2,696 | 2/24/2026 |
| 3.7.3 | 32,425 | 11/9/2025 |
| 3.7.2 | 9,345 | 10/16/2025 |
| 3.7.1 | 29,557 | 7/8/2025 |
| 3.7.0 | 38,633 | 3/7/2025 |
| 3.6.1 | 21,551 | 1/6/2025 |
| 3.5.2 | 5,345 | 12/20/2024 |
| 3.5.2-beta | 219 | 12/10/2024 |
| 3.5.2-alpha | 247 | 12/3/2024 |
| 3.5.1 | 2,580 | 11/15/2024 |
| 3.5.0 | 5,674 | 10/14/2024 |
| 3.4.4 | 2,474 | 9/30/2024 |
| 3.4.3 | 3,189 | 9/12/2024 |
| 3.4.2 | 2,735 | 9/3/2024 |
| 3.4.1 | 3,217 | 7/15/2024 |
| 3.4.0 | 4,836 | 5/29/2024 |
| 3.3.0 | 6,073 | 3/14/2024 |
| 3.2.0 | 17,542 | 1/11/2024 |
What's new in 3.3.0:
Features:
- Added Network.ParallelExecute(params Network[] networks) to support parallel execution of disparate networks
- Network: Added methods 'PrintAsJson' and 'PrintAsNodes' to support printing or visualizing a network
- New connector: ETLBox.Analysis (connector to Microsoft.Analysis.DataFrame)
- Updated 3rd party libraries
- Network exceution throws an expection when a network is started containing components that are not linked
- XmlSource/XmlDestination: Improved support for namespaces
Bug fixes:
- Improved exception handling if Http Endpoint returns error code
- Re-adding support for parsing column names from CTEs