ETLBox 1.7.4-alpha
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
<PackageReference Include="ETLBox" Version="1.7.4-alpha" />
<PackageVersion Include="ETLBox" Version="1.7.4-alpha" />
<PackageReference Include="ETLBox" />
paket add ETLBox --version 1.7.4-alpha
#r "nuget: ETLBox, 1.7.4-alpha"
#addin nuget:?package=ETLBox&version=1.7.4-alpha&prerelease
#tool nuget:?package=ETLBox&version=1.7.4-alpha&prerelease
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 | Versions 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. |
-
.NETStandard 2.1
- CsvHelper (>= 12.2.2)
- ExcelDataReader (>= 3.6.0)
- Microsoft.Data.SqlClient (>= 1.1.0)
- Microsoft.Extensions.Configuration.Json (>= 3.1.0)
- MySql.Data (>= 8.0.18)
- Newtonsoft.Json (>= 12.0.3)
- NLog (>= 4.6.8)
- NLog.Extensions.Logging (>= 1.6.1)
- Npgsql (>= 4.1.2)
- System.Data.Common (>= 4.3.0)
- System.Data.Odbc (>= 4.7.0)
- System.Data.SqlClient (>= 4.8.0)
- System.Data.SQLite.Core (>= 1.0.112)
- System.Threading.Tasks.Dataflow (>= 4.11.0)
- TSQL.Parser (>= 1.3.0)
- Unofficial.Microsoft.AnalysisServices.AdomdClientNetCore (>= 15.3.1.2)
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.