SoftCircuits.CsvParser 2.2.0

CsvParser is a .NET library that makes it easy to work with comma-separated-values (CSV) files (and files with other delimiters). It includes basic classes to read and write CSV columns, and also higher level classes that can automatically map CSV columns to your class properties. The library correctly handles column values that contain embedded commas, quotes or other special characters. It even supports column values that span multiple lines. CsvParser is very efficient and is designed to handle large data files without loading everything into memory. CsvParser runs almost 4 times faster than the popular CsvHelper.

In addition, the library's behavior can be customized. For example, you can change the column delimiter to another character (like the tab character, for example), change the quote character, customize how blank lines are handled, etc.

Install-Package SoftCircuits.CsvParser -Version 2.2.0
dotnet add package SoftCircuits.CsvParser --version 2.2.0
<PackageReference Include="SoftCircuits.CsvParser" Version="2.2.0" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add SoftCircuits.CsvParser --version 2.2.0
The NuGet Team does not provide support for this client. Please contact its maintainers for support.

Release Notes

Changes to data converters and data converter templates; Made data converters slightly more forgiving.

  • .NETStandard 2.0

    • No dependencies.

NuGet packages (1)

Showing the top 1 NuGet packages that depend on SoftCircuits.CsvParser:

Package Downloads
SoftCircuits.WebScraper
.NET library to scrape content from the Internet. Use it to extract information from Web pages in your own application. Extracted data is written to a CSV file. Supports paging and can cycle through all combinations of any number of replacement tags.

GitHub repositories

This package is not used by any popular GitHub repositories.

Version History

Version Downloads Last updated
2.2.0 99 6/15/2020
2.1.8 50 6/15/2020
2.1.7 140 5/31/2020
2.1.6 84 5/29/2020
2.1.5 81 5/29/2020
2.1.4 54 5/29/2020
2.1.3 64 5/26/2020
2.1.2 115 4/19/2020
2.1.1 75 4/15/2020
2.1.0 99 3/13/2020
2.0.11 165 2/15/2020
2.0.10 71 2/14/2020
2.0.9 157 2/11/2020
2.0.8 85 1/20/2020
2.0.7 159 8/2/2019
2.0.6 122 8/2/2019
2.0.5 126 8/1/2019
2.0.4 120 7/31/2019
2.0.3 125 7/31/2019
2.0.2 123 7/30/2019
2.0.1 124 7/29/2019
2.0.0 119 7/28/2019
1.1.0 139 7/10/2019
1.0.0 1,152 7/9/2019