Top 20 NuGet separated Packages
A library for reading and writing CSV files. Extremely fast, flexible, and easy to use. Supports reading and writing of custom class objects.
Reads and writes CSV, fixed-length and other flat file formats with a focus on schema definition, configuration and speed. Supports mapping directly between files and classes.
KBCsv is an efficient, easy to use .NET parsing and writing library for the CSV (comma-separated values) format, delivered as a Portable Class Library. Online at https://github.com/kentcb/KBCsv.
Easy coding of csv parsing. This NuGet package adds easy to use csv features.
Provides extensions to use KBCsv with types in System.Data. Online at https://github.com/kentcb/KBCsv.
Provides generally useful extensions to KBCsv as a Portable Class Library. Online at https://github.com/kentcb/KBCsv.
This library is a simple CSV file parser. It uses attributes on classes that define which of the properties are used as CSV file columns.
Csv (comma-separated values) Library (.NET Standard Library) A library for reading objects from CSV files and writing objects to CSV files. (for .NET Network 4.6 or later, .NET Core 1.1 or later)
Csv (comma-separated values) Library (.NET Framework Library) A library for reading objects from CSV files and writing objects to CSV files. (.NET Framework 4.5.2 or later)
FwtParser is a .NET Core library for reading and writing FWT (Fixed Width Text) files. Supports reading and writing of custom class objects.
A set of classes to parse delimiter-separated or positional values in lines of text and map them into .NET CLR objects
This project helps you to read and write CSV (Comma Separated Values) files in your program. Those files are legacy, but many developers still use them because of their readability and because every sheet-calculation program can perfectly edit them. With the classes in this project you can read/...
Read flat files using the ADO.NET IDataReader interface. This project has been retired and replaced with FlatFiles, which is easier to use, supports more file formats and is extremely fast!
This is a simple library to read and write CSV files. Simple means it doesn't have fancy mapping to DTOs or anything like that. It's main purpose is to read CSV to dictionaries or write dictionaries to CSV. But to do it correctly (i.e. not messing up when it encounters line breaks).