Top 20 NuGet delimited Packages

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)
Toolbox for .NET projects
Open Source library for automatic formatted file read/write operations Unofficial .NET Standard 2.0 / .NET Core port.
The GenericParser is a robust C# implementation of a parser for delimited and fixed width format files. It provides a variety of features (ex. custom delimiters, text qualifiers, loading/saving configuration from XML, and many more), performant, and thoroughly tested.
Fast, reliable and powerful CSV parser for .Net ported from the PapaParse JavaScript Library. This PCL has all the functionality of Papa Parse except for JSON to CSV parsing and asynchronous operations, which might be added in the Future.
A flexible library for reading csv files
Delimited string builder
Sort large and small delimited or fixed width files by defined key(s) and direction with optional data filtering and progress reporting. Merge purge two files.
Enables BizDataX packages to process data stored in delimited and positional files.
The Software Botany Ivy project is a library containing various string utilities. Included in the library are fluent APIs for parsing and creating delimited and fixed width positional text.
A library that help you to convert collections to CSV file.
Library for loading csv, tsv or other regularly shaped files guess-separated-values.
AnyCSV - Process ANY delimited string.
Implements pure functions for extracting tokens from delimited text, similar to the split method. Documentation available at: Issues and bug tracker available at:
Classes to read and write “.csv” files including reading or appending a single field or row at a time.
CSV Helper. A library for writing CSV files. Supports writing of custom class objects.
Popular, easy to use library to read and write CSV and tab delimited files. Supports data fields containing commas and line breaks. Supports different character encodings, separator characters and date and number formats. Robust error handling lets you quickly fix problems in large input files.