There are 3 repositories under csv-reader topic.
Library that makes it possible to read, edit and write CSV files
CleverCSV is a Python package for handling messy CSV files. It provides a drop-in replacement for the builtin CSV module with improved dialect detection, and comes with a handy command line application for working with CSV files.
The FileHelpers are a free and easy to use .NET library to read/write data from fixed length or delimited records in files, strings or streams
A high-performance, fully-featured CSV parser and serializer for modern C++.
A C++, header-only library for constructing JSON and JSON-like data formats, with JSON Pointer, JSON Patch, JSON Schema, JSONPath, JMESPath, CSV, MessagePack, CBOR, BSON, UBJSON
Read and write CSV files row-by-row or through Swift's Codable interface.
react-papaparse is the fastest in-browser CSV (or delimited text) parser for React. It is full of useful features such as CSVReader, CSVDownloader, readString, jsonToCSV, readRemoteFile, ... etc.
🔧🔦 Validation of CSV file against user defined schema (returns back object with data and invalid messages)
Read and Write CSV files in Java using Apache Commons CSV and OpenCSV
The power you need to cleanse, filter, sort, reshape, manage and analyze data from CSV files.
A simple CSV parser based on Microsoft.VisualBasic.FileIO.TextFieldParser.
A CSV reader for .NET. Fast, RFC 4180 compliant, and fault tolerant. UTF-8 only.
CSV Parser for C# without any dependency (on recent platforms).
Fast and simple CSV parser written in C
CSV Parser for Angular by Developers Hive
A browser extension that transforms csv into a readable table, in the same tab
An Electron.js App built to edit loot tables in a fast and easy manner. Win/OSX/Linux.
Micro-library of Node stream components with minimal dependencies for creating custom data processors oriented on processing huge CSV files while requiring a minimal memory footprint.
reading and writing CSV files in python using csv and pandas module
C# class giving a simplest with performance serializer functionalities to manipulate CSV strings; several test cases were executed in order to treat the particularities of a sequence of CSV characters; in this publication, is considered stable, it is implemented in productive environments with large scale of data generated or consumed in CSV
The Ultimate Tool for Reading Data in Bulk