Csv Parser
Showing 35 of 35 projects
Fast, reliable CSV parser for JavaScript with streaming, worker threads, and malformed input handling.
A lightweight and fast C# library for reading Microsoft Excel files (including .xls, .xlsx, .xlsb, and .csv) from .NET applications.
A Ruby library for reading and parsing spreadsheet files (Excel, OpenOffice, CSV) with a unified interface.
A fast, header-only C++11 library for reading CSV files with automatic column rearrangement, threading for I/O overlap, and configurable parsing features.
A fast and flexible CSV reader and writer for Rust with Serde support for easy data serialization.
A high-performance CSV ingestion and generation library for Ruby with C acceleration, designed for real-world data with intelligent defaults.
A high-performance streaming CSV parser for Node.js that converts CSV to JSON at up to 90,000 rows per second.
A modern, minimal, and high-performance .NET library for reading and writing CSV/TSV files with zero allocations and SIMD-accelerated parsing.
A high-performance, fully-featured CSV parser and serializer for modern C++ with streaming, random access, and robust format handling.
A header-only C++11 CSV parser library with easy-to-use API for reading and writing CSV files.
A C++ library for parallel text file reading with CSV support and Python bindings.
A fast, idiomatic, and dependency-free Go library for mapping between CSV and Go values.
A fast and friendly R package for reading rectangular data from delimited files like CSV and TSV.
A suite of extremely fast and reliable parsers for Java with a consistent interface for multiple file formats.
A curated list of awesome tools, libraries, and resources for working with CSV files.
A simple, fast, and flexible ETL framework for .NET with built-in readers and writers for CSV, JSON, XML, Parquet, and more.
A Swift library for reading and writing CSV files with support for Decodable serialization and RFC4180 compliance.
A fast, lightweight, and RFC 4180 compliant CSV library for Java with zero dependencies and a ~90 KiB footprint.
The fastest delimited file reader for R, using lazy loading and multi-threading to achieve speeds over 1 GB/sec.
A fast, header-only CSV parser and writer library for modern C++ with memory-mapped file support.
RFC 4180 compliant, composable CSV parsing and encoding library for Elixir.
A Swift library for reading and writing CSV files with imperative row-by-row control and declarative Codable support.
A fast and lightweight Java micro ORM for mapping database results and CSV files to POJOs.
A parser and formatter for delimiter-separated values like CSV and TSV, based on RFC 4180.
A high-performance, extensible CSV parsing library for .NET with support for synchronous and asynchronous reading.
A high-performance SIMD CSV parser library and extensible CLI utility for tabular data processing.
A fast, promise-based CSV parser for Node.js that wraps csv-parser for convenient usage.
A zero-allocation, high-performance parser for fixed-length and variable-length files in .NET, using expression trees and Span.
Jackson extension for reading and writing CSV data as JSON-like data structures.
A Ruby gem for reading CSV files with best practices out-of-the-box and zero configuration.
A CSV parser for Swift that conforms to RFC 4180 standards for reliable CSV file handling.
A Go library for reading and writing CSV files using struct tags for mapping fields.
A fast, lightweight, single-header C++17 CSV parser library that parses rows and cells lazily on demand.
A Swift library for fast reading and writing of CSV files with JSON conversion support.
An efficient, easy-to-use .NET library for parsing and writing CSV files, compliant with RFC4180.
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