Rust CSV Libraries

nom is a Rust parser combinator framework used to build complex parsers for binary and text data. It functions as an abstract syntax tree generator and a bit-level binary parser, allowing users to construct structured data by combining small, reusable parsing functions. The framework provides specialized support for zero-copy binary parsing, extracting data as slices from raw byte arrays to avoid memory allocations. It also includes a streaming data parser capable of processing partial input chunks from networks or files and signaling when additional input is required. The project covers a b

Chumsky is a parser combinator library used to build high-performance parsers by composing small parsing functions into complex grammars. It provides multiple parsing engines, including recursive descent and precedence-climbing implementations for resolving the order of operations in mathematical and logical expressions. The library is distinguished by its zero-copy text parsing, which minimizes memory allocations to increase throughput, and its ability to run without a standard library for use in embedded or resource-constrained environments. It also features an error-recovering parser that

nom is a parser combinator framework for Rust used to build complex parsers by combining small, reusable parsing functions. It functions as a zero-copy parsing tool that minimizes memory overhead by returning slices of the original input instead of allocating new memory. The framework is designed for diverse data formats, serving as a binary data parser with configurable endianness and a bitstream processing library capable of extracting values of arbitrary bit length. It also functions as a streaming data parser that can process data arriving in chunks and signal when additional input is req

Pest is a Rust parsing library and automatic parser generator that transforms formal grammar definitions into functional parsers. It specializes in Parsing Expression Grammar to recognize and structure complex text patterns, providing a system for context-free grammar parsing. The library implements zero-copy tokenization and static grammar compilation to reduce runtime overhead. It supports no-std runtime compatibility, allowing the parser to be compiled for embedded or bare-metal environments where a standard library is unavailable. The project covers a range of parsing capabilities, inclu

This is a Rust serialization library for converting data structures to and from JSON strings and byte streams. It is built as a framework within the Serde ecosystem, providing both a strongly typed parser for compile-time safety and a recursive value tree for manipulating JSON data without a predefined schema. The project supports both typed and untyped processing. It can map JSON data into specific Rust types for schema conformity or parse input into a flexible, schemaless representation. It also includes macro-based utilities for the dynamic construction of JSON objects.

DuckDB is an in-process analytical database engine designed to run directly within an application process. As a zero-dependency, embedded system, it provides enterprise-grade SQL data processing capabilities without the overhead of managing a dedicated database server. It is built to handle complex analytical and aggregation tasks by storing and retrieving information in columns, allowing for high-performance relational data manipulation. The engine distinguishes itself through a columnar vectorized execution model that maximizes CPU cache efficiency during query operations. It employs adapti