# simd-lite/simd-json **Attribution required: if you use, quote, or summarise this content, you must credit and link back to [awesome-repositories.com](https://awesome-repositories.com/repository/simd-lite-simd-json).** 1,402 stars · 101 forks · Rust · Apache-2.0 ## Links - GitHub: https://github.com/simd-lite/simd-json - awesome-repositories: https://awesome-repositories.com/repository/simd-lite-simd-json.md ## Topics `hacktoberfest` `json` `rust` `rust-crate` `simd` ## Description This project is a high-performance JSON parsing library for Rust that utilizes hardware-accelerated instructions to process complex data structures. It functions as a type-safe serialization tool, mapping raw JSON strings into native language objects while providing the flexibility to handle dynamic document structures when schemas are unknown or frequently changing. The library distinguishes itself through its use of SIMD-accelerated parsing and bitmask-based structural identification, which allow it to scan and tokenize documents by processing multiple bytes simultaneously. It employs runtime instruction dispatch to detect host processor capabilities, ensuring that the most efficient instruction set is selected for the current hardware environment. To further enhance throughput, the engine utilizes a tape-based document representation and zero-copy data access, which minimize memory allocations and pointer chasing during traversal. Beyond its core parsing capabilities, the library supports the processing of large numeric values that exceed the capacity of standard integer or floating-point types. It integrates with standard serialization interfaces to ensure consistent data handling and provides optimized hash lookups for managing object keys. The project is distributed as a crate, providing a standardized interface for developers to incorporate high-speed data processing into their applications. ## Tags ### Part of an Awesome List - [JSON Parsing](https://awesome-repositories.com/f/awesome-lists/data/json-parsing.md) — Processes strings using high-speed hardware instructions to achieve rapid serialization and deserialization of complex data structures. ([source](https://github.com/simd-lite/simd-json#readme)) - [Dynamic Schema Parsing](https://awesome-repositories.com/f/awesome-lists/devtools/runtime-and-data-handling/dynamic-schema-parsing.md) — Accesses and manipulates flexible JSON document structures when the underlying data schema is unknown or changes frequently. ### Operating Systems & Systems Programming - [Hardware-Accelerated JSON Processing](https://awesome-repositories.com/f/operating-systems-systems-programming/hardware-accelerated-json-processing.md) — Provides high-performance JSON parsing by leveraging SIMD instructions and runtime-detected hardware optimizations to maximize data throughput. - [CPU Instruction Optimizations](https://awesome-repositories.com/f/operating-systems-systems-programming/cpu-instruction-optimizations.md) — Selects the most efficient processor instruction sets at runtime to maximize data throughput while maintaining binary portability. ### Data & Databases - [JSON-to-Object Mappers](https://awesome-repositories.com/f/data-databases/custom-type-converters/json-converters/graph-to-json-converters/json-to-object-mappers.md) — Converts raw strings into typed objects or flexible data representations using standard serialization interfaces. ([source](https://github.com/simd-lite/simd-json/blob/main/README.md)) - [Parsing Accelerators](https://awesome-repositories.com/f/data-databases/data-engineering-infrastructure/data-extraction-ingestion/data-parsing/simd-parsers/simd-accelerated-data-processors/parsing-accelerators.md) — Uses specialized hardware instructions to process multiple bytes of data simultaneously for significantly faster document scanning and tokenization. - [Data Type Serialization](https://awesome-repositories.com/f/data-databases/data-type-managers/dynamic-type-managers/custom-type-serializers/data-type-serialization.md) — Converts raw JSON strings into strongly typed language objects to ensure consistent data handling and seamless application integration. ([source](https://github.com/simd-lite/simd-json#readme)) - [Dynamic Document Structures](https://awesome-repositories.com/f/data-databases/dynamic-data-structures/dynamic-document-structures.md) — Creates flexible document structures for accessing and manipulating data when the underlying schema remains unknown or changes frequently. ([source](https://github.com/simd-lite/simd-json#readme)) - [Runtime Hardware Optimizers](https://awesome-repositories.com/f/data-databases/hardware-acceleration/runtime-hardware-optimizers.md) — Selects the most efficient instruction set at runtime based on host processor capabilities to maximize data throughput. ([source](https://github.com/simd-lite/simd-json#readme)) - [JSON Serializers](https://awesome-repositories.com/f/data-databases/text-to-json-converters/json-serializers.md) — Integrates with standard serialization interfaces to provide type-safe mapping between raw JSON strings and native language objects. - [Zero-Copy Data Access](https://awesome-repositories.com/f/data-databases/zero-copy-data-access.md) — References raw input strings directly within the parsed structure to avoid unnecessary memory allocations and data duplication during processing. ### Programming Languages & Runtimes - [JSON Parsing](https://awesome-repositories.com/f/programming-languages-runtimes/json-parsing.md) — Implements a high-speed JSON parsing engine that maps raw strings into native data structures using zero-copy access and tape-based representation. - [Hardware Dispatchers](https://awesome-repositories.com/f/programming-languages-runtimes/runtime-execution-environments/runtime-environments/runtime-internals-foundations/runtime-architecture/hardware-dispatchers.md) — Detects host processor capabilities at startup to select the most efficient hardware-specific instruction set for execution. - [Structural Identification](https://awesome-repositories.com/f/programming-languages-runtimes/language-features-paradigms/type-system-tools/type-safety/bitmask/structural-identification.md) — Employs bitwise operations on input chunks to rapidly locate structural characters like braces and quotes without branching logic. ### Software Engineering & Architecture - [Serialization Mappings](https://awesome-repositories.com/f/software-engineering-architecture/abstract-data-types/generic-data-abstractions/generic-data-structures/serialization-mappings.md) — Integrates with standard language interfaces to transform raw parsed tokens into strongly typed objects or flexible dynamic data structures. - [Tape-Based Representations](https://awesome-repositories.com/f/software-engineering-architecture/block-based-data-models/data-block-memory-management/contiguous-memory-buffers/tape-based-representations.md) — Stores parsed JSON elements in a flat, contiguous memory buffer to minimize pointer chasing and improve cache locality during traversal.