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#java #android #big_data #deserialization #fastjson #fastjson2 #graal #graalvm_native_image #high_performance #java #java_json #json #json_deserialization #json_parser #json_path #json_serialization #json_serializer #jsonb #serialization

FASTJSON 2 is a highly performant and easy-to-use Java JSON library. It offers significant performance improvements over other popular JSON libraries like Jackson and Gson. Here are the key benefits FASTJSON 2 outperforms other JSON libraries, making it ideal for applications requiring fast data processing.
- **Advanced Features** It includes support for JSONPath, SQL You can easily integrate it into your project using Maven or Gradle dependencies.

Using FASTJSON 2 simplifies your JSON handling tasks while providing superior performance and robust features.

https://github.com/alibaba/fastjson2
#cplusplus #c #c_plus_plus #c_sharp #cross_platform #flatbuffers #go #grpc #java #javascript #json_parser #marshalling #mmap #protobuf #python #rpc #rust #serialization #serialization_library #typescript #zero_copy

FlatBuffers is a tool that helps you store and send data efficiently across different devices and programming languages. It lets you access the data directly without needing to unpack it first, which saves time and memory. Here’s how it benefits you FlatBuffers uses less memory, making it ideal for applications where space is limited.
- **Cross-Language Compatibility** You define your data structure, generate the necessary code, and then serialize and deserialize the data easily.
- **Wide Support**: It works on many operating systems like Windows, macOS, Linux, and Android, and supports numerous programming languages such as C++, Java, Python, and more.

This makes FlatBuffers a powerful tool for developing efficient and compatible software.

https://github.com/google/flatbuffers
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#cplusplus #bson #cbor #header_only #json #json_diff #json_merge_patch #json_parser #json_patch #json_pointer #json_serialization #messagepack #msgpack #rfc_6901 #rfc_6902 #rfc_7049 #rfc_7159 #rfc_8259 #stl_containers #ubjson

This library, called "JSON for Modern C++," provides a simple and intuitive way to work with JSON data in C++ programs. Here are the key benefits and features The library uses modern C++ features to make working with JSON feel natural, similar to how JSON is handled in languages like Python.
- **Trivial Integration** The library is heavily unit-tested, covering 100% of the code, including exceptional behavior, and uses tools like Valgrind and Clang Sanitizers to ensure no memory leaks.

### Key Features

- **STL-like Access** You can convert various STL containers (like `std: Support for JSON Pointer and JSON Patch (RFC 6901 and RFC 6902) for addressing and modifying parts of a JSON document.
- **Binary Formats** You can serialize and deserialize custom types using simple macros or functions.
- **Error Handling** Simple and intuitive API makes it easy to read, write, and manipulate JSON data.
- **Highly Tested** Supports various data formats and custom types, making it versatile for different use cases.
- **Efficient**: Optimized for performance, especially with binary formats.

Overall, this library simplifies working with JSON in C++ while providing robust features and reliable performance.

https://github.com/nlohmann/json
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#cplusplus #aarch64 #arm #arm64 #avx2 #avx512 #c_plus_plus #clang #clang_cl #cpp11 #gcc_compiler #json #json_parser #json_pointer #loongarch #neon #simd #sse42 #vs2019 #x64

The simdjson library is very fast and efficient for parsing JSON files. It uses special computer instructions called SIMD to parse JSON up to 4 times faster than other popular parsers. Here are the key benefits Parses JSON much quicker than other libraries.
- **Easy to Use** Ensures full JSON and UTF-8 validation without losing any data.
- **Automatic Optimization** Designed to avoid unexpected errors and surprises.

Using simdjson can significantly speed up your application's performance when dealing with large amounts of JSON data.

https://github.com/simdjson/simdjson