Pros of simdjson

• Utilizes SIMD instructions for faster parsing
• Supports in-situ parsing, reducing memory usage
• Offers both DOM and streaming APIs for flexibility

Cons of simdjson

• Limited to parsing only, no JSON generation capabilities
• Requires CPU support for specific SIMD instructions
• Larger codebase and more complex implementation

Code Comparison

simdjson:

simdjson::dom::parser parser;
simdjson::dom::element doc = parser.parse(json_string);
std::string_view result = doc["key"];

yyjson:

yyjson_doc *doc = yyjson_read(json_string, strlen(json_string), 0);
yyjson_val *val = yyjson_obj_get(yyjson_doc_get_root(doc), "key");
const char *result = yyjson_get_str(val);

Key Differences

• simdjson focuses on high-performance parsing using SIMD instructions
• yyjson offers a more comprehensive JSON handling solution, including both parsing and generation
• simdjson provides C++ APIs, while yyjson is primarily C-based
• yyjson has a smaller codebase and simpler implementation
• simdjson may have better performance for large JSON documents on supported hardware

Both libraries are well-maintained and offer efficient JSON parsing capabilities, but they cater to different use cases and programming environments.

Pros of rapidjson

• More mature and widely adopted in production environments
• Supports both DOM and SAX parsing styles
• Extensive documentation and community support

Cons of rapidjson

• Larger codebase and memory footprint
• Slower parsing and serialization speed compared to yyjson
• More complex API, potentially steeper learning curve

Code Comparison

yyjson:

yyjson_doc *doc = yyjson_read(json, len, 0);
yyjson_val *root = yyjson_doc_get_root(doc);
const char *name = yyjson_get_str(yyjson_obj_get(root, "name"));
yyjson_doc_free(doc);

rapidjson:

Document d;
d.Parse(json);
const char* name = d["name"].GetString();

Key Differences

• yyjson is written in C, while rapidjson is in C++
• yyjson focuses on simplicity and performance, while rapidjson offers more features
• yyjson has a smaller codebase and is easier to integrate into projects
• rapidjson provides more flexibility with its DOM and SAX parsing options

Both libraries are high-performance JSON parsers, but they cater to different use cases. yyjson excels in scenarios where speed and simplicity are paramount, while rapidjson is better suited for complex applications requiring advanced JSON manipulation features.

Pros of json

• Widely adopted and well-established in the C++ community
• Extensive documentation and examples available
• Supports both SAX and DOM parsing styles

Cons of json

• Slower performance compared to yyjson, especially for large JSON files
• Higher memory usage due to its design and implementation
• More complex API, which may require a steeper learning curve

Code Comparison

yyjson:

yyjson_doc *doc = yyjson_read(json_str, strlen(json_str), 0);
yyjson_val *root = yyjson_doc_get_root(doc);
const char *name = yyjson_get_str(yyjson_obj_get(root, "name"));
yyjson_doc_free(doc);

json:

auto j = json::parse(json_str);
std::string name = j["name"];

While json provides a more concise API for simple operations, yyjson offers finer control over memory allocation and parsing options. yyjson's C API may be more verbose but allows for better performance optimization in certain scenarios.

Both libraries support serialization and deserialization of JSON data, but yyjson focuses on high performance and low memory usage, making it particularly suitable for applications dealing with large JSON files or requiring minimal resource consumption.

Pros of nativejson-benchmark

• Comprehensive benchmarking of multiple JSON libraries
• Provides detailed performance metrics for parsing and serialization
• Includes a wide range of test cases and data sets

Cons of nativejson-benchmark

• Primarily focused on benchmarking, not a standalone JSON library
• May not reflect real-world usage scenarios for all applications
• Requires more setup and configuration to use in projects

Code Comparison

nativejson-benchmark (benchmarking setup):

void BM_RapidJsonInsitu(benchmark::State& state) {
    for (auto _ : state)
        ParseInsitu<rapidjson::Document>(json);
}
BENCHMARK(BM_RapidJsonInsitu);

yyjson (parsing example):

yyjson_doc *doc = yyjson_read(json, len, 0);
yyjson_val *root = yyjson_doc_get_root(doc);
// Use the parsed JSON
yyjson_doc_free(doc);

Summary

nativejson-benchmark is a tool for comparing JSON library performance, while yyjson is a high-performance JSON library. nativejson-benchmark offers comprehensive benchmarking across multiple libraries, but requires more setup. yyjson provides a simple API for JSON parsing and serialization, focusing on performance and ease of use in applications.

Pros of jsmn

• Extremely lightweight and simple to use
• No dynamic memory allocation, suitable for embedded systems
• Single-file implementation, easy to integrate

Cons of jsmn

• Limited functionality compared to yyjson
• Requires manual parsing of JSON values
• No built-in support for JSON creation or modification

Code Comparison

jsmn:

jsmn_parser p;
jsmntok_t t[128];
jsmn_init(&p);
int r = jsmn_parse(&p, json_string, strlen(json_string), t, sizeof(t)/sizeof(t[0]));

yyjson:

yyjson_doc *doc = yyjson_read(json_string, strlen(json_string), 0);
yyjson_val *root = yyjson_doc_get_root(doc);

Summary

jsmn is a minimalist JSON parser focused on simplicity and low memory footprint, making it ideal for embedded systems. However, it lacks advanced features and requires more manual work for parsing and handling JSON data.

yyjson, on the other hand, offers a more comprehensive JSON manipulation library with better performance and easier-to-use APIs. It provides additional functionality like JSON creation and modification, making it more suitable for complex JSON processing tasks in larger applications.

The choice between the two depends on the specific requirements of the project, such as memory constraints, performance needs, and the complexity of JSON operations required.