Top Related Projects
JSON for Modern C++
A fast JSON parser/generator for C++ with both SAX/DOM style API
Parsing gigabytes of JSON per second : used by Facebook/Meta Velox, the Node.js runtime, ClickHouse, WatermelonDB, Apache Doris, Milvus, StarRocks
C/C++ JSON parser/generator benchmark
Quick Overview
JsonCpp is a C++ library that allows manipulating JSON values, including serialization and deserialization to and from strings. It aims to be simple and efficient, with a focus on usability and performance. The library provides a stable and well-documented API for working with JSON data in C++ applications.
Pros
- Easy to use and integrate into existing C++ projects
- Supports both reading and writing JSON data
- Provides a flexible and intuitive API for JSON manipulation
- Well-documented and actively maintained
Cons
- Performance may not be as high as some other JSON libraries
- Limited support for advanced JSON features like JSON Pointer or JSON Patch
- Requires C++11 or later, which may be an issue for older codebases
- Larger binary size compared to some lightweight alternatives
Code Examples
- Parsing JSON from a string:
#include <json/json.h>
#include <iostream>
int main() {
const std::string rawJson = R"({"name": "John", "age": 30, "city": "New York"})";
Json::Value root;
Json::Reader reader;
if (reader.parse(rawJson, root)) {
std::cout << "Name: " << root["name"].asString() << std::endl;
std::cout << "Age: " << root["age"].asInt() << std::endl;
std::cout << "City: " << root["city"].asString() << std::endl;
}
return 0;
}
- Creating and writing JSON:
#include <json/json.h>
#include <iostream>
int main() {
Json::Value root;
root["name"] = "Alice";
root["age"] = 25;
root["hobbies"].append("reading");
root["hobbies"].append("painting");
Json::StreamWriterBuilder writer;
std::cout << Json::writeString(writer, root) << std::endl;
return 0;
}
- Modifying existing JSON data:
#include <json/json.h>
#include <iostream>
int main() {
Json::Value root;
root["user"]["name"] = "Bob";
root["user"]["email"] = "bob@example.com";
// Modify existing values
root["user"]["name"] = "Robert";
root["user"]["age"] = 40;
// Remove a key
root["user"].removeMember("email");
Json::StreamWriterBuilder writer;
std::cout << Json::writeString(writer, root) << std::endl;
return 0;
}
Getting Started
To use JsonCpp in your project:
- Install JsonCpp using your package manager or build it from source.
- Include the necessary headers in your C++ file:
#include <json/json.h>
- Link against the JsonCpp library when compiling your project.
- Use the
Json::Value
class to work with JSON data, andJson::Reader
orJson::CharReader
for parsing. - For writing JSON, use
Json::StreamWriterBuilder
orJson::FastWriter
.
Example compilation command:
g++ -std=c++11 your_file.cpp -ljsoncpp -o your_program
Competitor Comparisons
JSON for Modern C++
Pros of nlohmann/json
- Header-only library, easier to integrate into projects
- More modern C++ design with extensive use of templates and STL
- Intuitive API with JSON literals and automatic type inference
Cons of nlohmann/json
- Potentially longer compile times due to heavy template usage
- May have a steeper learning curve for developers less familiar with modern C++
- Larger binary size in some cases
Code Comparison
nlohmann/json:
#include <nlohmann/json.hpp>
using json = nlohmann::json;
json j = {{"name", "John"}, {"age", 30}};
std::string s = j.dump();
jsoncpp:
#include <json/json.h>
Json::Value root;
root["name"] = "John";
root["age"] = 30;
Json::FastWriter writer;
std::string s = writer.write(root);
Both libraries offer JSON parsing and serialization capabilities, but nlohmann/json provides a more modern and intuitive API. jsoncpp may be preferred for projects requiring broader compiler support or where compile-time performance is critical. The choice between the two often depends on specific project requirements and developer preferences.
A fast JSON parser/generator for C++ with both SAX/DOM style API
Pros of rapidjson
- Significantly faster parsing and serialization performance
- Lower memory usage and footprint
- Support for in-situ parsing, reducing memory allocations
Cons of rapidjson
- Steeper learning curve due to more complex API
- Less intuitive for simple use cases
- Requires more careful memory management
Code Comparison
jsoncpp:
Json::Value root;
Json::Reader reader;
bool parsingSuccessful = reader.parse(jsonString, root);
if (parsingSuccessful) {
std::string name = root["name"].asString();
}
rapidjson:
rapidjson::Document document;
document.Parse(jsonString);
if (!document.HasParseError()) {
const char* name = document["name"].GetString();
}
Both libraries offer JSON parsing and serialization capabilities, but rapidjson focuses on performance and efficiency at the cost of a more complex API. jsoncpp provides a simpler interface that's easier to use for basic tasks but may not be as performant for large-scale applications. The choice between the two depends on the specific requirements of your project, balancing ease of use with performance needs.
Parsing gigabytes of JSON per second : used by Facebook/Meta Velox, the Node.js runtime, ClickHouse, WatermelonDB, Apache Doris, Milvus, StarRocks
Pros of simdjson
- Extremely fast JSON parsing using SIMD instructions
- Low memory usage and zero-copy parsing
- Designed for modern CPUs and optimized for performance
Cons of simdjson
- Requires C++17 or later, limiting compatibility with older systems
- Less mature and widely adopted compared to JsonCpp
- Focused primarily on parsing, with fewer high-level manipulation features
Code Comparison
simdjson:
simdjson::dom::parser parser;
simdjson::dom::element doc = parser.parse(json_string);
std::string_view result = doc["key"];
JsonCpp:
Json::Value root;
Json::Reader reader;
reader.parse(json_string, root);
std::string result = root["key"].asString();
Key Differences
- simdjson is designed for high-performance parsing, while JsonCpp offers a more comprehensive JSON manipulation toolkit
- simdjson uses a DOM-style API, whereas JsonCpp provides both DOM and SAX-style interfaces
- simdjson is more suitable for projects requiring fast parsing of large JSON datasets, while JsonCpp is better for general-purpose JSON handling and manipulation
Use Cases
- Choose simdjson for applications that prioritize parsing speed and efficiency
- Opt for JsonCpp when working with older codebases or requiring more extensive JSON manipulation features
C/C++ JSON parser/generator benchmark
Pros of nativejson-benchmark
- Focuses on performance benchmarking of JSON parsers
- Provides comprehensive comparisons across multiple JSON libraries
- Useful for developers selecting a JSON parser based on performance metrics
Cons of nativejson-benchmark
- Not a JSON parsing library itself, unlike jsoncpp
- Limited to benchmarking functionality, doesn't offer parsing capabilities
- May require more setup and configuration for use in projects
Code Comparison
nativejson-benchmark (benchmark execution):
int main() {
Benchmark benchmark;
benchmark.runOnce<RapidJsonInsituParser>();
benchmark.runOnce<JsoncppReader>();
benchmark.printResults();
return 0;
}
jsoncpp (parsing JSON):
Json::Value root;
Json::Reader reader;
bool parsingSuccessful = reader.parse(jsonString, root);
if (parsingSuccessful) {
std::string name = root["name"].asString();
}
nativejson-benchmark is primarily used for comparing JSON parser performance, while jsoncpp is a full-fledged JSON parsing library. The code examples illustrate their different purposes: nativejson-benchmark runs benchmarks on various parsers, while jsoncpp directly parses JSON data. Choose nativejson-benchmark for performance analysis and jsoncpp for actual JSON parsing in your projects.
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JsonCpp
JSON is a lightweight data-interchange format. It can represent numbers, strings, ordered sequences of values, and collections of name/value pairs.
JsonCpp is a C++ library that allows manipulating JSON values, including serialization and deserialization to and from strings. It can also preserve existing comment in unserialization/serialization steps, making it a convenient format to store user input files.
Documentation
JsonCpp documentation is generated using Doxygen.
A note on backward-compatibility
1.y.z
is built with C++11.0.y.z
can be used with older compilers.00.11.z
can be used both in old and new compilers.- Major versions maintain binary-compatibility.
Special note
The branch 00.11.z
is a new branch, its major version number 00
is to show that it is
different from 0.y.z
and 1.y.z
, the main purpose of this branch is to make a balance
between the other two branches. Thus, users can use some new features in this new branch
that introduced in 1.y.z, but can hardly applied into 0.y.z.
Using JsonCpp in your project
The vcpkg dependency manager
You can download and install JsonCpp using the vcpkg dependency manager:
git clone https://github.com/Microsoft/vcpkg.git
cd vcpkg
./bootstrap-vcpkg.sh
./vcpkg integrate install
./vcpkg install jsoncpp
The JsonCpp port in vcpkg is kept up to date by Microsoft team members and community contributors. If the version is out of date, please create an issue or pull request on the vcpkg repository.
Amalgamated source
https://github.com/open-source-parsers/jsoncpp/wiki/Amalgamated-(Possibly-outdated)
The Meson Build System
If you are using the Meson Build System, then you can get a wrap file by downloading it from Meson WrapDB, or simply use meson wrap install jsoncpp
.
Other ways
If you have trouble, see the Wiki, or post a question as an Issue.
License
See the LICENSE
file for details. In summary, JsonCpp is licensed under the
MIT license, or public domain if desired and recognized in your jurisdiction.
Top Related Projects
JSON for Modern C++
A fast JSON parser/generator for C++ with both SAX/DOM style API
Parsing gigabytes of JSON per second : used by Facebook/Meta Velox, the Node.js runtime, ClickHouse, WatermelonDB, Apache Doris, Milvus, StarRocks
C/C++ JSON parser/generator benchmark
Convert designs to code with AI
Introducing Visual Copilot: A new AI model to turn Figma designs to high quality code using your components.
Try Visual Copilot