java

Pros of FasterXML/jackson

• Extensive documentation and community support
• Wide range of features and customization options
• Supports a variety of data formats (JSON, XML, YAML, etc.)

Cons of FasterXML/jackson

• Slightly larger footprint compared to json-iterator/java
• May have a steeper learning curve for some users

Code Comparison

json-iterator/java:

String json = "{\"name\":\"John\",\"age\":30}";
Object obj = JsonIterator.deserialize(json);

FasterXML/jackson:

String json = "{\"name\":\"John\",\"age\":30}";
ObjectMapper mapper = new ObjectMapper();
Object obj = mapper.readValue(json, Object.class);

Pros of google/gson

• Simplicity: Google's Gson is known for its simplicity and ease of use, making it a popular choice for developers who prioritize a straightforward JSON serialization and deserialization process.
• Flexibility: Gson provides a flexible API that allows for customization, such as handling custom field names, null values, and date formats.
• Widespread Adoption: As a Google-backed project, Gson has a large user base and is widely used in the Java ecosystem, making it a reliable and well-supported option.

Cons of google/gson

• Performance: Compared to json-iterator/java, Gson is generally considered to have lower performance in terms of speed and memory usage, especially for large JSON payloads.
• Limited Features: While Gson is simple and easy to use, it may lack some advanced features and functionality found in more feature-rich JSON libraries like json-iterator/java.

Code Comparison

Gson:

Gson gson = new Gson();
Person person = gson.fromJson("{\"name\":\"John Doe\",\"age\":30}", Person.class);
System.out.println(person.getName()); // Output: John Doe

json-iterator/java:

String json = "{\"name\":\"John Doe\",\"age\":30}";
Person person = JsonIterator.deserialize(json, Person.class);
System.out.println(person.getName()); // Output: John Doe

In this example, both Gson and json-iterator/java are used to deserialize a JSON string into a Person object. The code demonstrates the simplicity and ease of use of both libraries, but json-iterator/java may have a slight performance advantage due to its more advanced implementation.

Pros of Alibaba/fastjson

• Faster performance compared to json-iterator/java, especially for large JSON payloads.
• Supports a wider range of Java data types, including BigDecimal, BigInteger, and Date.
• Provides a more extensive set of features, such as support for JSON-RPC and JSON-Schema.

Cons of Alibaba/fastjson

• Slightly less strict adherence to the JSON specification compared to json-iterator/java.
• Larger codebase and dependency footprint, which may be a concern for some projects.
• Potential security vulnerabilities have been reported in the past, requiring careful monitoring and updates.

Code Comparison

json-iterator/java:

JsonIterator iter = JsonIterator.parse("{\"name\":\"Alice\",\"age\":25}");
String name = iter.readObject((field, iter) -> {
    if (field.equals("name")) {
        return iter.readString();
    } else if (field.equals("age")) {
        return iter.readInt();
    }
    return null;
});
int age = iter.readInt();

Alibaba/fastjson:

String json = "{\"name\":\"Alice\",\"age\":25}";
JSONObject jsonObject = JSON.parseObject(json);
String name = jsonObject.getString("name");
int age = jsonObject.getInteger("age");

Pros of Moshi

• Moshi provides a more intuitive and user-friendly API compared to json-iterator/java, making it easier for developers to work with JSON data.
• Moshi has better support for Kotlin, with features like inline classes and sealed classes, which can simplify the code and improve type safety.
• Moshi has a more active community and is actively maintained by Square, a well-known and respected software company.

Cons of Moshi

• Moshi is generally slower than json-iterator/java in terms of performance, especially for large JSON payloads.
• Moshi has a smaller feature set compared to json-iterator/java, with fewer customization options and less flexibility.

Code Comparison

json-iterator/java:

JsonIterator iter = JsonIterator.parse("{\"name\":\"Alice\",\"age\":25}");
String name = iter.readObject((iter, field) -> {
    if (field.equals("name")) {
        return iter.readString();
    } else if (field.equals("age")) {
        return iter.readInt();
    }
    return null;
});
int age = iter.readInt();

square/moshi:

Moshi moshi = new Moshi.Builder().build();
JsonAdapter<Person> jsonAdapter = moshi.adapter(Person.class);
Person person = jsonAdapter.fromJson("{\"name\":\"Alice\",\"age\":25}");

Pros of Kryo

• Kryo is a fast and efficient serialization library, capable of serializing and deserializing data quickly.
• Kryo supports a wide range of data types, including primitive types, collections, and custom objects.
• Kryo provides a flexible and extensible API, allowing developers to customize the serialization process to fit their specific needs.

Cons of Kryo

• Kryo has a steeper learning curve compared to json-iterator/java, as it requires more configuration and setup.
• Kryo may not be as widely adopted as json-iterator/java, which could make it more difficult to find community support and resources.

Code Comparison

json-iterator/java:

JsonIterator iter = JsonIterator.parse("{\"name\":\"Alice\",\"age\":25}");
String name = iter.readObject().get("name").toString();
int age = iter.readObject().get("age").toInt();

Kryo:

Kryo kryo = new Kryo();
ByteArrayOutputStream baos = new ByteArrayOutputStream();
Output output = new Output(baos);
kryo.writeObject(output, new Person("Alice", 25));
output.flush();
byte[] bytes = baos.toByteArray();

Input input = new Input(bytes);
Person person = kryo.readObject(input, Person.class);