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Jackson JSON Processor Alternatives
Similar projects and alternatives to Jackson JSON Processor
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InfluxDB
InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
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Spring Boot
Spring Boot helps you to create Spring-powered, production-grade applications and services with absolute minimum fuss.
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Graal
GraalVM compiles Java applications into native executables that start instantly, scale fast, and use fewer compute resources 🚀
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Stream
Stream - Scalable APIs for Chat, Feeds, Moderation, & Video. Stream helps developers build engaging apps that scale to millions with performant and flexible Chat, Feeds, Moderation, and Video APIs and SDKs powered by a global edge network and enterprise-grade infrastructure.
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Checkstyle
Checkstyle is a development tool to help programmers write Java code that adheres to a coding standard. By default it supports the Google Java Style Guide and Sun Code Conventions, but is highly configurable. It can be invoked with an ANT task and a command line program.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better Jackson JSON Processor alternative or higher similarity.
Jackson JSON Processor discussion
Jackson JSON Processor reviews and mentions
Posts with mentions or reviews of Jackson JSON Processor.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2025-06-02.
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Java proxy for overlapping interfaces
If you are writing in Java and need to convert a DTO (data transfer object) to JSON before sending it out, there are libraries that will do this task for you. Jackson is one of them. It’ll use Java reflection to look for getters to figure out what data to write to JSON.
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Quarkus 3 application on AWS Lambda- Part 1 Introduction to the sample application and first Lambda performance measurements
We annotate the Lambda function with @Named("getProductById"), which will be important for mapping, and inject the implementation of DynamoProductDao. The only method handleRequest receives an object of type APIGatewayProxyRequestEvent as input, as APIGatewayRequest invokes the Lambda function, from which we retrieve the product ID by invoking requestEvent.getPathParameters().get("id") and ask our DynamoProductDao to find the product with this ID in the DynamoDB by calling productDao.getProduct(id). Depending on whether the product exists or not, we wrap the Jackson serialised response in an object of type APIGatewayProxyResponseEvent and send it back to Amazon API Gateway as a response. The source code of the Lambda function CreateProductHandler, which we use to create and persist products, looks similar.
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How to Map a JSON Column in Spring Boot With JPA 3 and Hibernate 6
As you can see, to activate JSON mapping in Hibernate you only need to annotate your column attribute with @JdbcTypeCode(SqlTypes.JSON). Hibernate will now use Jackson, the standard JSON library coming with Spring Boot, to serialize and deserialize the attribute’s value to the type specified. In particular, it will convert data to a String when reading and transform it to JSON when writing.
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JSON vs Protocol Buffers vs FlatBuffers: A Deep Dive
JSON: Jackson
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Tutorial: Build a Java SDK based on OpenAPI Spec
For JSON parsing, both Jackson and Gson are widely used in Java. Jackson is often favored for its extensive features and performance, while Gson is lighter and simpler to use. If your SDK needs advanced serialization features or works with complex JSON structures, Jackson is likely the better choice.
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Data API for Amazon Aurora Serverless v2 with AWS SDK for Java - Part 2 Executing SQL statements
We can then easily convert this string value into the array of Products using librares like Jackson.
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Consuming and Testing third party API's using Spring Webclient
The above class maps the json data to a java object we can work with. We use Lombok to generate constructors, getters and setters for our code and the Jackson Project to handle serialization and deserialization of json to pojo . We know the response is an array of objects representing the coffee and so above data structure is fit for this.
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Any library you would like to recommend to others as it helps you a lot? For me, mapstruct is one of them. Hopefully I would hear some other nice libraries I never try.
Jackson. Because JSON.
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Create a custom Jackson JsonSerializer und JsonDeserializer for mapping values
For my series of articles, I also wanted to see how this requirement to mapping values could be implemented with Jackson.
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Is rust serde unique?
In practical terms, Jackson achieves the same purpose for Java. It was born as a Json parser, but nowadays supports multiple formats and it's widely used in the Java community.
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A note from our sponsor - Stream
getstream.io | 8 Jul 2025
Stats
Basic Jackson JSON Processor repo stats
28
9,407
4.7
3 months ago
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