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Square Moshi

Apps using Square Moshi

Download a list of all 116K Square Moshi customers with contacts.

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App Installs Publisher Publisher Email Publisher Social Publisher Website
6B Meta Platforms, Inc. *****@fb.com
facebook twitter instagram
https://portal.facebook.com/app/
5B Instagram *****@instagram.com
linkedin
http://instagram.com/
2B Netflix, Inc. *****@netflix.com
linkedin
http://www.netflix.com/
2B Xiaomi Inc. *****@gmail.com
facebook twitter instagram
http://www.xiaomi.com/
2B Spotify AB *****@spotify.com
twitter instagram
https://artists.spotify.com/
1B X Corp. *****@vine.co
twitter
http://vine.co/
1B LinkedIn *****@linkedin.com
linkedin
http://www.linkedin.com/
1B Samsung Electronics Co., Ltd. *****@samsung.com
facebook twitter instagram
http://www.samsung.com/sec
1B Dropbox, Inc. *****@dropbox.com
facebook twitter
http://dropbox.com/paper
1B Xiaomi Inc. *****@gmail.com
facebook twitter instagram
http://www.xiaomi.com/

Full list contains 116K apps using Square Moshi in the U.S, of which 100K are currently active and 56K have been updated over the past year, with publisher contacts included.

List updated on 21th August 2024

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Overview: What is Square Moshi?

Square Moshi is a powerful and versatile JSON parsing library designed specifically for Java and Android developers. This SDK, developed by Square, Inc., provides a seamless and efficient way to convert JSON data to Java objects and vice versa. Moshi, which is the Japanese word for "convert," aptly describes the library's primary function of transforming data between different formats. The Square Moshi library is built with performance and flexibility in mind, making it an excellent choice for developers working on data-intensive applications or those requiring fast and reliable JSON processing. One of the key features of Square Moshi is its ability to handle complex JSON structures with ease. The library utilizes a type-safe approach, ensuring that developers can work with strongly-typed objects rather than dealing with raw JSON strings. This not only reduces the likelihood of runtime errors but also improves code readability and maintainability. Square Moshi supports custom type adapters, allowing developers to extend its functionality to handle specific data formats or complex object mappings. Another notable aspect of Square Moshi is its lightweight nature. The library has a small footprint, which is particularly beneficial for Android developers who need to be mindful of app size and performance. Despite its compact size, Square Moshi offers robust features such as null-safety, which helps prevent common null pointer exceptions that can occur when working with JSON data. Square Moshi also provides excellent integration with other popular libraries in the Square ecosystem, such as Retrofit for network requests. This seamless integration allows developers to create efficient and streamlined API communication workflows. The library's support for Kotlin, the increasingly popular programming language for Android development, further extends its versatility and appeal to a wider range of developers. One of the standout features of Square Moshi is its reflection-free operation mode. This mode enables the library to generate adapters at compile-time, resulting in faster runtime performance and reduced memory usage. This feature is particularly beneficial for large-scale applications or those running on resource-constrained devices. Security is another area where Square Moshi shines. The library implements safeguards against common JSON vulnerabilities, such as denial of service attacks through deeply nested structures. This built-in security feature provides developers with peace of mind when working with potentially untrusted JSON data sources.

Square Moshi Key Features

  • Square Moshi is a modern JSON library for Kotlin and Java, developed by Square, Inc. to provide efficient and type-safe JSON serialization and deserialization.
  • It offers a clean and intuitive API, making it easy for developers to work with JSON data in their Android and Java applications.
  • Moshi supports both runtime and compile-time code generation, allowing for optimal performance and flexibility in different use cases.
  • The library uses adapters to convert between JSON and Java objects, providing a high degree of customization for complex data structures.
  • Moshi integrates seamlessly with Kotlin data classes, reducing boilerplate code and improving developer productivity.
  • It offers built-in support for common Java types, including collections, maps, and enums, simplifying the serialization process.
  • The library provides nullability annotations to ensure type safety and prevent null pointer exceptions during JSON parsing.
  • Moshi supports custom type adapters, allowing developers to handle complex serialization scenarios or legacy JSON formats.
  • It offers efficient memory usage and fast performance, making it suitable for both small and large-scale applications.
  • The library includes support for JSON streaming, enabling the processing of large JSON files without loading the entire content into memory.
  • Moshi provides a reflective API for dynamic JSON handling, useful in scenarios where the structure of the JSON is not known at compile-time.
  • It offers seamless integration with popular networking libraries like Retrofit, simplifying API communication in Android applications.
  • The library supports custom field naming strategies, allowing developers to map JSON keys to Java field names according to their preferences.
  • Moshi includes built-in support for lenient parsing, making it more forgiving when dealing with malformed or non-standard JSON data.
  • It provides a compact and lightweight implementation, minimizing the overall size of applications that include the library.
  • The library offers extensive documentation and examples, making it easy for developers to get started and implement advanced features.
  • Moshi supports JSON Pretty Printing, allowing developers to generate human-readable JSON output for debugging or logging purposes.
  • It includes built-in support for handling date and time formats, simplifying the serialization of temporal data.
  • The library offers a flexible configuration system, allowing developers to customize its behavior to suit specific project requirements.
  • Moshi provides robust error handling and informative error messages, making it easier to diagnose and fix JSON-related issues in applications.

Square Moshi Use Cases

  • Square Moshi is a JSON parsing and serialization library for Android and Java applications, offering several use cases that enhance data handling and API integration. One common use case is in mobile app development, where Moshi can be used to efficiently parse JSON responses from RESTful APIs, converting them into Java objects for easy manipulation within the application. This is particularly useful for e-commerce apps that need to display product information, pricing, and inventory data retrieved from a server.
  • Another use case for Square Moshi is in creating robust data models for complex JSON structures. The library's ability to handle nested objects and arrays makes it ideal for working with intricate data schemas, such as those found in social media platforms or content management systems. Developers can define custom adapters to handle specific data types or formatting requirements, ensuring that the parsed data is consistent and properly structured for use within the application.
  • Square Moshi is also valuable in scenarios where data needs to be serialized back into JSON format for storage or transmission. This is particularly useful in applications that require offline functionality or need to cache data locally. By using Moshi to serialize Java objects into JSON strings, developers can easily store complex data structures in local databases or file systems, allowing for seamless synchronization when an internet connection becomes available.
  • In the context of microservices architecture, Square Moshi can be employed to facilitate communication between different services. By standardizing the JSON parsing and serialization process across multiple microservices, developers can ensure consistent data handling and reduce the likelihood of compatibility issues. This is especially beneficial in large-scale enterprise applications where multiple teams may be working on different components of the system.
  • Square Moshi's lightweight nature and high performance make it an excellent choice for resource-constrained environments, such as IoT devices or wearable technology. In these scenarios, the library can be used to efficiently process JSON data from sensors or other input sources, allowing for real-time data analysis and decision-making without putting undue strain on limited system resources.
  • Lastly, Square Moshi can be leveraged in testing and quality assurance processes. By using the library to generate mock JSON data or parse test fixtures, developers can create more comprehensive unit tests and integration tests for their applications. This helps ensure that the application's data handling capabilities are robust and can handle a wide range of JSON inputs, ultimately leading to more reliable and stable software.

Alternatives to Square Moshi

  • Gson: Developed by Google, Gson is a popular Java library for JSON serialization and deserialization. It offers a simple and intuitive API, making it easy to convert Java objects to JSON and vice versa. Gson supports complex object hierarchies and custom type adapters, allowing for flexible handling of various data structures.
  • Jackson: A high-performance JSON processor for Java, Jackson provides a comprehensive set of data binding capabilities. It offers three different APIs: streaming, tree model, and data binding, allowing developers to choose the most suitable approach for their specific use case. Jackson is known for its excellent performance and extensibility.
  • Kotlinx.serialization: Designed specifically for Kotlin, this library provides a powerful and flexible serialization framework. It supports JSON, as well as other formats like CBOR and ProtoBuf. Kotlinx.serialization integrates seamlessly with Kotlin's language features, making it a natural choice for Kotlin-based projects.
  • FastJSON: Developed by Alibaba, FastJSON is a high-performance JSON processor for Java. It boasts impressive serialization and deserialization speeds, making it suitable for applications with high-performance requirements. FastJSON also supports various customization options and additional features like circular reference detection.
  • JSON.simple: A lightweight JSON parsing library for Java, JSON.simple offers a straightforward approach to working with JSON data. While it may lack some advanced features found in other libraries, its simplicity makes it an excellent choice for smaller projects or when minimal dependencies are desired.
  • Klaxon: A Kotlin library for parsing JSON, Klaxon provides a clean and idiomatic API for working with JSON data in Kotlin projects. It supports both static and dynamic typing, allowing developers to choose the most appropriate approach for their use case. Klaxon also offers features like custom converters and streaming support.
  • LoganSquare: An Android-focused JSON parsing and serialization library, LoganSquare is designed for high performance on mobile devices. It uses annotation processing to generate JSON serializers and deserializers at compile-time, resulting in faster runtime performance compared to reflection-based libraries.
  • Moshi: Created by Square, the same company behind Retrofit, Moshi is a modern JSON library for Android and Java. It offers a clean API, efficient parsing, and seamless Kotlin support. Moshi is designed to be easy to use while providing powerful features like custom adapters and reflection-free operation.
  • Jsoniter: A fast and flexible JSON parser and serializer for Java, JsonIter focuses on performance and ease of use. It offers a streaming API for parsing large JSON documents efficiently and supports both reflection-based and codegen-based approaches for maximum flexibility.
  • JSONP (JSON Processing): Part of the Java EE specification, JSONP provides a standard API for parsing, generating, transforming, and querying JSON data. It offers both streaming and object model APIs, allowing developers to choose the most suitable approach for their specific requirements. JSONP is particularly useful in enterprise Java applications.

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