lrytz/play-json — explained in plain English
Analysis updated 2026-08-08 · repo last pushed 2021-06-24
Parse incoming JSON API requests into typed Scala objects.
Validate that JSON fields meet specific rules before processing.
Build JSON responses from Scala objects to send back to clients.
Consume and navigate nested JSON from third-party services.
| lrytz/play-json | 000madz000/rfid-attendance | 00kaku/gallery-slider-block | |
|---|---|---|---|
| Language | — | TypeScript | JavaScript |
| Last pushed | 2021-06-24 | 2024-07-22 | 2021-05-19 |
| Maintenance | Dormant | Dormant | Dormant |
| Setup difficulty | easy | easy | easy |
| Complexity | 2/5 | 2/5 | 2/5 |
| Audience | developer | developer | general |
Figures from each repo's GitHub metadata at analysis time.
Add the library as a dependency in your Scala build tool like sbt.
Play JSON is a library for the Scala programming language that helps you read, write, and manipulate JSON, the common data format used to exchange information between servers, APIs, and front-end apps. It was originally built for the Play web framework but can be used on its own in any Scala project. The library gives you tools to parse a raw JSON string into a structured tree you can navigate, and to convert that JSON directly into Scala objects (and back). You can look up nested fields using simple path operators, search recursively through a document, or build JSON from scratch using a concise syntax. It also supports validation, so you can check that incoming data matches your expectations, like ensuring a latitude is between -90 and 90, before turning it into a Scala object. This is useful for any Scala developer building an API, processing web requests, or consuming third-party services that return JSON. For example, if you receive a JSON payload describing a place with residents, you can define a Scala case class for that structure and use the library's macros to automatically convert the JSON into a typed object you can work with in your code, without hand-writing all the parsing logic. A notable strength is the range of approaches it offers. For simple cases, automatic macros handle conversion with almost no boilerplate. For more complex scenarios, a functional DSL lets you define custom readers and writers with field-level validation rules. You can also fall back to manual construction or hand-written logic when you need full control.
A Scala library for reading, writing, and validating JSON data. It converts JSON into Scala objects automatically, making it easy to build APIs and process web requests.
Dormant — no commits in 2+ years (last push 2021-06-24).
The explanation does not specify the license, but as a standard Play framework library it is typically Apache 2.0, allowing free use including commercially.
Setup difficulty is rated easy, with roughly 5min to a first successful run.
Mainly developer.
This repo across BitVibe Labs
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