Search Results for "json-taglib"
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Showing 17 open source projects for "json-taglib"
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1
ZIO JSON
Fast, secure JSON library with tight ZIO integration
ZIO Json is a fast and secure JSON library with tight ZIO integration. The goal of this project is to create the best all-round JSON library for Scala. Extreme performance is achieved by decoding JSON directly from the input source into business objects (docs/inspired by plokhotnyuk). Although not a requirement, the latest advances in Java Loom can be used to support arbitrarily large payloads with near-zero overhead. Best-in-class security is achieved with an aggressive early exit strategy... -
2
akka-http-json
Integrate some of the best JSON libs in Scala with Akka HTTP
akka-http-json provides JSON (un)marshalling support for Akka HTTP. Use respective support trait or object, e.g. ArgonautSupport, FailFastCirceSupport, etc. into your Akka HTTP code which is supposed to (un)marshal from/to JSON. Don't forget to provide the type class instances for the respective JSON libraries, if needed. -
3
Eclair
A scala implementation of the Lightning Network
Eclair (French for Lightning) is a Scala implementation of the Lightning Network. This software follows the Lightning Network Specifications (BOLTs). Other implementations include c-lightning, lnd, electrum, and rust-lightning. Eclair offers a feature-rich HTTP API that enables application developers to easily integrate. Eclair's JSON API should NOT be accessible from the outside world (similarly to Bitcoin Core API). Eclair requires Bitcoin Core 0.20.1 or 0.21.1. (other versions of Bitcoin... -
4
circe
Yet another JSON library for Scala
circe is a JSON library for Scala (and Scala.js). -
At ROLLER, we're passionate about empowering leisure and entertainment businesses to reach new heights of success. With a track record of serving 1,500+ customers across 25 countries, including some of the most renowned names in the attractions industry, including SkyZone, Altitude, American Dream, Uptown Jungle, Flip Out, WhoaZone, Oxygen, Innoflate, and Jumpsquare, we understand the unique needs of playcenters, family entertainment centers, wake parks, water parks, trampoline parks, theme parks, amusement parks, indoor climbing facilities, children's museums, zoos, aquariums and more.
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5
Play Framework
A high velocity web framework
Play Framework makes it easy to build web applications with Java & Scala. The Play Framework combines productivity and performance making it easy to build scalable web applications with Java and Scala. Play is developer friendly with a "just hit refresh" workflow and built-in testing support. With Play, applications scale predictably due to a stateless and non-blocking architecture. By being RESTful by default, including assets compilers, JSON & WebSocket support, Play is a perfect fit... -
6
Jawn
Jawn is for parsing jay-sawn (JSON)
The term "jawn" comes from the Philadelphia area. It conveys about as much information as "thing" does. I chose the name because I had moved to Montreal so I remembered Philly fondly. Also, there isn't a better way to describe objects encoded in JSON than "things". Finally, we get a catchy slogan. Jawn was designed to parse JSON into an AST as quickly as possible. Currently, Jawn is competitive with the fastest Java JSON libraries (GSON and Jackson) and in the author's benchmarks, it often wins... -
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jsoniter-scala
Scala macros for compile-time generation of safe and ultra-fast JSON
Scala macros for compile-time generation of safe and ultra-fast JSON codecs. This library had started from macros that reused jsoniter (json-iterator) for Java reader and writer but then the library evolved to have its own core of mechanics for parsing and serialization. The idea to generate codecs by Scala macros and main details was borrowed from Kryo Macros and adapted for the needs of the JSON domain. Validate parsed values safely with the fail-fast approach and clear reporting, provide... -
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Airframe
Essential Building Blocks for Scala
Airframe is an essential building block for developing applications in Scala, including logging, object serialization using JSON or MessagePack, dependency injection, HTTP server/client with RPC support, functional testing with AirSpec, etc. Airframe RPC supports seamless integration of servers and clients using Scala as RPC interfaces. AirSpec is a simple unit testing framework for Scala and Scala.js. You can use public methods in your classes as test cases. There is no need to remember... -
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Metarank
A low code Machine Learning service that personalizes articles
... can find hidden dependencies in the data using our simple JSON format.No Machine Learning experience is required, run our CLI tool with a set of features in a YAML configuration. Run Metarank API service, feed it with real-time events and receive a personalized ranking for your items that will boost conversion, click-through rate or any other business-critical metric you define. -
For direct selling (MLM) companies, from startup to well established enterprises with millions of distributors across the world
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10
elastic4s
Elasticsearch Scala Client - Reactive, Non Blocking, Type Safe, HTTP
Elastic4s is a concise, idiomatic, reactive, type safe Scala client for Elasticsearch. The official Elasticsearch Java client can of course be used in Scala, but due to Java's syntax it is more verbose and it naturally doesn't support classes in the core Scala core library nor Scala idioms such as typeclass support. Elastic4s's DSL allows you to construct your requests programatically, with syntactic and semantic errors manifested at compile time, and uses standard Scala futures to enable... -
11
Binding.scala
Reactive data-binding for Scala
... React components with Binding.scala. Regular HTML does not compile unless developers manually replace class and for attributes to className and htmlFor, and manually convert inline styles from CSS syntax to JSON syntax. -
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Caliban
Functional GraphQL library for Scala
... time using Scala standard types, resolver (RootResolver) is a simple value provided at runtime. All interfaces are pure and types are referentially transparent. Schemas are type safe and derived at compile time. No need to manually define a schema for every type in your API. Let the compiler do the boring work. Out-of-the-box support for major HTTP server libraries, effect types, Json libraries and more. -
13
Finatra
Fast, testable, Scala services built on TwitterServer and Finagle
Finatra builds on TwitterServer and uses Finagle, therefore it is highly recommended that you familiarize yourself with those frameworks before getting started. The version of Finatra documented here is version 2.x. Version 2.x is a complete rewrite over v1.x and as such many things are different. Finatra at its core is agnostic to the type of service or application being created. It can be used to build anything based on TwitterUtil: c.t.app.App. For servers, Finatra builds on top of the... -
14
spray-json
A lightweight, clean and simple JSON implementation in Scala
spray-json is a lightweight, clean and efficient JSON implementation in Scala. -
15
Marathon
Deploy and manage containers (including Docker) on top of Apache Mesos
... application. You can run databases like MySQL and Postgres, and have storage accounted for by Mesos. Supply an HTTP endpoint to receive notifications, for example to integrate with an external load balancer. Query them at /metrics in JSON format, push them to systems like Graphite, StatsD and DataDog, or scrape them using Prometheus. -
16
apache spark data pipeline osDQ
osDQ dedicated to create apache spark based data pipeline using JSON
This is an offshoot project of open source data quality (osDQ) project https://sourceforge.net/projects/dataquality/ This sub project will create apache spark based data pipeline where JSON based metadata (file) will be used to run data processing , data pipeline , data quality and data preparation and data modeling features for big data. This uses java API of apache spark. It can run in local mode also. Get json example at https://github.com/arrahtech/osdq-spark How to run Unzip the zip... -
17
ScenarLang
A DSL that ease (shortens) the set up mockito based unit tests
This domain specific language lets you declare complex java objects with a Json-like notation. In addition to that, it lets you specify in a natural way what the mockito mocks should return when called with a given value.
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