[go: up one dir, main page]

Open Source Scala User Interface (UI) Software

Scala User Interface (UI) Software

View 124 business solutions

Browse free open source Scala User Interface (UI) Software and projects below. Use the toggles on the left to filter open source Scala User Interface (UI) Software by OS, license, language, programming language, and project status.

  • MongoDB Atlas runs apps anywhere Icon
    MongoDB Atlas runs apps anywhere

    Deploy in 115+ regions with the modern database for every enterprise.

    MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
    Start Free
  • viewneo - Smart software for digital advertising boards Icon
    viewneo - Smart software for digital advertising boards

    Smart digital signage for 1 to 1000+ screens.

    viewneo is a user-friendly, cloud-based solution that allows companies of all sizes to set up digital signage
    Learn More
  • 1
    Metawidget
    Metawidget is a smart User Interface widget that populates itself, at runtime, with UI components to match the properties of your business objects. Supports Swing, Java Server Faces (JSF), GWT, Spring, Struts, Android, Hibernate, Groovy, JPA and more
    Downloads: 0 This Week
    Last Update:
    See Project
  • 2
    Scalargs is a Scala library for parsing command line options as easily as possible.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 3
    Spark JobServer

    Spark JobServer

    REST job server for Apache Spark

    Spark Job Server offers a RESTful interface for submitting, managing, and running jobs or contexts on Apache Spark. Rather than requiring every application to embed Spark or manage Spark contexts manually, this server abstracts a long-lived service where clients can upload JARs, start and stop contexts, submit jobs synchronously or asynchronously, and manage named objects (RDDs / DataFrames) across job executions. It supports multiple modes (transient jobs, persistent contexts for reuse, streaming, SQL/Hive, etc.), and can be integrated with authentication/authorization systems (e.g. via Apache Shiro). The architecture isolates Spark contexts (optionally in separate JVMs), isolates job dependencies, and persists job / jar metadata via pluggable DAOs. It supports deployment across cluster managers (YARN, Mesos, etc.) and aims to simplify Spark-as-a-service scenarios.
    Downloads: 0 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next