Open Source Scala User Interface (UI) Software

Scala User Interface (UI) Software

View 123 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.

  • Gen AI apps are built with MongoDB Atlas Icon
    Gen AI apps are built with MongoDB Atlas

    The database for AI-powered applications.

    MongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
    Start Free
  • Photo and Video Editing APIs and SDKs Icon
    Photo and Video Editing APIs and SDKs

    Trusted by 150 million+ creators and businesses globally

    Unlock Picsart's full editing suite by embedding our Editor SDK directly into your platform. Offer your users the power of a full design suite without leaving your site.
    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: 3 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
Want the latest updates on software, tech news, and AI?
Get latest updates about software, tech news, and AI from SourceForge directly in your inbox once a month.