Showing 2 open source projects for "parallel compression"

View related business solutions
  • Free Website Monitoring Service | UptimeRobot Icon
    Free Website Monitoring Service | UptimeRobot

    The free online uptime monitoring service with an App is available for iOS and Android.

    With the Free Plan, you can monitor up to 50 URLs, check for a website's content (using the keyword monitor), ping your server or monitor your ports in 5-minute intervals. You can create a status page to showcase your uptime. SMS or Call alerts can be bought anytime.
    Learn More
  • Quality and compliance software for growing life science companies Icon
    Quality and compliance software for growing life science companies

    Unite quality management, product lifecycle, and compliance intelligence to stay continuously audit-ready and accelerate market entry

    Automate gap analysis across FDA, ISO 13485, MDR, and 28+ regulatory standards. Cross-map evidence once, reuse across submissions. Get real-time risk alerts and board-ready dashboards, so you can expand into new markets with confidence
    Learn More
  • 1
    OpenAS2

    OpenAS2

    AS2 1.1 server implementation in Java

    OpenAS2 is a java-based implementation of the EDIINT AS2 standard. It is intended to be used as a server. It is extremely configurable and supports a wide variety of signing and encryption algorithms. Supports very high traffic volume allowing parallel processing of files per partner. SUPPORT: Please use the Github issues and Discussions channels here: https://github.com/OpenAS2/OpenAs2App/ Requirements: - Java 11 or newer (tested with the LTS versions of Java up to 21) ...
    Leader badge
    Downloads: 57 This Week
    Last Update:
    See Project
  • 2
    ADAMS

    ADAMS

    ADAMS is a workflow engine for building complex knowledge workflows.

    ADAMS is a flexible workflow engine aimed at quickly building and maintaining data-driven, reactive workflows, easily integrated into business processes. Instead of placing operators on a canvas and manually connecting them, a tree structure and flow control operators determine how data is processed (sequentially/parallel). This allows rapid development and easy maintenance of large workflows, with hundreds or thousands of operators. Operators include machine learning (WEKA, MOA, MEKA)...
    Leader badge
    Downloads: 3 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next
MongoDB Logo MongoDB