Showing 4 open source projects for "java code to flowchart"

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    Build Agents and Models on One Platform

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    Veeam Data Platform v13.1

    Move workloads across hypervisors and clouds with no vendor lock-in. Try VDP free today.

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  • 1
    Gatling Studio

    Gatling Studio

    Desktop app that helps you craft Gatling load-testing simulations

    ...The output is a ready-to-run Gatling project (Java/Maven) that can be executed locally or uploaded to Gatling Enterprise to run at scale. Gatling Studio targets performance engineers and QA teams who want a low-code path from “record what a user does in the browser” to “run a realistic load test.”
    Downloads: 1 This Week
    Last Update:
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  • 2
    SoaBox
    SoaBox lets you create a virtual version of your SOA environment. Clients (WS-Webservices,RESTful, JMS, HTTP, FTP, Filesystem, POJOs/Custom Code), servers (HTTP/Endpoints) and data (XML, SOAP, CSV, etc). It's written in Java and runs with JBoss 5.x and 6.x
    Downloads: 0 This Week
    Last Update:
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  • 3
    SoapUI
    The SoapUI download has moved to https://www.soapui.org/downloads/soapui/source-forge.html With more than 9 million downloads SoapUI is the de-facto standard for REST and SOAP API functional, security and performance testing.
    Downloads: 4 This Week
    Last Update:
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  • 4
    The Grinder

    The Grinder

    Distributed load testing framework - Java, Jython, or Clojure scripts.

    The Grinder is a load testing framework that makes it easy to run a distributed test using many load injector machines. Test scripts are written in Jython, and can call out to arbitrary Java code, providing support for testing a large range of network protocols. The Grinder comes with a mature plug-in for testing HTTP services, HTTP scripts can be recorded easily from a browser session.
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    Downloads: 703 This Week
    Last Update:
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  • 99.99% Uptime for MySQL and PostgreSQL Databases Icon
    99.99% Uptime for MySQL and PostgreSQL Databases

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    Cloud SQL Enterprise Plus delivers near-zero downtime with 35 days of point-in-time recovery. Supports MySQL, PostgreSQL, and SQL Server.
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