Showing 4 open source projects for "java .jar emulator"

View related business solutions
  • SoftCo: Enterprise Invoice and P2P Automation Software Icon
    SoftCo: Enterprise Invoice and P2P Automation Software

    For companies that process over 20,000 invoices per year

    SoftCo Accounts Payable Automation processes all PO and non-PO supplier invoices electronically from capture and matching through to invoice approval and query management. SoftCoAP delivers unparalleled touchless automation by embedding AI across matching, coding, routing, and exception handling to minimize the number of supplier invoices requiring manual intervention. The result is 89% processing savings, supported by a context-aware AI Assistant that helps users understand exceptions, answer questions, and take the right action faster.
    Learn More
  • Data management solutions for confident marketing Icon
    Data management solutions for confident marketing

    For companies wanting a complete Data Management solution that is native to Salesforce

    Verify, deduplicate, manipulate, and assign records automatically to keep your CRM data accurate, complete, and ready for business.
    Learn More
  • 1

    QueLang

    QueLang is a designing tool to use for Questionnaire Design.

    This is the first implementation of QueLang. QueLang is a language I designed for Questionnaire Design and Implementation. This software can compile your code (written in .ql text files) into a special .qlc format (a kind of database). Then it can read those .qlc files to open them in viewer and export them to PDF format. It can be also used for exam and test designing! Tested on: -Linux Ubuntu 12.04 -Windows 7 64-bit QueLang can run by double clicking the .jar (or .exe)...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 2
    The Deep Email Miner Application is a software solution for the multistaged analysis of an Email Corpus. Social network analysis and text mining techniques are connected to enable an in depth view into the underlying information. The self-executable Version 1.1 jar file will now run on Java 1.5 or higher. A Windows executable file of Version 1.1 is also provided in the Files section. Documentation can be found on the project homepage.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 3
    Global Consciousness Project uses hardware "random" number generators and finds patterns between that and major world events. This Java applet will run on their webpage and translate that data to music-like audio. Or for general audio synthesizing.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 4
    The Java Framework for Computer Emulation (JFraCE) is a framework written completely in Java for emulating (old) computer systems on the software level. Currently only an emulator of a Z80-based CP/M machine is implemented.
    Downloads: 0 This Week
    Last Update:
    See Project
  • Turn traffic into pipeline and prospects into customers Icon
    Turn traffic into pipeline and prospects into customers

    For account executives and sales engineers looking for a solution to manage their insights and sales data

    Docket is an AI-powered sales enablement platform designed to unify go-to-market (GTM) data through its proprietary Sales Knowledge Lake™ and activate it with intelligent AI agents. The platform helps marketing teams increase pipeline generation by 15% by engaging website visitors in human-like conversations and qualifying leads. For sales teams, Docket improves seller efficiency by 33% by providing instant product knowledge, retrieving collateral, and creating personalized documents. Built for GTM teams, Docket integrates with over 100 tools across the revenue tech stack and offers enterprise-grade security with SOC 2 Type II, GDPR, and ISO 27001 compliance. Customers report improved win rates, shorter sales cycles, and dramatically reduced response times. Docket’s scalable, accurate, and fast AI agents deliver reliable answers with confidence scores, empowering teams to close deals faster.
    Learn More
  • Previous
  • You're on page 1
  • Next
MongoDB Logo MongoDB