4 projects for "spp client and server in java" with 2 filters applied:

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

    Build gen AI apps with an all-in-one modern database: MongoDB Atlas

    MongoDB Atlas provides built-in vector search and a flexible document model so developers can build, scale, and run gen AI apps without stitching together multiple databases. From LLM integration to semantic search, Atlas simplifies your AI architecture—and it’s free to get started.
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  • Keep company data safe with Chrome Enterprise Icon
    Keep company data safe with Chrome Enterprise

    Protect your business with AI policies and data loss prevention in the browser

    Make AI work your way with Chrome Enterprise. Block unapproved sites and set custom data controls that align with your company's policies.
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  • 1
    The project consist in an open source implementation of the W3C Recommendation of the XML Key Management Specification 2.0 XKMS 2.0. It is compound of a XKMS Server and a Client API to access to the Server via Web Service.
    Downloads: 0 This Week
    Last Update:
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  • 2
    XUP (Extensible User Interface Protocol) is a SOAP-based protocol for delivering events and incremental UI updates. This project builds a web application development framework on top of XUP, consisting of a client, a server toolkit, and a template viewer.
    Downloads: 0 This Week
    Last Update:
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  • 3
    Project ValidateData is server side data validation layer which work as web service. Written on Java. It works on three stages.1.User application send data.2.Make validations on user data using xml file with rules.3.Send results to client
    Downloads: 0 This Week
    Last Update:
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  • 4
    Be4gle is a web services layer for MySQL that exposes the database as a SOAP server. HTML forms and a generic JavaScript soap client are generated from XML templates enabling client side data binding and event-driven web applications (AJAX).
    Downloads: 0 This Week
    Last Update:
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  • 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
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