Showing 2 open source projects for "java apps"

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  • The most user-friendly sales commission software for revenue-focused teams Icon
    The most user-friendly sales commission software for revenue-focused teams

    Everstage is a trusted ICM for public companies and enterprises worldwide-across industries

    Rated as #1 sales compensation management software, Everstage helps businesses streamline commission administration, boost sales performance and improve ROI with actionable insights. Top features: No-code plan designer, detailed commission statements, advanced commission forecasting, quota management, queries & approval workflows, deferred commissions (ASC606), BI-powered reporting, and more.
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  • Transform months of data modeling and coding into days. Icon
    Transform months of data modeling and coding into days.

    Automatically generate, document, and govern your entire data architecture.

    Efficiently model your business and data models, and generate code for your data pipelines, data lakehouse, and analytical applications
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  • 1
    RuoYi AI

    RuoYi AI

    Enterprise AI platform for building, deploying, and managing apps

    RuoYi AI is a full-stack enterprise-oriented AI development platform designed to help developers rapidly build, deploy, and manage intelligent applications using modern large language models and AI ecosystems. It provides a unified framework for integrating multiple AI models from different providers, allowing teams to switch or combine models through a consistent interface without vendor lock-in. RuoYi AI includes built-in support for retrieval-augmented generation, enabling organizations...
    Downloads: 5 This Week
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  • 2
    Spring AI Alibaba Examples

    Spring AI Alibaba Examples

    Spring AI Alibaba examples for building and testing AI apps

    Spring AI Alibaba Examples provides a collection of example projects that demonstrate how to use Spring AI and Spring AI Alibaba across different scenarios, from basic setups to more advanced AI applications. It is designed to help developers understand core concepts, explore practical implementations, and follow best practices when building AI-powered systems using the Spring ecosystem. Each module focuses on a specific use case such as chat, image processing, audio handling, graph...
    Downloads: 4 This Week
    Last Update:
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