Showing 4 open source projects for "web live chat in php"

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    Employee monitoring software with screenshots

    Clear visibility and insights into how employees work. Even remotely.

    Stay productive working at any distance from anywhere with Monitask.
  • SKUDONET Open Source Load Balancer Icon
    SKUDONET Open Source Load Balancer

    Take advantage of Open Source Load Balancer to elevate your business security and IT infrastructure with a custom ADC Solution.

    SKUDONET ADC, operates at the application layer, efficiently distributing network load and application load across multiple servers. This not only enhances the performance of your application but also ensures that your web servers can handle more traffic seamlessly.
  • 1
    A. R. Live Support is online chat software, developed in Asp.net(2.0) and XML. Easy to use and it facilitates 1-o-1 live communication between customers and executives. Flexible live chat software that provides the customer support with a click.
    Downloads: 0 This Week
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  • 2
    Jiania is power CMS,it can easy to use dynamic web content management system written in PHP5. jiania cms use adodb database libratry and Smarty template most important thant use power jpgraph and let's user can easy report anything you need.
    Downloads: 0 This Week
    Last Update:
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  • 3
    A web-based service that provides web to messenger messaging support and dynamically generated status images for Windows Live Messenger users.
    Downloads: 0 This Week
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  • 4
    A video chat application based on Red5,it can use Micromedia Flash Media Server as server too. Now it supports audio,video conference,file sharing.
    Downloads: 0 This Week
    Last Update:
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  • Cloud data warehouse to power your data-driven innovation Icon
    Cloud data warehouse to power your data-driven innovation

    BigQuery is a serverless and cost-effective enterprise data warehouse that works across clouds and scales with your data.

    BigQuery Studio provides a single, unified interface for all data practitioners of various coding skills to simplify analytics workflows from data ingestion and preparation to data exploration and visualization to ML model creation and use. It also allows you to use simple SQL to access Vertex AI foundational models directly inside BigQuery for text processing tasks, such as sentiment analysis, entity extraction, and many more without having to deal with specialized models.
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