2 projects for "python::module" with 2 filters applied:

  • Connect with customers in one app Icon
    Connect with customers in one app

    Businesses of all sizes seeking an AI-enhanced, all-in-one communication platform to unify voice, video, and messaging for improved team collaboration

    Dialpad Connect is an AI-powered unified communications platform that combines voice, video, and messaging to enhance team collaboration and customer interactions. It features real-time call transcription, automated call summaries, and AI-generated action items to help users stay focused during conversations. The platform integrates seamlessly with popular business apps like Salesforce, Zendesk, Microsoft Teams, and Google Workspace to streamline workflows. Designed for businesses of all sizes, Dialpad Connect delivers enterprise-grade reliability with 100% uptime SLA and robust disaster recovery. Security and privacy are core priorities, meeting standards like GDPR, HIPAA, and SOC 2 compliance. Dialpad Connect helps companies elevate customer experiences while boosting team productivity.
    Learn More
  • GWI: On-demand Consumer Research Icon
    GWI: On-demand Consumer Research

    For marketing agencies and media organizations requiring a solution to get consumer insights

    Need easy access to consumer insights? Our intuitive platform is the answer. Get the ultra-reliable research that brands and agencies need to stay ahead of changing consumer behavior.
    Learn More
  • 1

    Ganglia

    Scalable, distributed monitoring system for high-performance computing

    Ganglia is a scalable distributed monitoring system for high-performance computing systems such as clusters and Grids. It is based on a hierarchical design targeted at federations of clusters. Supports clusters up to 2000 nodes in size.
    Downloads: 35 This Week
    Last Update:
    See Project
  • 2

    RainforestCluster

    Dynamically manage Amazon EC2 clusters

    RainforestCluster is an Amazon EC2 python program that manages and load-balances dynamic clusters to allow for maximum workflow flexibility and speed at minimal cost. It enables one to quickly and cheaply create dynamic compute clusters in the cloud, which can then run computational pipelines generically. It is also able to optimize the use of spot instances - idle computers in Amazon's cloud that are available at drastically reduced cost (5x-10x cheaper) - but can be terminated at any moment if capacity drops or the bid price rises. ...
    Downloads: 0 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next
MongoDB Logo MongoDB