Showing 4 open source projects for "python-libpcap"

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  • Our Free Plans just got better! | Auth0 Icon
    Our Free Plans just got better! | Auth0

    With up to 25k MAUs and unlimited Okta connections, our Free Plan lets you focus on what you do best—building great apps.

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  • Run applications fast and securely in a fully managed environment Icon
    Run applications fast and securely in a fully managed environment

    Cloud Run is a fully-managed compute platform that lets you run your code in a container directly on top of scalable infrastructure.

    Run frontend and backend services, batch jobs, deploy websites and applications, and queue processing workloads without the need to manage infrastructure.
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  • 1
    Synapse Machine Learning

    Synapse Machine Learning

    Simple and distributed Machine Learning

    SynapseML (previously MMLSpark) is an open source library to simplify the creation of scalable machine learning pipelines. SynapseML builds on Apache Spark and SparkML to enable new kinds of machine learning, analytics, and model deployment workflows. SynapseML adds many deep learning and data science tools to the Spark ecosystem, including seamless integration of Spark Machine Learning pipelines with the Open Neural Network Exchange (ONNX), LightGBM, The Cognitive Services, Vowpal Wabbit,...
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  • 2
    rocket-bi

    rocket-bi

    An open-source web-based self-service BI for analytical databases

    Rocket.BI is a free, open-source, web-based business intelligence solution specifically designed for analytical databases. It enables data analysts and business users alike to easily integrate different data sources, perform advanced data analysis, ad hoc, and more. With an easy-to-use editor, you can create personalized reports, build interactive business dashboards and generate actionable business insights. Rocket.BI also allows collaboration as working together with other people in the...
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  • 3
    Cosmos DB Spark

    Cosmos DB Spark

    Apache Spark Connector for Azure Cosmos DB

    Azure Cosmos DB Spark is the official connector for Azure CosmosDB and Apache Spark. The connector allows you to easily read to and write from Azure Cosmos DB via Apache Spark DataFrames in Python and Scala. It also allows you to easily create a lambda architecture for batch-processing, stream-processing, and a serving layer while being globally replicated and minimizing the latency involved in working with big data.
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  • 4

    Waterloo

    Java-based scientific graphics

    Java-based scientific graphics with support for Java, Groovy, MATLAB, Python, the R statistical environment, Scala and SciLab.
    Downloads: 0 This Week
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  • Manage queues and reduce operational costs Icon
    Manage queues and reduce operational costs

    Improve the waiting experience, gather service intelligence, and make data-driven decisions.

    Long queues cost businesses across the world trillions of dollars in lost sales. Customers who experience poor queuing are less likely to stay and recommend your business. Compare the performance of different locations and departments. Monitor the number of visitors waiting, average wait times, and other metrics. Give your staff the tools they need to supercharge your customer service. Recognize your team’s achievements and identify opportunities for growth. Easily measure and share performance results. Use service reports to keep track of KPIs and the effectiveness of service strategy. Eliminate in-person lines by allowing customers to join a virtual waitlist using their phones. Monitor your line in real-time. Let customers safely wait in their car, at home, or outside. Notify them when you are ready to serve them. Give customers regular updates and wait times. Make them feel like VIPs by talking to them directly and asking for their feedback.
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