Showing 7 open source projects for "network data speed"

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  • 1
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    collapse

    Advanced and Fast Data Transformation in R

    collapse is a high-performance R package designed for fast and efficient data transformation, aggregation, reshaping, and statistical computation. Built to offer a more performant alternative to dplyr and data.table, it is particularly well-suited for large datasets and econometric applications. It operates on base R data structures like data frames and vectors and uses highly optimized C++ code under the hood to deliver significant speed improvements. collapse also includes tools for grouped operations, weighted statistics, and time series manipulation, making it a compact yet powerful utility for data scientists and researchers working in R.
    Downloads: 0 This Week
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  • 2
    Acl

    Acl

    A powerful server and network library, including coroutine

    The Acl (Advanced C/C++ Library) project a is powerful multi-platform network communication library and service framework, supporting LINUX, WIN32, Solaris, FreeBSD, MacOS, AndroidOS, iOS. Many applications written by Acl run on these devices with Linux, Windows, iPhone and Android and serve billions of users. There are some important modules in Acl project, including network communcation, server framework, application protocols, multiple coders, etc. The common protocols such as...
    Downloads: 2 This Week
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  • 3
    fluentbit

    fluentbit

    Fast and Lightweight Logs and Metrics processor for Linux, BSD, OSX

    ...It is the preferred choice for cloud and containerized environments. A robust, lightweight, and portable architecture for high throughput with low CPU and memory usage from any data source to any destination. Proven across distributed cloud and container environments. Highly available with I/O handlers to store data for disaster recovery. Granular management of data parsing and routing. Filtering and enrichment to optimize security and minimize cost. The lightweight, asynchronous design optimizes resource usage: CPU, memory, disk I/O, network. ...
    Downloads: 3 This Week
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  • 4
    Riemann

    Riemann

    A network event stream processing system, in Clojure

    Riemann aggregates events from your servers and applications with a powerful stream processing language. Send an email for every exception in your app. Track the latency distribution of your web app. See the top processes on any host, by memory and CPU. Combine statistics from every Riak node in your cluster and forward to Graphite. Track user activity from second to second. Riemann streams are just functions which accept an event. Events are just structs with some common fields like :host...
    Downloads: 0 This Week
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  • Skillfully - The future of skills based hiring Icon
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  • 5
    Amadeus

    Amadeus

    Harmonious distributed data analysis in Rust

    ...It emphasizes developer productivity through a fluent, expressive API and makes it easier to build composable and reliable data transformation pipelines without sacrificing speed or safety.
    Downloads: 0 This Week
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  • 6
    TeleScope

    TeleScope

    XML Data Stream Broker/Replicator

    TeleScope is the efficient intensive-load XML data stream broker, replicator and simple event processing platform (SEP) written in C for the Fedora 17-18, Slackware 13-14, Red Hat Enterprise Linux 6 (RHEL-6) Linux distributions. The platform is intended to be operated upon the single number/word values and is not meant to be deployed for full-text XML stream analysis. TeleScope has internal query language with a set of standard logical operators that allows to construct relatively complex...
    Downloads: 0 This Week
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  • 7
    MXQuery is a low-footprint implementation of XQuery 1.0, XQuery Update 1.0, XQuery Fulltext 1.0 and XQuery Scripting 1.0 as well as a subset of XQuery 1.1 (windowing, try/catch). It provides extensions to do data stream processing/CEP and SOAP/REST
    Downloads: 0 This Week
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