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Browse free open source R Package Managers and projects below. Use the toggles on the left to filter open source R Package Managers by OS, license, language, programming language, and project status.

  • Monitor your whole IT Infrastructure Icon
    Monitor your whole IT Infrastructure

    Know what's up and what's new: Monitor all your systems, devices, traffic and applications.

    Caters to tech staff, system Administrators, and companies of any size, from small and medium sized businesses to enterprises that need their IT network to be reliable and easy to monitor in real-time. Equipped with an easy-to-use, intuitive interface with a cutting-edge monitoring engine. PRTG optimizes connections and workloads as well as reducing operational costs by avoiding outages while saving time and controlling service level agreements (SLAs).
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  • The CRM you’ll want to use every day Icon
    The CRM you’ll want to use every day

    With CRM, Sales, and Marketing Automation in one, Act! gives you everything you need for happier clients, more revenue, and less stress.

    Act! Premium is perfect for small and midsize businesses looking to market better, sell more, and create customers for life. With unparalleled flexibility and freedom of choice, Act! Premium accommodates the unique ways you do business. Whether it’s customizations to fit your specific business or industry processes or your preferences for deployment and access, the possibilities with Act! Premium are limitless.
    Learn More
  • 1
    data.table

    data.table

    Extends base R’s data for high-performance data manipulation

    data.table is an R package that extends base R’s data.frame for high-performance data manipulation. It offers concise syntax, blazing speed, and memory-efficient operations. It supports fast file reading/writing, joins, grouping, reshaping, and updates by reference. It is heavily used in large data workflows, big data in R, production pipelines, etc. Extremely efficient grouping/aggregation/summarization; can handle very large datasets (hundreds of millions to billions of rows) in memory (if available). Relies only on base R; maintained API, active community; good memory efficiency. Non-equi joins, overlapping range joins, ordered joins, joining with aggregations, etc.
    Downloads: 0 This Week
    Last Update:
    See Project
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