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R System Software

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

  • Safetica Data Loss Prevention Software for Businesses Icon
    Safetica Data Loss Prevention Software for Businesses

    For companies that want to protect their sensitive data against leakages, insider threats and want to be compliant with regulations.

    Safetica is a cost-effective, easy-to-use Data Loss Prevention (DLP) solution. It performs security audits, prevents sensitive data from leaving your company, and sheds light on what is going on in your organization.
    Learn More
  • Accounting practice management software Icon
    Accounting practice management software

    Accountants, accounting firms, tax attorneys, tax professionals

    Canopy is a cloud-based practice management software for accounting and tax firms, offering tools for client engagement, document management, workflow automation, and time & billing. Its Client Engagement platform centralizes interactions with a secure portal, customizable branding, and email integration, while the Document Management system enables organized, paperless file storage. The Workflow module enhances visibility into tasks and projects through templates, task assignments, and automation, reducing human error. Additionally, the Time & Billing feature tracks billable hours, generates invoices, and processes payments, ensuring accurate financial management. With its comprehensive features, Canopy streamlines operations, reduces stress, and enhances client experiences.
    Learn More
  • 1
    IRkernel

    IRkernel

    R kernel for Jupyter

    For detailed requirements and install instructions see irkernel.github.io. Per default IRkernel::installspec() will install a kernel with the name “ir” and a display name of “R”. Multiple calls will overwrite the kernel with a kernel spec pointing to the last R interpreter you called that commands from. You can install kernels for multiple versions of R by supplying a name and display name argument to the install spec() call (You still need to install these packages in all interpreters you want to run as a Jupyter kernel!):
    Downloads: 2 This Week
    Last Update:
    See Project
  • 2
    AnomalyDetection

    AnomalyDetection

    Anomaly Detection with R

    AnomalyDetection is an R package developed by Twitter for detecting anomalies in seasonal univariate time series. It implements the Seasonal Hybrid Extreme Studentized Deviate (S‑H‑ESD) test, which reliably identifies both global and local outliers in data with trends and seasonality—commonly applied to system metrics, engagement data, and business KPIs.
    Downloads: 0 This Week
    Last Update:
    See Project
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