Compare the Top Statistical Analysis Software that integrates with GitHub as of May 2026

This a list of Statistical Analysis software that integrates with GitHub. Use the filters on the left to add additional filters for products that have integrations with GitHub. View the products that work with GitHub in the table below.

What is Statistical Analysis Software for GitHub?

Statistical analysis software enables users to collect, organize, and analyze data using mathematical and statistical techniques to uncover trends, patterns, and insights. It provides tools for hypothesis testing, regression analysis, forecasting, and data visualization to support decision-making across research and business contexts. The software often includes built-in statistical functions, customizable workflows, and scripting capabilities for advanced users. Many platforms integrate with databases, spreadsheets, and data science environments to streamline data preparation and analysis. By turning raw data into meaningful results, statistical analysis software helps researchers, analysts, and organizations make evidence-based decisions. Compare and read user reviews of the best Statistical Analysis software for GitHub currently available using the table below. This list is updated regularly.

  • 1
    Domo

    Domo

    Domo

    Domo puts data to work for everyone so they can multiply their impact on the business. Our cloud-native data experience platform goes beyond traditional business intelligence and analytics, making data visible and actionable with user-friendly dashboards and apps. Underpinned by a secure data foundation that connects with existing cloud and legacy systems, Domo helps companies optimize critical business processes at scale and in record time to spark the bold curiosity that powers exponential business results.
  • 2
    SAS Viya
    SAS Viya is a cloud-native data and AI platform that unifies data management, analytics, AI modeling, and governance within a single environment. The platform helps organizations build, validate, deploy, and govern AI models with transparency, fairness, and auditability built into the entire lifecycle. SAS Viya provides seamless access to data across multiple sources and platforms while maintaining governance, lineage tracking, and compliance controls. Businesses can use the platform to accelerate AI model training, improve workflow productivity, and operationalize data-driven decisions at scale. SAS Viya also supports AI agents through the SAS Viya MCP Server, enabling secure integration of AI-powered tools and decision-making processes. The platform is designed to support cloud, hybrid, and on-premises deployments for greater flexibility across enterprise environments.
  • 3
    Bytesafe

    Bytesafe

    Bitfront

    Increase your open source security posture with automated best practices, with a unified workflow for security and developer teams. The cloud-native security platform reduces risk and protects revenue, without slowing down developers. The dependency firewall quarantines malicious open source before reaching developers and infrastructure, protecting data, assets, and company reputation. Our policy engine evaluates threat signals such as known vulnerabilities, license information, and customer-defined rules. Having insight into what open-source components are used in applications is crucial to avoid exploitable vulnerabilities. Software Composition Analysis (SCA) and dashboard reporting give stakeholders a holistic overview with immediate insights into the current situation. Discover when new open-source licenses are introduced in the codebase. Automatically track license compliance issues and restrict problematic or unlicensed packages.
    Starting Price: €1100 per month
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