Compare the Top Data Visualization Software for Mac as of February 2026

What is Data Visualization Software for Mac?

Data visualization software helps organizations transform raw data into visual formats such as charts, dashboards, and interactive reports for easier interpretation. It enables users to identify trends, patterns, and insights quickly, supporting better decision-making across teams. These tools often integrate with databases, spreadsheets, and BI platforms to pull real-time or historical data for analysis. With customizable dashboards and intuitive drag-and-drop interfaces, both technical and non-technical users can explore data effectively. Businesses use data visualization software to communicate insights clearly, track KPIs, and make data-driven strategies actionable. Compare and read user reviews of the best Data Visualization software for Mac currently available using the table below. This list is updated regularly.

  • 1
    MATLAB

    MATLAB

    The MathWorks

    MATLAB® combines a desktop environment tuned for iterative analysis and design processes with a programming language that expresses matrix and array mathematics directly. It includes the Live Editor for creating scripts that combine code, output, and formatted text in an executable notebook. MATLAB toolboxes are professionally developed, rigorously tested, and fully documented. MATLAB apps let you see how different algorithms work with your data. Iterate until you’ve got the results you want, then automatically generate a MATLAB program to reproduce or automate your work. Scale your analyses to run on clusters, GPUs, and clouds with only minor code changes. There’s no need to rewrite your code or learn big data programming and out-of-memory techniques. Automatically convert MATLAB algorithms to C/C++, HDL, and CUDA code to run on your embedded processor or FPGA/ASIC. MATLAB works with Simulink to support Model-Based Design.
  • 2
    ParaView

    ParaView

    Kitware

    ParaView is an open source, multi-platform data analysis and visualization application that enables users to build visualizations for analyzing data using qualitative and quantitative techniques. It supports interactive 3D exploration and programmatic data processing through batch processing capabilities. ParaView is designed to handle extremely large datasets using distributed memory computing resources, making it suitable for supercomputers analyzing terascale datasets as well as laptops for smaller data. The application features a client-server architecture to facilitate remote visualization of datasets and generates level-of-detail models to maintain interactive frame rates for large datasets. ParaView's extensible architecture is based on open standards, allowing for customization and integration with existing tools and workflows. It includes readers for various well-known file formats and offers more than 200 filters and tools for data processing and visualization.
    Starting Price: Free
  • 3
    Qlucore Omics Explorer
    Qlucore Omics Explorer is so easy to use that you no longer have to depend on an expert in bioinformatics to explore and analyze your Omics and NGS data sets. Qlucore Omics Explorer is a D.I.Y next-generation bioinformatics software for research in life science, plant- and biotech industries, as well as academia. The powerful and flexible visualization-based data analysis tool with inbuilt powerful statistics delivers immediate results and provides instant exploration and visualization of big data. The software is developed to allow the workflow which best suits you and your experiments and maximizes the outcome of your research. By combining instant visualization with powerful statistics and flexible selection methods, you will be able to see your results immediately. As a user, you decide your own workflow and starting point. You are in control and can tailor the exploration to meet your specific needs.
  • 4
    Canva Enterprise
    Canva Enterprise is a premium design solution tailored for large organizations seeking to streamline their branding and content creation processes. It offers a collaborative platform where teams can create, edit, and share professional-grade visual content, including presentations, social media posts, and marketing materials, all while maintaining brand consistency. With features like advanced team management, approval workflows, and customizable brand kits, Canva Enterprise empowers teams to work efficiently and creatively without requiring extensive design expertise. It also provides robust integrations with tools like Slack, Google Drive, and Dropbox, along with enterprise-grade security to ensure data protection. This solution is ideal for organizations aiming to scale their design efforts while fostering collaboration and upholding their visual identity.
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