List of the Top 25 Statistical Analysis Software for Mac in 2025

Researchers globally opt for this software due to its intuitive interface that facilitates rapid analysis and the creation of visually appealing biplots, correspondence maps, and MCA layouts. This 64-bit application is compatible with both MAC and PC platforms. The Brand Projector I functionally displays and computes essential characteristics for brand repositioning on a visual map. Meanwhile, Brand Projector II offers an interactive experience where researchers can adjust attributes and observe how the brand dynamically shifts in relation to the changes made. This combination of features makes the program an invaluable tool for those in the research community.

Visokio has developed Omniscope Evo, a comprehensive and adaptable business intelligence tool designed for data processing, analysis, and reporting across various devices. This innovative platform allows users to begin with any type of data, regardless of its format, facilitating the loading, editing, combining, and transforming of data while enabling visual exploration. By leveraging machine learning algorithms, users can derive valuable insights and automate their data workflows seamlessly. Omniscope stands out as a robust BI solution that is responsive and optimized for mobile use, ensuring a user-friendly experience on all devices. Additionally, users can enhance their data workflows through the integration of Python or R scripts, and enrich their reports with dynamic JavaScript visualizations. As a versatile solution, Omniscope caters to the needs of data managers, analysts, and scientists alike, providing them with powerful tools for data visualization and analysis. Ultimately, this platform serves as an essential resource for anyone involved in managing and interpreting data effectively.

ndCurveMaster is an advanced software solution tailored for fitting curves across multiple variables. It seamlessly applies nonlinear equations to datasets that consist of either observed or measured values. This versatile tool accommodates curve and surface fitting across dimensions ranging from 2D to 5D and beyond. Regardless of the complexity or the number of variables, ndCurveMaster is equipped to process any type of data. For instance, it can effectively determine the ideal equations for a dataset featuring six input variables (x1 through x6) and an output variable Y, exemplified by an equation such as Y = a0 - a1 - exp(x1)0.5 + a2 ln(x2)8... + a6 x65.2, which accurately reflects the measured values. Employing machine learning numerical techniques, ndCurveMaster automatically identifies the most appropriate nonlinear regression function for your dataset, revealing the intricate relationships between inputs and outputs. The software supports a variety of curve fitting methods, encompassing linear, polynomial, and nonlinear approaches. Additionally, it incorporates critical validation and goodness-of-fit assessments to ensure precision. It further enhances its capabilities by providing sophisticated evaluations, including the identification of overfitting and multicollinearity through tools like the Variance Inflation Factor (VIF) and the Pearson correlation matrix, making it an invaluable resource for data analysis. Overall, ndCurveMaster stands out as a robust tool for researchers and analysts seeking to understand complex data relationships.

DataMelt, commonly referred to as "DMelt," is a versatile environment designed for numerical computations, data analysis, data mining, and computational statistics. It facilitates the plotting of functions and datasets in both 2D and 3D, enables statistical testing, and supports various forms of data analysis, numeric computations, and function minimization. Additionally, it is capable of solving linear and differential equations, and provides methods for symbolic, linear, and non-linear regression. The Java API included in DataMelt integrates neural network capabilities alongside various data manipulation techniques utilizing different algorithms. Furthermore, it offers support for symbolic computations through Octave/Matlab programming elements. As a computational environment based on a Java platform, DataMelt is compatible with multiple operating systems and supports various programming languages, distinguishing it from other statistical tools that often restrict users to a single language. This software uniquely combines Java, the most prevalent enterprise language globally, with popular data science scripting languages such as Jython (Python), Groovy, and JRuby, thereby enhancing its versatility and user accessibility. Consequently, DataMelt emerges as an essential tool for researchers and analysts seeking a comprehensive solution for complex data-driven tasks.

Domo empowers all users to leverage data effectively, enhancing their contributions to the organization. Built on a robust and secure data infrastructure, our cloud-based platform transforms data into visible and actionable insights through intuitive dashboards and applications. By facilitating the optimization of essential business processes swiftly and efficiently, Domo inspires innovative thinking that drives remarkable business outcomes. With the ability to harness data across various departments, organizations can foster a culture of data-driven decision-making that leads to sustained growth and success.

MATLAB® provides a specialized desktop environment designed for iterative design and analysis, complemented by a programming language that facilitates the straightforward expression of matrix and array computations. It includes the Live Editor, which allows users to craft scripts that seamlessly integrate code, outputs, and formatted text within an interactive notebook format. The toolboxes offered by MATLAB are carefully crafted, rigorously tested, and extensively documented for user convenience. Moreover, MATLAB applications enable users to visualize the interactions between various algorithms and their datasets. Users can enhance their outcomes through iterative processes and can easily create a MATLAB program to replicate or automate their workflows. Additionally, the platform supports scaling analyses across clusters, GPUs, and cloud environments with little adjustment to existing code. There is no necessity to completely change your programming habits or to learn intricate big data techniques. MATLAB allows for the automatic conversion of algorithms into C/C++, HDL, and CUDA code, permitting execution on embedded processors or FPGA/ASIC systems. In addition, when combined with Simulink, MATLAB bolsters the support for Model-Based Design methodologies, proving to be a flexible tool for both engineers and researchers. This versatility underscores MATLAB as a vital asset for addressing a broad spectrum of computational issues, ensuring that users can effectively tackle their specific challenges with confidence.

Leverage Tableau to gather, generate, and assess business data, extracting significant insights through its extensive business intelligence (BI) and analytical features. This robust platform allows users to compile data from multiple sources, which include spreadsheets, SQL databases, Salesforce, and various cloud applications. With Tableau's real-time visual analytics and dynamic dashboards, users can thoroughly investigate and interpret datasets, leading to critical insights and the discovery of new business prospects. Moreover, Tableau provides a range of customization options tailored to different industry sectors, such as finance, telecommunications, and more, ensuring it addresses the specific needs of each field. Consequently, organizations can utilize Tableau not only to make informed decisions but also to foster sustainable growth and innovation in a competitive landscape. By integrating Tableau into their operations, businesses can further optimize their strategies for long-term success.

SPC for Excel is a straightforward yet robust software package designed to meet all your needs for statistical process control and analysis. This tool empowers users to pinpoint areas of concern, derive insights from their data, detect emerging trends, and address issues—all within the familiar Excel environment. Whether you're a beginner or an expert, SPC for Excel supports your continuous improvement initiatives across various sectors, be they for-profit or non-profit organizations. It offers a comprehensive range of techniques for effective charting and analysis, including Pareto diagrams, histograms, control charts, Gage R&R assessments, process capability evaluations, distribution fitting, data transformation, regression analysis, design of experiments (DOE), hypothesis testing, and much more. With a one-time purchase, the software is yours indefinitely, allowing for two downloads per user and complimentary technical support. You can even explore a demo version to experience its ease of use firsthand. The software includes tools for process capability analysis to ensure customer satisfaction. Control charts and histograms help in the effective management of processes. Gage R&R studies validate your measurement systems, while problem-solving tools such as Pareto charts, scatter plots, and others assist teams in tackling challenges. Additionally, advanced data analysis features like DOE, ANOVA, and various statistical tests are available to cater to your more complex analytical needs. Ultimately, SPC for Excel stands as a versatile solution for those seeking to enhance their data analysis capabilities.

Plerdy is a versatile SaaS platform designed to enhance website conversion rates effectively. The heatmap feature allows users to visualize click activity on their site, capturing all interactions in real-time, which offers valuable insights into user engagement. With the smart pop-up forms, you can effortlessly create and implement pop-ups on your website without requiring technical skills, such as collecting leads when users abandon their shopping carts. Additionally, the SEO alerts tool constantly monitors your site's SEO metrics and sends you timely updates about any modifications. This tool evaluates keywords, titles, and tags, providing comprehensive on-page statistics that are crucial for assessing and optimizing your online presence. By using Plerdy, website owners can significantly enhance user experience and maximize their site's effectiveness.

JMP, a data analysis tool available for both Mac and Windows, integrates robust statistical capabilities with engaging interactive visualizations. Users can effortlessly import and analyze data thanks to its drag-and-drop interface, which features dynamically linked graphics, extensive libraries of advanced analytical tools, a scripting language, and various options for sharing insights, enabling a more profound exploration of data. Founded in 1980, JMP was created to harness the emerging potential of graphical user interfaces for personal computers, and it has consistently evolved by incorporating state-of-the-art statistical techniques in each new version. Remarkably, John Sall, the founder of JMP, remains actively involved in the development of the software as its Chief Architect, ensuring that it stays at the forefront of data analysis innovation.

Minitab Statistical Software, our flagship product, is at the forefront of data analysis, enabling users to visualize, interpret, and leverage their data to uncover insights and tackle their most pressing challenges effectively. With a combination of trusted analytics and modern visualizations, Minitab empowers users to make informed decisions with confidence. The newest iteration of Minitab Statistical Software features cloud access, allowing users to perform analyses from any location, as well as the Graph Builder, an innovative interactive tool that facilitates the creation of multiple graph options simultaneously. Additionally, Minitab provides specialized modules for Predictive Analytics and Healthcare, further enhancing your analytical capabilities. Supporting a diverse user base, Minitab is available in eight different languages: English, Chinese, French, German, Japanese, Korean, Spanish, and Portuguese. For over five decades, Minitab has been instrumental in aiding countless organizations and institutions in identifying trends, resolving issues, and extracting meaningful insights from their data through our extensive suite of premier data analysis and process improvement resources. As we continue to innovate, we remain dedicated to enhancing the user experience and expanding our offerings to meet evolving analytical needs.

At Posit, our mission is to transform data science into a more open, accessible, user-friendly, and collaborative field for all. Our comprehensive suite of tools enables individuals, teams, and organizations to harness advanced analytics for meaningful insights that drive significant change. Since our foundation, we have championed open-source software, including RStudio IDE, Shiny, and tidyverse, as we believe in making data science tools available to everyone. We provide solutions based on R and Python that streamline the analysis process, allowing users to achieve superior results in a shorter timeframe. Our platform promotes secure sharing of data-science applications throughout your organization, emphasizing that the code we create is yours to build upon, share, and utilize for the benefit of others. By simplifying the tasks of uploading, storing, accessing, and distributing your work, we strive to create a seamless experience for you. We are always eager to hear about the remarkable projects being developed globally with our tools, and we value the chance to share these inspiring stories with our community. Ultimately, we aim to cultivate a dynamic ecosystem where data science can thrive and empower everyone involved, fostering innovation and collaboration at every level.

Numerical analysis, often referred to as scientific computing, emphasizes methods for approximating solutions to various mathematical problems. Scilab offers a wide range of graphical functions that enable users to visualize, annotate, and export data, along with a multitude of options for crafting and customizing different plots and charts. Serving as a high-level programming language tailored for scientific applications, Scilab accelerates the prototyping of algorithms while reducing the complications associated with lower-level languages such as C and Fortran, where challenges like memory management and variable declarations can complicate workflows. In Scilab, intricate mathematical calculations can frequently be articulated in a handful of lines of code, while other programming languages may require much more extensive coding efforts. Moreover, Scilab comes equipped with advanced data structures like polynomials, matrices, and graphic handles, and it offers a user-friendly development environment that boosts productivity and simplifies usage for both researchers and engineers. Consequently, Scilab not only streamlines the scientific computing process but also broadens access to these tools for a larger audience, making complex computations more manageable. Furthermore, its extensive library of built-in functions enhances the capacity for users to tackle a variety of mathematical tasks effectively.

XLSTAT serves as a comprehensive add-in for Excel, providing robust statistical analysis capabilities since its inception in 1993. With over 240 features catering to both general and specialized needs, XLSTAT stands out for its user-friendly interface that leverages Excel, making it an efficient tool for statistical and multivariate data analysis. Among its extensive offerings are various regression techniques (including linear, logistic, and nonlinear), a range of multivariate analysis methods (such as Principal Component Analysis, Discriminant Analysis, and K-means clustering), and a variety of correlation and statistical tests. Additionally, it supports advanced analyses tailored to specific fields, including RDA, CCA, and Preference Mapping, as well as tools for Statistical Process Control, simulations, and time series analysis. The software also includes optional modules for 3D Visualization and Latent Class models, enhancing its analytical capabilities. Compatible with all Excel versions from 2003 to 2016, XLSTAT also provides a Mac version, expanding its accessibility to a broader user base. This versatility ensures that researchers and analysts can perform complex statistical tasks efficiently within the familiar environment of Excel.

Sheetgo is a versatile automation platform designed for teams that allows users to build tailored workflows for data collection and management directly from a spreadsheet. By utilizing this tool, you can set up automated processes that streamline various business operations, including inventory control, financial predictions, sales monitoring, and tracking student attendance. Additionally, Sheetgo is compatible with Google Sheets, Excel, and CSV files, making it a convenient choice for diverse data formats. With its user-friendly interface, Sheetgo.com simplifies the task of automating your workflow, enhancing productivity and collaboration among team members. This tool empowers you to focus on strategic initiatives while it efficiently handles repetitive tasks.

Spreadsheet applications enable users to conduct numerous types of statistical analyses effectively. These tools often provide built-in functions that simplify complex calculations, making data interpretation more accessible.

EngineRoom empowers users to improve their processes by offering a wide range of resources tailored for solving problems effectively. The platform combines various tools for graphical representation, statistical analysis, and modeling, all aimed at simplifying project organization and management. Users can delve into their data, manage projects, and create detailed process maps with ease. Thanks to EngineRoom's intuitive drag-and-drop functionality, the steep learning curve often associated with desktop data analysis tools is greatly diminished. Moreover, the platform includes innovative, patented wizards that assist users in hypothesis testing and designing experiments (DOE), ensuring precise analysis and straightforward reporting of results. A significant advantage is that EngineRoom requires no installation on personal desktops, nor does it involve managing complex licensing files or occupying hard drive space, providing users with immediate access to the platform. By simply logging into their accounts through any web browser, users can retrieve their projects from any location, and when they return, their data and results are preserved exactly as they were left. This effortless accessibility not only streamlines the user experience but also significantly boosts productivity and efficiency in managing projects. With EngineRoom, the ability to collaborate and share insights in real-time further enhances the overall project development experience.

Stata is an all-encompassing software solution designed to effectively manage every facet of data science, including data manipulation, statistical analysis, visualization, and automated reporting. Known for its speed and precision, Stata features an extensive graphical interface that simplifies usability while allowing for full programmability. The software combines the convenience of menus, dialogs, and buttons, giving users a flexible approach to data management. Its drag-and-drop functionality and point-and-click capabilities make accessing Stata's vast array of statistical and graphical tools straightforward. Additionally, users can quickly execute commands using Stata's user-friendly command syntax, which enhances efficiency. Furthermore, Stata logs every action and result, ensuring that all analyses maintain reproducibility and integrity, regardless of whether menu options or dialog boxes are used. Complete command-line programming and capabilities, including a robust matrix language, are also part of Stata's offerings. This versatility allows users to utilize all pre-installed commands, facilitating the creation of new commands or the scripting of complex analyses, thereby broadening the scope of what can be achieved within the software.

StatPlus offers an extensive range of statistical tools and methods for graphical analysis, making it highly versatile. Its user-friendly interface ensures accessibility for everyone, regardless of their statistical expertise. This software is applicable across various fields such as sociology, financial analysis, and biostatistics, and it also holds promise for use in healthcare, clinical research, and the insurance sector. Designed as a professional-grade statistical analysis tool, StatPlus allows even those without a strong background in statistics to utilize its features effectively. As long as users are comfortable with basic PC operations and can follow straightforward instructions, they can easily process data using StatPlus. This capability enables users to concentrate on interpreting their results without the need to worry about the intricacies of data processing or potential errors that may occur. Ultimately, StatPlus empowers individuals to engage in data analysis confidently, regardless of their experience level.

Using formulas on data without thorough examination typically results in limited advantages outside of basic situations. In practical data analysis, a nuanced and iterative strategy is essential, and Data Desk significantly improves this process by allowing users to pinpoint potentially misleading outliers through an integrated visual interface, while preserving their selections as they explore different visualizations. This capability enables quick identification of anomalies and patterns at a single glance. Moreover, by facilitating swift conversion of data into various formats, Data Desk cultivates an atmosphere of experimentation and innovation, which contributes to crafting more robust models. Users can interactively choose and organize data across several visualizations in real-time, enhancing their analytical capabilities. With Data Desk's user-friendly graphical interface, creating charts and performing sophisticated analyses becomes straightforward; additionally, with a simple click, users can export the R or Python code that mirrors their work. The platform also guarantees that your data is sanitized to comply with R's requirements, thus mitigating problems associated with stray characters. Notably, any comments added in the Data Desk environment are seamlessly integrated into the generated code, improving the clarity and effectiveness of your analyses. These features not only simplify the analytical workflow but also encourage a more profound comprehension of the data being analyzed, ultimately leading to better decision-making. As a result, data professionals are empowered to derive insights more efficiently and accurately.

CoPlot Version 6.45 is a versatile software application designed to create high-quality 2D and 3D scientific visualizations that encompass data plots, equations, maps, and a variety of technical illustrations. The focus of the software's development is to provide a tool that enables scientists and engineers to fulfill their specific graphical requirements effortlessly. Furthermore, CoPlot includes CoStat for seamless data management and statistical analysis, enhancing its functionality. Users can craft intricate technical illustrations with an extensive selection of drawing tools offered by CoPlot. Its features are well-suited for designing genetic maps, field maps, flow charts, apparatus schematics, circuit diagrams, chemical structures, and much more. The program allows for the creation of drawings and graphs, incorporating HTML-like text formatting tags and over 1,000 special characters to enrich the visual quality of the scientific outputs. This enables users to produce exceptional scientific graphs and maps, with access to seven core graph types, over 40 plotting methods for data representation, 18 formats for equation display, customizable attributes, asymmetric and horizontal error bars, and 12 unique axis types, thereby delivering a comprehensive toolkit for all graphical needs. The extensive array of features and options provided by CoPlot positions it as an indispensable resource for professionals aiming to visually present their data with clarity and impact. Moreover, its user-friendly interface ensures that both novice and experienced users can efficiently navigate and utilize its capabilities.

Statistical analysis can often be conducted using standard procedures. Techniques such as crosstabulations, descriptive statistics, and correlation can be executed without requiring any knowledge of programming languages or intricate interface commands. Users can quickly view a summary of their findings through the Explore tab. Additionally, the Output Log keeps a record of frequently utilized statistical tables for easy reference. This accessibility allows even those with minimal technical skills to engage effectively with data analysis.

Design-Expert® software is an effective resource for achieving significant enhancements in your product or process. This innovative tool utilizes Design of Experiments (DOE) methodology, which assists you in systematically planning, carrying out, and interpreting your experimental results. With its comprehensive suite of statistical analysis tools, it is widely employed by quality experts and industrial engineers to identify crucial factors, optimize process parameters, and develop superior product formulations. By leveraging this software, you can streamline your experimentation process and drive meaningful improvements in your operations.

Merge Data Science, Business Intelligence, and Data Management Abilities into a Unified, Self-Service Platform. Analance serves as a comprehensive platform that features a wide array of scalable and powerful tools, integrating Data Science, Advanced Analytics, Business Intelligence, and Data Management into one cohesive solution. This platform delivers essential analytical capabilities, ensuring that insights drawn from data are readily available to all users, maintaining consistent performance over time, and enabling businesses to achieve their goals seamlessly. With a strong emphasis on transforming quality data into precise forecasts, Analance equips both citizen data scientists and professional data scientists with ready-made algorithms alongside a customizable programming environment. Furthermore, its intuitive design makes it easier for organizations to harness the full potential of their data resources. Company Overview Ducen IT specializes in delivering advanced analytics, business intelligence, and data management solutions to Fortune 1000 companies through its innovative data science platform, Analance.

Numerous statistical software tools are developed by statisticians primarily for their peers, resulting in applications that, while feature-rich, can overwhelm scientists due to their intricate manuals, specialized jargon, and high costs. In contrast, GraphPad InStat is uniquely designed by a scientist for fellow researchers, making it an exception in the field. This intuitive software enables users, even those with minimal statistical background, to analyze their data quickly and effortlessly. InStat offers a seamless statistical analysis experience, guiding users through the entire evaluation process step by step. Within a brief period, you will gain competence in using InStat without needing to pinpoint the exact statistical test suitable for your data. The program aids in test selection by asking tailored questions about your dataset, which ensures a customized approach to analysis. Should any questions arise, the extensive help screens provide clear explanations of statistical concepts in layman's terms. InStat is designed to accommodate users at all levels of statistical expertise, delivering results in simple language while reducing the use of complex jargon. Additionally, the help screens present a thorough explanation of how each statistical test is applied, rendering it an essential tool for researchers. The straightforward nature of InStat not only demystifies statistical analysis but also enhances its accessibility and effectiveness for all users, regardless of their prior experience. Thus, InStat serves as a bridge between complex statistical methods and the diverse community of researchers.