Best Statistical Analysis Software for Python

ndCurveMaster is a specialized software designed for multivariable curve fitting. It automatically applies nonlinear regression equations to your datasets, which can consist of observed or measured values. The software supports curve and surface fitting in 2D, 3D, 4D, 5D, ..., nD dimensions. This means that no matter how complex your data is or how many variables it has, ndCurveMaster can handle it with ease. For example, ndCurveMaster can efficiently derive an optimal equation for a dataset with six inputs (x1 to x6) and an output Y, such as: Y = a0 + a1 · exp(x1)^-0.5 + a2 · ln(x2)^8 + ... + a6 · x6^5.2, to accurately match measured values. Utilizing machine learning numerical methods, ndCurveMaster automatically fits the most suitable nonlinear regression functions to your dataset and discovers the relationships between the inputs and output. This robust tool offers linear, polynomial, and nonlinear curve fitting, utilizes crucial validation and goodness-of-fit tests.

JMP, data analysis software for Mac and Windows, combines the strength of interactive visualization with powerful statistics. Importing and processing data is easy. The drag-and-drop interface, dynamically linked graphs, libraries of advanced analytic functionality, scripting language and ways of sharing findings with others, allows users to dig deeply into their data, with greater ease and speed. Originally developed in the 1980’s to capture the new value in GUI for personal computers, JMP remains dedicated to adding cutting-edge statistical methods and special analysis techniques from a variety of industries to the software’s functionality with each release. The organization's founder, John Sall, still serves as Chief Architect.

Posit builds tools that help data scientists work more efficiently, collaborate seamlessly, and share insights securely across their organizations. Its Positron code editor provides the speed of an interactive console combined with the power to build, debug, and deploy data-science workflows in Python and R. Posit’s platform enables teams to scale open-source data science, offering enterprise-ready capabilities for publishing, sharing, and operationalizing applications. Companies rely on Posit’s secure infrastructure to host Shiny apps, dashboards, APIs, and analytical reports with confidence. Whether using open-source packages or cloud-based solutions, Posit supports reproducible, high-quality work at every stage of the data lifecycle. Trusted by millions of users—and more than half of the Fortune 100—Posit empowers professionals across industries to innovate with data.

MatDeck is a universal, technical software for Mathematics, Science, Engineering, Chemistry, Coding, Databases and many other uses. Our software offers a complete Python IDE; thousands of mathematical functions; a drag and drop GUI Designer and various visualization tools, all embedded within a cutting-edge, live document for an inexpensive and professional computing environment.

GAMS (General Algebraic Modeling System) is a best-in-class mathematical modeling software known for its high performance, scalability, and ease of use. The official release of GAMSPy now allows users to integrate GAMS with Python, enabling flexible and powerful model creation directly within Python. GAMS simplifies the expression of optimization problems with its efficient algebraic modeling language, offering optimal solutions using top-tier mathematical solvers. GAMS MIRO provides graphical interfaces for GAMS models, facilitating local and cloud deployment with advanced visualization features. For scalable model solving, GAMS Engine offers a reliable SaaS solution, allowing models to be solved on-premises or in the cloud. Additionally, GAMS provides workshops, training, and consulting services to help users develop, improve, and deploy decision-support solutions.

Visplore is a plug-and-play software solution for rapid advanced analytics of process and asset data. Easy-to-use visualization and automated analytics provide process and maintenance engineers with answers for data-driven decision-making. Increase the speed and value of data analytics by 10x – 100x and master the digital transformation with your subject-matter experts. Highlights: - Work with millions of data records without delay (zooming etc.). - Select, cleanse, label and export data interactively - Connect with Python, R, Matlab, CSV, databases and OSISoft PI to get started in 1 minute.