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Salstat is a free software application for the statistical analysis of numeric data with an emphasis on ease-of-use. [1] Using both a graphical user interface and command line interface, it can perform all sorts of analyses including descriptive statistics and a range of inferential tests (both parametric and nonparametric).
Installation packages are available for several operating systems such as Microsoft Windows, Ubuntu, Arch Linux, Linux Mint. On macOS, SOFA only runs on older versions the OS with Leopard being the minimum version. SOFA Statistics is written in Python, and the widget toolkit used is WxPython.
Download as PDF; Printable version; In other projects ... Python SDK, js SDK C#, C++, Python, R, js ... "A Short Preview of Free Statistical Software Packages for ...
There are a few reviews of free statistical software. There were two reviews in journals (but not peer reviewed), one by Zhu and Kuljaca [26] and another article by Grant that included mainly a brief review of R. [27] Zhu and Kuljaca outlined some useful characteristics of software, such as ease of use, having a number of statistical procedures and ability to develop new procedures.
pip (also known by Python 3's alias pip3) is a package-management system written in Python and is used to install and manage software packages. [4] The Python Software Foundation recommends using pip for installing Python applications and its dependencies during deployment. [5] Pip connects to an online repository of public packages, called the ...
WarpPLS – statistics package used in structural equation modeling; Wolfram Language [6] – the computer language that evolved from the program Mathematica. It has similar statistical capabilities as Mathematica. World Programming System (WPS) – statistical package that supports the use of Python, R and SAS languages within a single user ...
Orange is an open-source software package released under GPL and hosted on GitHub.Versions up to 3.0 include core components in C++ with wrappers in Python.From version 3.0 onwards, Orange uses common Python open-source libraries for scientific computing, such as numpy, scipy and scikit-learn, while its graphical user interface operates within the cross-platform Qt framework.
It is an open-source cross-platform integrated development environment (IDE) for scientific programming in the Python language.Spyder integrates with a number of prominent packages in the scientific Python stack, including NumPy, SciPy, Matplotlib, pandas, IPython, SymPy and Cython, as well as other open-source software.