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  2. pip (package manager) - Wikipedia

    en.wikipedia.org/wiki/Pip_(package_manager)

    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 ...

  3. Orange (software) - Wikipedia

    en.wikipedia.org/wiki/Orange_(software)

    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.

  4. Conda (package manager) - Wikipedia

    en.wikipedia.org/wiki/Conda_(Package_Manager)

    Conda is an open-source, [2] cross-platform, [3] language-agnostic package manager and environment management system. It was originally developed to solve package management challenges faced by Python data scientists, and today is a popular package manager for Python and R.

  5. List of statistical software - Wikipedia

    en.wikipedia.org/wiki/List_of_statistical_software

    SciPy – Python library for scientific computing that contains the stats sub-package which is partly based on the venerable |STAT (a.k.a. PipeStat, formerly UNIX|STAT) software scikit-learn – extends SciPy with a host of machine learning models (classification, clustering, regression, etc.)

  6. Free statistical software - Wikipedia

    en.wikipedia.org/wiki/Free_statistical_software

    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 There were two reviews in journals (but not peer reviewed), one by Zhu and Kuljaca [26] and another article by Grant that included mainly a brief review of R. [27] Zhu and Kuljaca outlined some useful characteristics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.

  7. Stan (software) - Wikipedia

    en.wikipedia.org/wiki/Stan_(software)

    Stan is a probabilistic programming language for statistical inference written in C++. [2] The Stan language is used to specify a (Bayesian) statistical model with an imperative program calculating the log probability density function.

  8. Python Package Index - Wikipedia

    en.wikipedia.org/wiki/Python_Package_Index

    The Python Distribution Utilities (distutils) Python module was first added to the Python standard library in the 1.6.1 release, in September 2000, and in the 2.0 release, in October 2000, nine years after the first Python release in February 1991, with the goal of simplifying the process of installing third-party Python packages. [10] [11]

  9. Windows Package Manager - Wikipedia

    en.wikipedia.org/wiki/Windows_Package_Manager

    The Windows Package Manager (also known as winget) is a free and open-source package manager designed by Microsoft for Windows 10 and Windows 11. It consists of a command-line utility and a set of services for installing applications. [5] [6] Independent software vendors can use it as a distribution channel for their software packages.