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The RStudio integrated development environment (IDE) is available with the GNU Affero General Public License version 3. The AGPL v3 is an open source license that guarantees the freedom to share the code. RStudio Desktop and RStudio Server are both available in free and fee-based (commercial) editions. OS support depends on the format/edition ...
Shiny is a web framework for developing web applications (apps), originally in R and since 2022 in python. It is free and open source. [2] It was announced by Joe Cheng, CTO of Posit, formerly RStudio, in 2012. [3] One of the uses of Shiny has been in fast prototyping. [4] In 2022, a separate implementation Shiny for Python was announced. [5]
R is a programming language for statistical computing and data visualization.It has been adopted in the fields of data mining, bioinformatics and data analysis. [9]The core R language is augmented by a large number of extension packages, containing reusable code, documentation, and sample data.
It is distributed as free and open-source software under the Apache License 2.0, and is developed mainly by Microsoft. [2] The first version released was 0.3 on March 5, 2016, and the current (version 1.0) was released in 2017. [3] However, the project is described as "not actively supported" since February 2019. [4]
Anaconda is an open source [9] [10] data science and artificial intelligence distribution platform for Python and R programming languages.Developed by Anaconda, Inc., [11] an American company [1] founded in 2012, [11] the platform is used to develop and manage data science and AI projects. [9]
In 1992, the Macintosh version of Statistica was released. Statistica 5.0 was released in 1995. It ran on both the new 32-bit Windows 95/NT and the previous 16-bit version, Windows 3.1. It featured many new statistics and graphics procedures, a word-processor-style output editor (combining tables and graphs), and a built-in development ...
The number of CRAN packages has grown exponentially for many years, [18] and as of 2018 an average of 21 submissions of new or updated packages were made every day. [6] Since each submission is manually reviewed by a small team of CRAN maintainers, many of whom, according to R core developer Peter Dalgaard , are "approaching pensionable age ...
With the release of version 0.3.0 in April 2016 [4] the use in production and research environments became more widespread. The package was reviewed several months later on the R blog The Beginner Programmer as "R provides a simple and very user friendly package named rnn for working with recurrent neural networks.", [5] which further increased usage.