R (programming language) is described as 'R is a free software environment for statistical computing and graphics. It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues. R can be consider' and is a very popular programming language in the development category. There are more than 100 alternatives to R (programming language) for a variety of platforms, including Windows, Linux, Mac, Web-based and BSD apps. The best R (programming language) alternative is Python, which is both free and Open Source. Other great apps like R (programming language) are Julia, MATLAB, GNU Octave and Mathematica.
Wizard is a new Mac app that makes data analysis easier than ever. No programming, no typing — just click and explore. Wizard includes a full set of tools for doing professional research, yet its friendly interface makes statistics accessible to beginners.
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A very simple online IDE for R Language. It does all it says on the tin, including allowing you to import modules.
LIMDEP is a versatile and powerful specialized program for econometric analysis. LIMDEP is used by researchers in universities, government, and industry for econometric analysis.
The Dakota toolkit provides a flexible and extensible interface between simulation codes and iterative analysis methods. Dakota contains algorithms for optimization with gradient and non gradient-based methods; uncertainty quantification with sampling, reliability, and...
The definitive business analytics platform for data driven companies. Point and click Analytics made for analysts by analysts. Build your own analytical apps and share with the whole organization.
CuPy is an open-source array library for GPU-accelerated computing with Python. CuPy utilizes CUDA Toolkit libraries including cuBLAS, cuRAND, cuSOLVER, cuSPARSE, cuFFT, cuDNN and NCCL to make full use of the GPU architecture.
Data transformation software for Windows and Mac. Merge, dedupe, clean and reformat your data without programming.
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A software package designed to solve computationally hard problems in algebra, number theory, geometry and combinatorics.
Designed for scientific computation, this language and editor provides low-cost abstraction and safety checks, focusing on matrix operations with syntax parity to scientific papers. It offers math rendering, real-time dimension checks, and intuitive user experience.
Is a cross-platform software package for econometric analysis, written in the C programming language that can import SPSS data files.
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