Cost / License
- Free
- Proprietary
Platforms
- Mac
- Windows
- Linux
- Xfce

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.

R AnalyticFlow is a data analysis software that utilizes the R environment for statistical computing. In addition to intuitive user interface, it also provides advanced features for R experts.


Graph is an open source application used to draw mathematical graphs in a coordinate system. Anyone who wants to draw graphs of functions will find this program useful. The program makes it very easy to visualize a function and paste it into another program.

Number Analytics is an web based statistical software for academics and market research supporting various types of data (SPSS, Excel, CSV, STATA, Minitab, SAS) and platforms (iOS, Android, and Web).





ANKHOR is a revolutionary platform for in-memory processing of data from diverse sources and in variable data formats.





Altair SLC runs programs written with SAS language syntax without translation and without licensing other third-party products. Altair SLC is built to handle high levels of throughput and reduces clients’ capital costs and operating expenses.
Mojo is a specialized artificial intelligence (AI) programming language developed by Modular Inc. First released in May 2023, it is designed to become a superset of Python, with the performance of C.

STATISTICA is a tried and true analytics platform with more than two decades of history in delivering successful business results for our customers, a global user base of more than 600,000 users.

Statwing was built by and for analysts, so you can clean data, explore relationships, and create charts in minutes instead of hours. Simply upload your spreadsheet or dataset, then select the relationships you want to explore.




Open source framework for numerical computations and advanced statistical analysis, featuring nonlinear curve fitting, ODE solving, 1D/2D publication-quality visualization, Fourier and wavelet transforms, intuitive syntax, and namespace-based code organization for research.




NumeRe uses a similar data management approach as R and supports load-time data type detection. Additionally, the plotting and fitting features are really powerful and don't require too much code.

EViews (Econometric Views) is a statistical package for Windows, used mainly for time-series oriented econometric analysis.



I think that Number Analytics is good for beginners to R. R need coding and requires significant time to learn. Number Analytics does not need coding so that novices can start to use it right away. However, advanced analysis and graphs are not possible at Number Analytics. It would be great if you start with Number Analytics and learn R step by step.