SAS is the leader in business analytics software and services, and the largest independent vendor in the business intelligence market.
R (programming language) Alternatives
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 50 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 MATLAB, GNU Octave, Julia and Mathematica.
Alternatives list
- 50 SAS alternatives
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.
Cost / License
- Free
- Proprietary
Platforms
- Mac
- Windows
- Linux
26 Number Analytics alternativesNumber 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).
Cost / License
- Subscription
- Proprietary
Application type
Platforms
- Mac
- Windows
- Linux
- Online
- Android
- iPhone
- Android Tablet
- Windows Phone
- iPad
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Comments about Number Analytics as an Alternative to R (programming language)
Number Analytics is the most popular Android Tablet alternative to R (programming language).
- Number Analytics is Paid and Proprietary
ANKHOR is a revolutionary platform for in-memory processing of data from diverse sources and in variable data formats.
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Cost / License
- Free
- Proprietary
Alerts
- Discontinued
Platforms
- Online
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.
Cost / License
- Pay once
- Proprietary
Platforms
- Mac
- Windows
- Linux
- Solaris
75 NumeRe alternativesOpen 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.
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Comments about NumeRe as an Alternative to R (programming language)
NumeRe.orgNumeRe 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.
- NumeRe is Free and Open Source
- NumeRe is Privacy focused
37 STATISTICA alternativesSTATISTICA 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.
Cost / License
- Pay once
- Proprietary
Platforms
- Windows
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.
Cost / License
- Free
- Open Source
Alerts
- Discontinued
Platforms
- Windows
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.
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19 EViews alternativesEViews (Econometric Views) is a statistical package for Windows, used mainly for time-series oriented econometric analysis.
Cost / License
- Paid
- Proprietary
Platforms
- Windows
AD Model Builder, or ADMB, is a powerful software package for the development of state-of-the-art nonlinear statistical models. ADMB is built around the AUTODIF Library, a C++ language extension which implements reverse mode automatic differentiation.
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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.