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DataCracker Alternatives

We have listed 10 alternatives for DataCracker which have similar features like DataCracker including commercial, freemium, free and open source alternatives.

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MATLAB

Commercial

MATLAB (matrix laboratory) is a multi-paradigm numerical computing environment and fourth-generation programming language.
Mathematica

Commercial

Wolfram Mathematica (usually termed Mathematica, Mathematica software suite) is a mathematical symbolic computation program.
Maple

Commercial

Maple is a symbolic and numeric computing environment, and is also a multi-paradigm programming language.
SymPy

Open Source

SymPy is a Python library for symbolic computation. It provides computer algebra capabilities either as a standalone application, as a library to other applic…
SPSS Statistics is a software package used for logical batched and non-batched statistical analysis.
R is an open source programming language and software environment for statistical computing and graphics that is supported by the R Foundation.
RStudio

Open Source

RStudio is a free and open-source integrated development environment (IDE) for R, a programming language for statistical computing and graphics.
PSPP

Open Source

PSPP is a free software application for analysis of sampled data, intended as a free alternative for IBM SPSS Statistics.
SOFA Statistics

Open Source

SOFA Statistics is an open-source statistical package.
RKWard

Open Source

RKWard is a transparent front-end to the R programming language.

Compare DataCracker with alternatives

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Compare MATLAB and DataCracker and decide which is most suitable for you.
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Compare R (programming language) and DataCracker and decide which is most suitable for you.
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Compare Mathematica and DataCracker and decide which is most suitable for you.
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Compare RStudio and DataCracker and decide which is most suitable for you.
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Compare Maple and DataCracker and decide which is most suitable for you.
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Compare PSPP and DataCracker and decide which is most suitable for you.
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Compare SymPy and DataCracker and decide which is most suitable for you.
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Compare SOFA Statistics and DataCracker and decide which is most suitable for you.
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Compare IBM SPSS Statistics and DataCracker and decide which is most suitable for you.
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Compare RKWard and DataCracker and decide which is most suitable for you.