Top 48 Free Statistical Software
Statistical software are programs which are used for the statistical analysis of the collection, organization, analysis, interpretation and presentation of data. In a world full of uncertainty, business statistics play a significant role in business and helps managers make an informed decision in disciplines such as quality assurance, production, and operations, financial analysis, auditing and econometrics among others.
Business managers need to collect, analyze and make inferences from a vast amount of data. Business statistics help them discover patterns and trends of customers and other useful information that help them make decisions.
Business statistics also help businesses managers measure the performance of the workers as well as improve the products and services produced. Statistics also helps the managers forecast as well as make correct predictions about what could occur to the industry in future.
Business statistics also plays a massive role in measuring the financial position of the company.
What are the Top Free Statistical Software: SAS University Edition, GNU PSPP, Statistical Lab, Develve, Shogun, DataMelt, GNU Octave, SOFA Statistics, Dataplot, SciPy, Zelig, Scilab, Gretl, OpenStat, Past, MacAnova, MaxStat Lite version, SageMath, Epi Info, NIMBLE, Arc, ADaMSoft, CumFreq, OpenMx, Salstat, Statcato, Stan, IDAMS, OpenEpi, BV4.1, pbdR, GNU Data Language, Dap, Simfit, First Bayes, MicrOsiris, Ploticus, NCAR Command Language, Perl Data Language, Yorick, EasyReg, IVEware, ViSta, StatCVS, WinBUGS, JAGS, WINPEPI, ADMB are some of the top free statistical analysis software.
What are Statistical Software?
Statistical Analysis is the science of collecting, exploring and presenting large amounts of data to discover underlying patterns and trends and these are applied every day in research, industry and government to become more scientific about decisions that need to be made. Statistical Software helps in analysis of data.
The software can either read data directly from an excel spreadsheet, the user can enter the data directly to the software, or the user can use a specialized data entry software to capture data.
The statistical software then manipulates the information they possess to discover patterns which can help the user uncover business opportunities and increase their business revenues and profits. It helps users with predictive analytics, data management, business intelligence and multivariate analysis.
What are Statistical Software
- Analysis of variance: Features for Balanced and unbalanced designs, Multivariate analysis of variance and repeated measurements and Linear models.
- Bayesian analysis: Built-in Bayesian modeling and inference for generalized linear models, accelerated failure time models, Cox regression models and finite mixture models.
- Regression Analysis: The statistical software helps the user understand which among the independent variables are related to the dependent variable and find out more about the forms of such relationships.
- Reporting/Analytics: Statistical software should have the ability to explore data and reports to extract useful insights which can, in turn, be used to understand and improve business performance.
- Statistical Process control: Statistics software helps in quality control which is performed by statistical methods to monitor and control the process.
- Survey sampling and analysis: Sample selection, Descriptive statistics, Linear and logistic regression, Proportional hazards regression and Missing value imputation.
- Visualization: Statistical data helps analyze data into visual imagery where it creates diagrams, graphs, images or animations to communicate the message from the data.
Statistical Software plays a vital role in business. It helps the user analyze vast volumes of data to derive meaning from it and then make the right decisions
You may also like to review the proprietary statistical software solutions list which is given below:
Top Free Statistical software
SAS University Edition
Under the education initiative, SAS Analytics U, launched Free SAS software for higher education called SAS University Edition. SAS University Edition is a free version of select SAS products for teaching and learning statistics and quantitative methods. SAS University Edition provides easy access to statistical software for research and other courses like economics, social sciences, computer science, business, medical, health and engineering. Once downloaded, the software can be used in a standalone PC, Mac or a Linux workstation. The package also includes e learning classes and training videos and access to the SAS Analytics U community, where you can interact…
• An intuitive interface
• A powerful programming language
• Comprehensive, reliable tools
• A robust, yet flexible matrix programming language
• Several time series forecasting procedures
• Out-of-the-box access to PC file formats
Free
• An intuitive interface
• A powerful programming language
• Comprehensive, reliable tools
• Powerful statistical software for free
• Easy to access and use
• Great user's community
GNU PSPP
GNU PSPP is a program for statistical analysis of sampled data. It is a alternative for IBM SPSS Statistics and is written in C. It has a graphical user interface and conventional command-line interface. PSPP functionality includes descriptive statistics, T-tests, anova, linear and logistic regression, cluster analysis, reliability and factor analysis, non-parametric tests and more. PSPP features include support for over 1 billion cases, support for over 1 billion variables, syntax and data files which are compatible with those of SPSS, choice of terminal or graphical user interface, choice of text, postscript, pdf, opendocument or html output formats, easy data…
• Support for over 1 billion cases.
• Support for over 1 billion variables.
• Syntax and data files which are compatible with those of SPSS.
• A choice of terminal or graphical user interface.
• A choice of text, postscript, pdf, Opendocument or html output formats.
• Inter-operability with Gnumeric, LibreOffice, OpenOffice.org and other free software.
• Easy data import from spreadsheets, text files and database sources.
• The capability to open, analyze and edit two or more datasets concurrently. They can also be merged, joined or concatenated.
• A user interface supporting all common character sets and which has been translated to multiple languages.
• Fast statistical procedures, even on very large data sets.
• No license fees.
Free
• Support for over 1 billion cases.
• Support for over 1 billion variables.
• Syntax and data files which are compatible with those of SPSS.
•Does not expire
•Free license
•Enter an unlimited number of samples
Statistical Lab
Statistical Lab is an explorative and interactive tool designed both to support education in statistics and provide a tool for the simulation and solution of statistical problems. The graphical user interface is designed to make complex statistical relations easy to understand. It connects and displays data frames, frequency tables, random numbers or matrixes in a user-friendly statistical worksheet allowing users to run calculations, conduct analyses and perform multiple simulations and manipulations. Standard graphs such as histograms, boxplots or scatterplots can easily be drawn using the 'R-Graph Wizard'. Depending on the desired complexity, individual variables can be graphed and provided with…
• Scalability
• Didactical Basis
• Improving Education
• Flexibility
• Sustainability
Free
• Plain Visualisation
• Sample solution for the assignments
• The R Engine
• Graphical user interface
• Enable to explore complex statistical relations
• Integration with R
Develve
Develve is a statistical software for fast and easy interpretation of experimental data in science and R&D in a technical environment. Develve helps with analysis and prevents making false assumptions. In short it makes statistics faster and easier, suitable for less experience users but advanced enough for more demanding users. Develve has no deep hidden menus, everything is directly accessible and the results are directly visible, to improve the productivity. For instance the result graphs are easily scrollable and with a click on a graph a bigger version will pop up. Develve clearly indicates when two variables are significantly different,…
•Mean
•Sample counting n
•STDEV
• Median
•Full version of Develve 75Euro Update License 25Euro
• t-test
• Wilcoxon–Mann–Whitney-test
• Variation F-test
• Tests normally distributed data
• Test non normal distribution data
• Measures system analyses
Shogun
Shogun is a free, open source toolbox written in C++. It offers numerous algorithms and data structures for machine learning problems. The focus of Shogun is on kernel machines such as support vector machines for regression and classification problems. Shogun also offers a full implementation of Hidden Markov models. The toolbox seamlessly allows to easily combine multiple data representations, algorithm classes, and general purpose tools. This enables both rapid prototyping of data pipelines and extensibility in terms of new algorithms. It now offers features that span the whole space of Machine Learning methods, including many classical methods in classification, regression,…
• Free software, community-based development and machine learning education
• Supports many languages from C++, Python, Octave, R, Java, Lua, C#, Ruby, Etc.
• Runs natively under Linux/Unix, Macos, and Windows
• Provides efficient implementation of all standard ml algorithms
• Libsvm/Liblinear, Svmlight, Libocas, Libqp, Vowpalwabbit, Tapkee, Slep, Gpml and more
Free
• Free software, community-based development and machine learning education
• Supports many languages from C++, Python, Octave, R, Java, Lua, C#, Ruby, Etc.
• Runs natively under Linux/Unix, Macos, and Windows
•Completely free to use
•Goes on many operating systems
•Works on different platforms
DataMelt
DataMelt, or DMelt, is a software for numeric computation, statistics, analysis of large data volumes ("big data") and scientific visualization. The program can be used in many areas, such as natural sciences, engineering, modeling and analysis of financial markets. DMelt is a computational platform. It can be used with different programming languages on different operating systems. Unlike other statistical programs, it is not limited by a single programming language. DMelt can be used with several scripting languages, such as Python/Jython, BeanShell, Groovy, Ruby, as well as with Java. Most comprehensive software. It includes more than 30,000 Java classes for computation…
•DMelt with all jar libraries and IDE. Mixed GPL and non-GPL licences (180 MB size)
•Online manual (basic introduction)
•Access to Java API of DMelt core library (600 classes)
•Community forum and bug tracker
•Updates of separate jar files via DMelt IDE NO YES YES
•Full version of DMelt manual
•Access to Java API (30,000 classes) with full search
•Access to Image gallery with code examples
•Web access to more than 500 DMelt examples with searchable database
Many features are free. For all the features the user must pay for memebership.
•DMelt with all jar libraries and IDE. Mixed GPL and non-GPL licences (180 MB size)
•Online manual (basic introduction)
•Access to Java API of DMelt core library (600 classes)
•Access to Java API of DMelt core library
•Community forum and bug tracker
•Access to Image gallery with code examples
GNU Octave
GNU Octave represents a high level language intended for numerical computations. Because of its command line interface, users can solve linear and nonlinear problems numerically and perform other numerical experiments through a language that is mostly compatible with Matlab. This software has features such as powerful mathematics-oriented syntax with built-in plotting and visualization tools, it is free software which runs on GNU/Linux, macOS, BSD, and Windows, compatible with many Matlab scripts. A syntax which is largely compatible with Matlab is the Octave syntax. It can be run in several ways - in GUI mode, as a console, or invoked as…
•High level language intended for numerical computations
•Solving linear and nonlinear problems numerically
•Powerful mathematics-oriented syntax
•Runs on GNU/Linux, macOS, BSD, and Windows
•Freely redistributable
Free
•High level language intended for numerical computations
•Solving linear and nonlinear problems numerically
•Powerful mathematics-oriented syntax
•Drop-in compatible with Matlab scripts
•Comprehensive help installation
•Built-in plotting and visualization tools
SOFA Statistics
SOFA Statistics is a complete package for statistics that is user friendly and provide open source statistics and analysis. SOFA statistics features the beauty- attractive output feature. The beauty-attractive feature enables users to perform analysis or statistics programming. This feature therefore provides users with a good platform for giving out presentations and automated reporting without reworking or manual formatting. SOFA Statistics is database friendly to its users. This enables users to connect directly to his or her database and all the tables unlike other statistic s programs which require users to import data from their database before starting to use…
• Beauty-Attractive Output
• Database friendly
• Spreadsheet friendly
• Data entry friendly
• Output you can share easily.
• Free
• Beauty-Attractive Output
• Database friendly
• Spreadsheet friendly
Dataplot
DATAPLOT is a public-domain, multi-platform software system for performing scientific visualization, statistical analysis, and non-linear modeling. It was developed in response to data analysis problems encountered at the National Bureau of Standards (now the National Institute of Standards and Technology). DATAPLOT is primarily written in Fortran-77, highly portable, and can be installed on any device operating on Unix, Linux, Mac OS X, and Windows operating systems. DATAPLOT is designed for researchers and analysts engaged in the characterization, modeling, visualization, analysis, monitoring, and optimization of scientific and engineering processes. DATAPLOT Raw graphics including 2D, 3D, character/line/spike/bar plots, auto-labeling, auto-scaling, legends, sizing,…
• Raw and Dynamic Graphics
• Graphical and Exploratory data analysis
• Time series analysis
• Statistics/Probability Calculations
• Multivariate analysis
• Experiment design
• Statistical Process control
• Mathematical operations
• Raw and Dynamic Graphics
• Graphical and Exploratory data analysis
• Time series analysis
• Statistics/Probability Calculations
• Multivariate analysis
• Experiment design
SciPy
SciPy Stack, is a collection of open source software for scientific computing in Python, and particularly a specified set of core packages. SciPy is an open source and free python based software used for technical computing and scientific computing. SciPy is commonly used in solving science, engineering and mathematics problems. SciPy features core packages that provide computing tools for Python. The first package is the Python whose general purpose is acting as the programming language in SciPy. The python provides users with an interactive interface with the ability of interpretation and dynamically typing and suited for interactive work and fast…
• Python
• NumPy
• SciPy library
Zelig
Zelig is a free, easy to use, open source general purpose statistics program for interpreting, estimating and presenting results from any statistical method. Zelig is a unique general purpose statistics program due to its ability to turn the power R but with free diverse examples, ranging syntax and documentation written for the different audiences by the same consistent documentation and three commands for every method. Zelig is also unique from other programs as it improves the use of the existing methods by adding considerable infrastructure. Zelig provides users with a good platform for translation of the hard to get intercepts…
• Specific methods, based on likelihood, frequentist, Bayesian, robust Bayesian
• Nonparametric, and population
• Superpopulation theories of inference.
• Uncertainty estimates (generalizing Clarify for Stata); automates graphics and numerical summaries for all models;
• Evaluates counterfactuals (incorporating WhatIf)
• Combines multiply imputed data sets to impute missing data and correct for measurement error (via Amelia)
• Automates bootstrapping for all models
• Free
• Specific methods, based on likelihood, frequentist, Bayesian, robust Bayesian
• Nonparametric, and population
• Superpopulation theories of inference.
Scilab
Scilab is an interpreted programming language that is associated to a detailed collection of numerical algorithms that solve many aspects of scientific problems. Users do not pay for Scilab therefor making it a free software. The binaries used in Scilab provide users with a good platform to process the 32 and 64-bit type of data. Scilab has main features that enable users interact more and easily with Scilab. They include optimization, statistics, maths and simulation, signal processing, application development, 2-D and 3-D visualization and the control system design and analysis. Scilab through the signal processing feature provides users with the…
• Optimization
• Statistics
• Signal processing
• Application development
• Maths and Simulation
• 2-D and 3-D visualization
• Control system design and analysis
• Free
• Application development
• Maths and Simulation
• 2-D and 3-D visualization
Gretl
Gretl is a free, open-source cross-platform software package for econometric analysis, written in the C programming language. Gretl offers features such as French, Italian, Spanish, Polish, German, Basque, Catalan, Galician, Portuguese, Russian, Ukrainian, Turkish, Czech, Traditional Chinese, Albanian, Bulgarian, Greek, Japanese and Romanian as well as English language support. It features a wide variety of estimators: least squares, maximum likelihood, GMM; single-equation and system methodsleast squares, maximum likelihood, GMM; single-equation and system methods, ARIMA, a wide variety of univariate GARCH-type models, VARs and VECMs (including structural VARs), unit-root and cointegration tests, Kalman filter, logit, probit, tobit, sample selection, interval regression,…
• Easy intuitive interface
• A wide variety of estimators
• Time series methods
• Limited dependent variables
• Panel-data estimators
• An expanding range of contributed function packages, written in hansl
• Facilities for easy exchange of data and results with GNU R, GNU Octave, Python, Ox and Stata
• Free
• Output models as LaTeX files, in tabular or equation format
• Integrated powerful scripting language (known as hansl)
•Wide range of programming tools and matrix operations
• GUI controller for fine-tuning Gnuplot graphs
OpenStat
OpenStat is an ongoing project created for use by students, teachers, researchers, and practitioners with no claim or warranty as to the accuracy, completeness, reliability or other characteristics desirable in commercial packages which is designed to provide a means for analysis by individuals with very limited financial resources. OpenStat contains features such as a large variety of parametric, nonparametric, multivariate, measurement, statistical process control, financial and other procedures where users can also simulate a variety of data for tests, theoretical distributions and multivariate data. The “grid” is where data values are entered and where each column represents a “variable” and…
• The Files Menu
• The Variables Menu
• The Edit Menu
• The Analyses Menu
• The Data Grid
• Free
• The Files Menu
• The Variables Menu
• The Edit Menu
• The Analyses Menu
• The Data Grid
Past
Past is an open free software for data analysis and scientific with functions of plotting, data manipulation, univariate and multivariate statistics, time series, ecological analysis, morphometric, stratigraphy and spatial analysis. Past provides a data analysis package that is easy to be used and includes statistical, plotting and modelling functions. Past enable Excel users a spreadsheet type data entry form where they can enter their data. Past is easy to use because it provides an interactive user interface and easy scripting. Data analysts can perform curve fitting in Past. The types of curve fitting include; linear with bootstrapping and permutation, Breusch-Pagan…
• Curve fitting
• Multivariate statistics
• Time series analysis
• Geometrical analysis
• Parsimony analysis
• Gridding
• Free
• Curve fitting
• Multivariate statistics
• Time series analysis
MacAnova
MacAnova is an open-source, interactive statistical analysis program for Windows, Macintosh, and Linux. MacAnova is written and developed by two statisticians, Gary W. Oehlert and Christopher Bingham, both of the School of Statistics, University of Minnesota. In contrast to its name, MacAnova is not just designed for Macintosh computers and also not made for doing Analysis of Variance only. MacAnova contains several capabilities though it is most proficient in analysis of variance and related models, matrix algebra, time series analysis (time and frequency domain), and to a lesser extent uni-variate and multi-variate exploratory statistics. It is reasonably fast and is…
• Variables and operations
• Descriptive statistics
• Linear and generalized linear models
• Matrix algebra
• Time series
• Multivariate analysis
• Design of experiments
• Variables and operations
• Descriptive statistics
• Linear and generalized linear models
• Random numbers and probabilities
• Graphical features
• Transformations
MaxStat Lite version
MaxStat Lite version is a free statistical analysis software to use for non-commercial purpose which completes statistical analysis in three easy steps within a single dialog box and supports over 100 commonly used statistical tests and makes it easy to interpret results and create high-quality graphs. Maxstat Lite vesion includes features such as 254 rows, 12 columns, 3 data tables, print and print preview, Descriptive, Row means, Variance tests, Bartlett test, Two sample F test, Chi-square test, Normality tests, Anderson-Darling test, Shapiro-Wilk test, Lilliefors test, Bera-Jeraque test, Kologorow-Smirnov, Grubbs outlier test, t-tests and nonparametric, Paired t-test, Unpaired t-test, One-sample t-test,…
• Data capacity
• Basic statistics
• Hypothesis testing
• Regression analysis
• Correlation analysis
• Distributions
• Charting styles
• Charting features
• MaxStat Lite - Free
• Data capacity
• Basic statistics
• Hypothesis testing
• Regression analysis
• Correlation analysis
SageMath
SageMath is an open source mathematics software system. SageMath is built on the foundation of many existing open source packages such as matpoltib, NumPy and many more. SageMath combines all these open software packages through a python-based language or directly via wrappers and interfaces. SageMath provide users with a user interface principle that provides question and answer feature that is also found in software systems. SageMath provides its users with the Quickstart feature which provides a short introduction on how to interact with SageMath. Proper installation of the Quickstart feature, enable users to be guided more easily on how to…
• Quickstart with SageMath
• SageMath graphics
• Regions Plot / Contours
• Plotting and Graphics
• Free
• Quickstart with SageMath
• SageMath graphics
• Multiedge Graph
• Filled Plots
• Density Plot
Epi Info
Epi Info is an open domain suite to the public that provide software tools for researchers and health practitioners in the global community of public health. Epi Info provides researchers and health practitioners’ tools for easy database construction and entry form. Epi info also provides data analyses and a customized data entry experience for the professional in the global community of health. Health professionals who do not have a background in technology and wish to use Epi Info are also covered because Epi Info uses maps, epidemiologic statistics and graphs which are easy to be used. Epi Info provides a…
• Epi Info for Windows
• Epi Info for Mobile
• Epi Info for Web and Cloud
NIMBLE
Nimble is a system for building and sharing analysis methods for statistical models mostly for computationally-intensive and hierarchical methods and hence you can turn the BUGS code into model projects which will be used for whatever algorithm you want. It is built in R but uses C++ to compile your models and algorithms.its components include; an initial library of algorithms for models written in bugs which can be customized from R or used directly before being compiled and run, language embedded in R for programming algorithms for models, and a system for using models written in bugs model language as…
• Write statistical models
• Use and customize statistical algorithms
• Compile your models for fast execution
• Write your own algorithms
• Compile numerical work
• Free
• Write statistical models
• Use and customize statistical algorithms
• Compile your models for fast execution
Arc
Arc is an Xlisp-Stat application for the analysis of regression models that study the dependence of a response on a set of predictors. Most of the methodology in the basic Arc is based and described on the book, Applied Regression Including Computing and Graphics, by R. D. Cook and Sanford Weisberg, of the University of Minnesota. Arc is a user-friendly program designed specifically for use while studying this material, and for applying the ideas learned to other data sets. The program permits the user to perform the diverse analysis methods as discussed in the book easily and quickly. Regression is…
• Multiple Linear regression
• Inverse regression
• Dynamic analysis
• Regression Graphics
• Multiple Linear regression
• Inverse regression
• Dynamic analysis
• Simulations
• Predictor Transformations
• 2D/3D Scatterplots
ADaMSoft
ADaMSoft is a free and open-source system for data management, data and web mining, statistical analysis. ADaMSoft offers procedures such as Principal component analysis, Text mining, Web Mining, Analysis of three ways time arrays, Linear regression with fuzzy dependent variable, Utility, Synthesis table, Import a data table (file) in ADaMSoft (create a dictionary), Charts, Neural network (MLP), Association measures for qualitative variables. Linear algebra, Evaluate the results of function approximation, Data Management, Function fitting, Error localization and data imputation, Decision trees, Statistics on quantitative variables, Record linkage, Evaluate the result of classification models, Cluster analysis (k-means method), Correspondence analysis, Data…
• Use the same package in different platforms; you just need to have installed the Java Runtime Environment
• Obtain a single product for Data Integration, Analytical ETL, Data Analysis, Reporting,...
• Consider a powerful syntax to recode, modify, transform your data, that is based on the Java language, enriched with many functions that access data sets
• Easily access to the most common data sources and associated to them proper meta data
• Use hundreds of statistical procedures to analyze your data, to visualize their internal relations, etc.
• Free
• Use the same package in different platforms; you just need to have installed the Java Runtime Environment
• Obtain a single product for Data Integration, Analytical ETL, Data Analysis, Reporting,...
• Consider a powerful syntax to recode, modify, transform your data, that is based on the Java language, enriched with many functions that access data sets
CumFreq
The CumFreq model program calculates the cumulative (no exceedance, non-exceedance) frequency and it does probability distribution fitting of data series. CumFreq model program offers features such as various linear, logarithmic, exponential and double exponential cumulative frequency distributions, including the normal, log-normal (lognormal), (log)logistic, Cauchy, Pareto, Weibull, Frechet (Fisher-Tippett type II), and Gumbel probability distributions, and selects the best fitting distribution using the method of best fit. The Cumfreq calculator model not only uses logarithmic but also exponential transformations of the data where the exponent (greater than 0) is optimized automatically and these so called generalized distributions have great flexibility, but…
• An input menu for data handling
• A calculation phase
• An output menu for inspecting results including graphs
• A possibility to make *.prn or *.txt files for spreadsheet use
• Free
• An input menu for data handling
• A calculation phase
• An output menu for inspecting results including graphs
• A possibility to make *.prn or *.txt files for spreadsheet use
OpenMx
OpenMx is a free and open source software for use with R that allows estimation of a wide variety of advanced multivariate statistical models. OpenMx consists of features such as a library of functions and optimizers that allow users to quickly and flexibly define an SEM model and estimate parameters given observed data. OpenMx runs on MacOS, Windows, and most varieties of Linux/GNU where the same scripts users write in Windows will run in MacOS or Linux. OpenMx can be used by those who think in terms of path models or by those who prefer to specify models in terms…
• Multivariate Covariance Modeling
• Covariance Modeling With Means
• Full Information Maximum Likelihood
• Missing Data
• Categorical Threshold Estimation
• Multiple Groups
• Hierarchical Model Definition
• Multicore Computers
• Large Scale Distributed Processing
• Free
• Integration with R
• Supports Popular Operating Systems
• Open Source
• Mixed Effects
• Matrix Algebra Calculations
• Parameter Equality Constraints
Salstat
Salstat is a free and open source program application allows statistical analysis of numeric data to be performed in an easy way. Salstat simply makes data analysis friendly to the user. Salstat goal is to remove the challenges faced by users who first learn how to use statistical analysis program instead of analyzing data. Salstat comes with a lot of inferential tests that enhance user’s understanding in data analysis. The inferential tests range from a single basic test to advanced multi sample tests. Salstat being open source, it enables users to examine the source codes themselves and also examine whether…
• Open source
• Inferential tests
• Descriptives
•t-test (1 sample)
•t-test for two samples (within and between subjects)
•Univariate ANOVA (within and between subjects)
•Linear regression
• Free
Statcato
Statcato is a free and open java software application that is developed for elementary statistical computations. Statcato is ideal for instructors and college statistics students due to its tailored features that help them complete elementary statistical computation tasks. Instructors and college statistics students, who do not have a prior knowledge in using Statcato, are first offered with the two main windows. They two main windows include Log and Datasheet. The Log window is where the outputs of computations will be displayed. The Datasheet Window contains sheet of data values whereby the user can edit and manipulate the data values using…
• Descriptive statistics
• Analysis of variance
• Correlation and regression
• Normality test
• Multinomial experiments
• Free
• Descriptive statistics
• Analysis of variance
• Correlation and regression
Stan
Stan is an open source software and also freedom respecting which is mainly used for facilitating statistical inference at the frontiers of applied statistics. Stan platform usually is made capable by a number of allies who kindly support this platform, first of all, stan consists of the Stan development team which rather shows that the project is a team of effort comprised of full time and volunteer developers around the world, it consists of core developers for instance we have Andrew Gelman from Columbia University, Daniel Lee from the Stan group, Ben Goodrich also from Columbia University, Michael Betancourt from…
• Statistical modeling, data analysis, and prediction
• Full Bayesian statistical inference with MCMC sampling
•Approximate Bayesian inference with variational inference
• Free
• Statistical modeling, data analysis, and prediction
• Full Bayesian statistical inference with MCMC sampling
•Approximate Bayesian inference with variational inference
IDAMS
Idams statistical software is a software package that ensures validation, manipulation and statistical analysis of data, developed by the UNESCO secretariat in cooperation with the designated experts from different countries and it's distributed for free to a willing customer upon his or her request. WinDAMS offers quite a number of services which are regarded to benefit each and every candidate according to his or her needs. It offers modern graphical user interface and online reference manual, it also gives you the capability to customize the environment of an application, facilities for making edits and creating certain data files and data…
• Modern graphical user interface and on-line Reference Manual,
• Possibility to customize the environment for an application,
• Facilities for editing/creating data files and data description files,
• Interactive data import/export,
• Editor for creating/updating files with instructions for program execution,
• Viewer for displaying and quick navigation through results,
• Advanced text editing facilities,
• Free
• Modern graphical user interface and on-line Reference Manual,
• Possibility to customize the environment for an application,
• Facilities for editing/creating data files and data description files,
OpenEpi
OpenEpi provides statistics for counts and measurements in descriptive and analytic studies, sample size and power calculations, stratified analysis with exact confidence limits, analytic studies, random numbers, sensitivity, specificity and other evaluation statistics, chi-square for dose response, RxC tables, and links to other useful sites. OpenEpi can be run from the server or downloading whereby no web connection will not be required. OpenEpi is free and open source software for epidemiologic statistics. The programs are written in JavaScript and HTML and should at all cost be compatible with Mac, the recent Linux and PC browsers regardless of the operating system…
•Measurements in descriptive and analytic studies
•Stratified analysis with exact confidence limits, matched pair and person-time analysis
•Sample size and power calculations, random numbers
•Sensitivity, specificity and other evaluation statistics,
• Free
•Measurements in descriptive and analytic studies
•Stratified analysis with exact confidence limits, matched pair and person-time analysis
•Sample size and power calculations, random numbers
BV4.1
BV4.1 is mathematical bases of decomposition procedures, which is suitable for analyzing monthly and quarterly economic series where BV stands for Berliner Verfahren (Berlin procedure). This differs from BV4 by methodical improvements in the treatment of calendar effects and so-called outliers which refers to time series values differing substantially from the general structure of the series values because of unusually large irregular influences. BV4.1 offers features such as performing BV4.1 analyses of monthly and quarterly time series where the maximum length of the series is limited to 360 observations and the minimum length is 60 observations for monthly series and…
• Technical requirements:
• Windows XP or former,
• Java Runtime Environment (JRE) 1.4.1 and later.
• Processing data formats:
• CSV,
• EXCEL 95 to EXCEL 2010,
• ACCESS 97+ or
• SQL-Server 7.0+.
• Free
• Technical requirements:
• Windows XP or former,
• Java Runtime Environment (JRE) 1.4.1 and later.
pbdR
The "Programming with Big Data in R" project (pbdR) is a set of highly scalable R packages for distributed computing and profiling in data science. The "Programming with Big Data in R" project (pbdR) offers packages which includes Application, Communication, Computation, Developers, I/O and Profiling. Application packages are specifically purposed packages that utilize pbdR such as pbdML which are machine learning algorithms, using pbdDMAT; cubfits for estimating mutation and selection coefficients on synonymous codon bias usage based on models of ribosome overhead cost (ROC); pmclust which are tools for parallel model-based clustering and includes k-means and Gaussian mixture modeling, and…
GNU Data Language
GNU Data Language (GDL) is a free/libre/open source incremental compiler compatible with IDL and to some extent with PV-WAVE and together with its library routines it serves as a tool for data analysis and visualization in such disciplines as astronomy, geosciences and medical imaging. GNU Data Language (GDL) offers features such as GDL library, supports several data formats such as netCDF, HDF4, HDF5, GRIB, PNG, TIFF, DICOM, etc. Graphical output is handled by X11, PostScript, SVG or z-buffer terminals. The last one allowing output graphics (plots) to be saved in a variety of raster graphics formats, integrated debugging facilities and…
• Objects, pointers, structs and arrays,
• System, common block and assoc variables,
• All operators and datatypes,
• _EXTRA, _STRICT_EXTRA and _REF_EXTRA keywords.
• Free
• Objects, pointers, structs and arrays,
• System, common block and assoc variables,
• All operators and datatypes,
• FOREACH loop
• Negative array indices
• Garbage collection pointers and objects
Dap
Dap is a graphic and static software that performs analysis, data management and graphical visualization tasks that are required in statistical consulting practice. Dap is able to read SBS programs therefor enabling users who wish to perform basic statistical analyses not to learn and use C Syntax for the straightforward tasks. The original implementation enables users to retain access to the C-style graphics and statistics features provided by Dap. Dap’s C-style features are easy and quickly to be used by users as they provide manual and examples that are detailed. Dap also contains advanced features of C. Dap uses a…
• C-style graphics and statistics features
• Core methods of data management, analysis, and graphics
• Univariate statistics, correlations and regression, ANOVA, categorical data analysis
• Logistic regression, and nonparametric analyses
• Free
• C-style graphics and statistics features
• Core methods of data management, analysis, and graphics
• Univariate statistics, correlations and regression, ANOVA, categorical data analysis
Simfit
Simfit is a package of Windows or Linux software that is open source and enables a user to perform curve fitting, simulation, statistics and plotting by use of library models or user defined equations. Simfit features forty programs that are essential to users to perform aspects of simulation, data analysis, plotting. The forty programs also come with a reference manual that contains statistical details and mathematical details. The tutorials and worked examples featured in Simfit explain to users the data analyzing process of the default data sets supplied for every procedure. Users dealing with data in Clipboard and spreadsheet export…
• Simulation
• Curve fitting
• Special functions
• Graph plotting
• Calculations
• NAG library routines
• Free
• Simulation
• Curve fitting
• Special functions
First Bayes
First Bayes is a software package used for teaching elementary Bayesian Statistics. First Bayes simply provides an aid to learning Bayesian Statistics together with suitable reading. It is majorly a Windows application and is configured to be easy to use and allow most standard, elementary and Bayesian analyses to be performed. First Bayes runs on IBM-PC compatibles under MS-Windows. First Bayes is an open software therefore anyone interested in learning Bayesian Statistics can easily access it provided it is not used for gaining profit. First Bayes comes in three different forms. The first form is available for the Windows Vista.…
• Predictive distributions
• Analysis of two sample kinds of linear models
• Plotting of distributions from the thirteen standard families
• Free
• Predictive distributions
• Analysis of two sample kinds of linear models
• Plotting of distributions from the thirteen standard families
MicrOsiris
MicrOsiris is a detailed data management and statistical package for Windows. Users using MicrOsiris are able to feed more than 50,000 variables and import more than 10,000 variables from STATA, SAS, Excel and many more. MicrOsiris has the ability to write and also read data sets from enormous and detailed store of survey data that is usually available in the original format in OSIRIS format from high level of education like universities performing Social and political Research. MicrOsiris offers a decision tree for Statistics that is essential in helping select statistical techniques and statistics required and convenient for the conditions…
• Menu driven packages
• Command driven packages
• Getting data
Ploticus
Ploticus is an open source free (GPL) software utility that is used to produce different types of plots, graphs and charts from data. The data that is converted to the plots, charts and graphs uses an input form of either text files or csv files. Ploticus produces output in form of PNG, GIF, SVG and PostScript. In some cases Ploticus also supports HTML imagemaps. Ploticus provides users with different types of plots. The first type of plots is the just-in-time plots produced in the dynamic web content systems. The second type of plots Ploticus provides to users is the batch…
• Scaling and axes, the preliminaries to plotting data
•Line plots are used to show values that change from left to right
•Category line plots display individual lineplot
•Range Sweeps may be used to depict ranges
•Bar Graphs (histograms) may be used to show comparisons
•Bar proportions Use proc bars with the stackfields option
• Free
• Scaling and axes, the preliminaries to plotting data
•Line plots are used to show values that change from left to right
•Category line plots display individual lineplot
NCAR Command Language
The NCAR Command Language is an open and free language configured uniquely for visualization and data processing. The graphics of the NCAR Command Language are highly customizable and comes in a binary or source code format. The NCAR Command Language features useful command line tools for the user to be able to get the processed data. The first software is the ncl_filedump that prints the content of supported files such as CCM History Tape. The second software is the ncl_convert2nc and the third software is the WRAPIT that allows users to wrap Fortran applications. The NCAR Command Language graphics run…
• Manipulation of metadata
• Configuration of visualization
• Conditional statements
• Loops
• Operators
• Expressions
• Import of data from a variety of data formats
• Free
• Manipulation of metadata
• Configuration of visualization
• Conditional statements
Perl Data Language
Perl Data Language is a complete suite of free software array programming extensions that provides the standard Perl with abilities to quickly manipulate and store the large N-dimensional data arrays that are based on the foundation of scientific computing. Perl Data Language enables users of MATLAB and Scilab to understand how to use PDL from their own point of view. Perl Data Language first features the Quickstart feature that provides knowledge to users who have no prior knowledge of PDL or Perl Data Language. PDL uses concepts of “slicing” and “indexing” as the core of numerical analysis they perform, therefore…
•Low-level and a high-level interface
•Various plots using the high-level, object-oriented interface
•Number of basic plots, I will explain how to plot multiple data sets
•Drawing canvas for plotting, how to create histograms
•Annotate your plots with text
• Free
•Low-level and a high-level interface
•Various plots using the high-level, object-oriented interface
•Number of basic plots, I will explain how to plot multiple data sets
Yorick
Yorick is a programming language that is interpreted used in solving technical computational and computational computing. Yorick provides users with a graphical interface and a file package in binary form that is able in translating to and from the numeric formats of all modern devices. The Yorick software runs on most operating systems and is written in ANSI C. Yorick is configured with a syntax in compact form that is like C instead it also contains the operators in array form. The C libraries use dynamic linking present in Yorick makes it to be expanded easily allowing arbitrary dimension to…
• Yorick interface definitions for Drat transport equation solver.
• Yorick interface definitions for hex transport equation solver.
• Detect and map bowties in 2D mesh
• Movie of a chaotic pendulum
• Analog signal processing
• Free
EasyReg
EasyReg is an open source software that conducts several testing tasks and econometric estimation on all Windows platforms that use 32 and 64 bit form and also the Windows 7. Users using Windows 8 are also able to use EasyReg by only setting EasyReg compatibility mode to Windows XP. EasyReg is programmed to be able to work in Visual Basic 5 and also Visual Basic 5 Enterprise Edition. EasyReg is configured to be used in teaching econometrics and empirical research. The software is referred to as international because it is able to accept commas and dots as delimiters in decimal…
•Tabulating data.
•Calculating summary statistics of the data: sample mean and standard error, minimum, maximum
•Plotting time series.
•Drawing scatter diagrams.
•Kernel estimation of univariate and bivariate density functions (two versions: standard kernel density estimation, and •Bierens' SMINK estimation).
•Auto- and cross-correlation functions for time series. In the autocorrelation case also the Box-Pierce Q statistics, •Ljung-Box Q statistics, and the partial autocorrelations can be computed.
•Periodogram of a time series
• Free
•Tabulating data.
•Calculating summary statistics of the data: sample mean and standard error, minimum, maximum
•Plotting time series.
IVEware
IVEware is an imputation and variance software developed by researchers. IVEware can be used with SPSS, STATA, SAS and R packages or also as a standalone in Linux, Windows or Mac OS. IVEware features six modules that are used by users to perform imputation and variance of data. The six modules include Combine, Regress, Sasmod, Impute, Describe and Synthesize. The first module in the IVEware software Impute uses a multivariate imputation and sequential regression approach that enables users multiply imputing item and missing values in a data set. The Describe module provides users with a good platform to estimate the…
•IMPUTE uses a sequential regression multivariate imputation (SRMI)
•DESCRIBE estimates the population means, proportions, subgroup differences
•REGRESS fits linear, logistic, polytomous, Poisson, Tobit
•SASMOD allows users to analyze data with several SAS procedures.
•SYNTHESIZE uses the SRMI approach to create full or partial synthetic data
•COMBINE is useful for combining information
• Free
•IMPUTE uses a sequential regression multivariate imputation (SRMI)
•DESCRIBE estimates the population means, proportions, subgroup differences
•REGRESS fits linear, logistic, polytomous, Poisson, Tobit
ViSta
viSta is the visual statistics system which features statistical visualizations that are very interactive and highly active. Vista constructs very high interaction, dynamic graphics that show you multiple views of your data simultaneously. The graphics are designed to augment your visual intuition so that you can better understand your data. Vista also clarifies the meaning of data so that you are able to see and understand what your data have to say due to its visually intuitive and computationally intensive approach to statistical data analysis. Vista has a structured graphical interface which include; SpreadPlots - a spreadsheet-like arrangement of linked,…
• Dynamic, High-Interaction, Multi-View Graphics
• Visually intuitive and computationally intensive
• Interactive graphs
• Guidemaps
• Free
•WorkMaps that visually summarize your data analysis session
•SpreadPlots - a spreadsheet-like arrangement of linked
•GuideMaps that guide your analysis
StatCVS
StatCVS is a tool which retrieves information from a CVS repository and then generates various tables and charts which describe the project development. Some of the project development that is described by the start CVS is; Timeline for the lines of code, Lines of code for each developer , Activity by Clock time , Authors Activity , Author activity per Module , Author Most Recent Commits with links to ViewVc, Stats per directory , File count , Average file size , Largest files. Files with most revisions , Directory Sizes , Repository Tags Number of LOC per ver, Repository tree…
• Timeline for the lines of code
• Lines of code for each developer
• Activity by Clock time
• Authors Activity
• Author activity per Module
• Author Most Recent Commits with links to ViewVc
• Stats per directory
• File count
• Average file size
• Free
• Timeline for the lines of code
• Lines of code for each developer
• Activity by Clock time
WinBUGS
The BUGS (Bayesian inference Using Gibbs Sampling) project is concerned with flexible software for the Bayesian analysis of complex statistical models using Markov chain Monte Carlo (MCMC) methods. WinBugs is partially a part of BUGS project which aims in making practical MCMC methods available to applied statisticians. This tool can use either a standard point and click windows interface which can be used for controlling the analysis or either construct the model using a graphical interface called DoodleBUGS. Normally WinBUGS is a stand-alone program, although it can be called from other software. In the past users were frequently required to…
• GeoBUGS 1.2 for spatial analysis
• PKBUGS for pharmacokinetic modelling
• A new test version for Reversible Jump MCMC.
• Suites of S-plus/R functions for convergence diagnostics, suitable for use with any version of BUGS.
• WinBUGS can be remotely called from a variety of packages (although note that one can now run BUGS from within R using BRugs).
• Free
• GeoBUGS 1.2 for spatial analysis
• PKBUGS for pharmacokinetic modelling
• A new test version for Reversible Jump MCMC.
JAGS
Jags is considered as another type of Gibbs sampler, this program enables the user to obtain an analysis of Bayesian hierarchical models using Markov chain Monte Carlo simulation. Unlike BUGS, JAGS was written mainly with three main motives: To have a cross-platform engine for the BUGS language also it was created To be extensible, allowing users to write their own functions, distributions, and samplers. Lastly JAGS was created To be a platform for experimentation with ideas in Bayesian modeling. JAGS licensing is based under the general public license version 2 which allows the members to freely redistribute and modify this…
• Cross-platform engine for the BUGS language
• Extensible, allowing users to write their own functions, distributions, and samplers.
• Platform for experimentation with ideas in Bayesian modeling
• Free
• Cross-platform engine for the BUGS language
• Extensible, allowing users to write their own functions, distributions, and samplers.
• Platform for experimentation with ideas in Bayesian modeling
WINPEPI
Winpepi is a tool used in descriptive epidemiology including the appraisal of separate samples in comparative studies. .According to the late professor Joe Abrahamson, the first version of these programs for epidemiologists composed in collaboration with Eric Peritz programs for health sciences, 1983. This PEPI programs collection improved with time thus grew continuously and then later on it popularly became known as Winpepi due to its windows versions. Winpepi is available in various programs such as COMPARE2.EXE - For comparisons of two independent groups or samples. The current version number is 3.85. DESCRIBE.EXE - For use in descriptive epidemiology including…
• Calculator
• C-index
• Case base study
ADMB
AD Model Builder, or ADMB, is a statistical application that implements AD using C++ classes and a native template language. The ADMB project usually supports the application of automatic differentiation which further gives solutions to nonlinear statistical modeling and optimization problems. In short, Automatic Differentiation Model Builder (ADMB) is a programming framework based on automatic differentiation, aimed at highly nonlinear models with a large number of parameters. ADMB is released in three different forms’ ADMB-IDE is an easy and efficient interface which normally bundles ADMB with C++ compiler and dedicated ADMB editor. Also, there is the source distribution to build…
• ADMB-IDE
•Automatic differentiation (AD) for solutions
•Non-linear statistical modeling and optimization problems.
• Free
• ADMB-IDE
•Automatic differentiation (AD) for solutions
•Non-linear statistical modeling and optimization problems.
ADMB What are Statistical Software? Statistical software are programs which are used for the statistical analysis of the collection, organization, analysis, interpretation and presentation of data.Statistical Analysis is the science of collecting, exploring and presenting large amounts of data to discover underlying patterns and trends and these are applied every day in research, industry and government to become more scientific about decisions that need to be made. Statistical Software helps in analysis of data. What are the Top Free Statistical Software? SAS University Edition, GNU PSPP, Statistical Lab, Develve, Shogun, DataMelt, GNU Octave, SOFA Statistics, Dataplot, SciPy, Zelig, Scilab, Gretl, OpenStat, Past, MacAnova, MaxStat Lite version, SageMath, Epi Info, NIMBLE, Arc, ADaMSoft, CumFreq, OpenMx, Salstat, Statcato, Stan, IDAMS, OpenEpi, BV4.1, pbdR, GNU Data Language, Dap, Simfit, First Bayes, MicrOsiris, Ploticus, NCAR Command Language, Perl Data Language, Yorick, EasyReg, IVEware, ViSta, StatCVS, WinBUGS, JAGS, WINPEPI, ADMB are some of the top free statistical analysis software. What are features of Statistical Software? The features of Statistical Software includes analysis of variance, bayesian analysis, regression analysis, reporting/analytics, statistical process control, survey sampling and analysis and visualization.
You may also like to read, Top Statistical Software , Top Statistical Freeware Software
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PAST is missing on this list. It is one of the best statistical programs, very user friendly and permorms many tests and analyses.
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StatCato is another free java-based general purpose statistics program.
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Don’t forget JASP !
jasp-stats.org
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A good list. It would be even better if there is an indication about whether an application is in active development or not.
A nitpick: the link of No 30 ViSta took me to a page in Univ. of British Columbia (Vista with the small letter ‘s’). The description under No 30 appears to be meant for No 27.
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Dear,
Did anyone hear about a statistical software called easy-stat?
and about its reliability..
Thanks for responding,
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You may also have a look at the Data Explorer , which allows data mining operations and statistical analyses
with an easy drag and drop interface : github.com/jfbouzereau/explorer/blob/master/README.md
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How about BrightStat.com Statistical analysis and data visualization on every device. Basic account is for free… secure.brightstat.com
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The XLSTAT statistical software for Excel just released a free version: xlstat.com/en/news/introducing-the-xlstat-free-edition
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Hey thanks for this awesome list. It solved my problem
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DON’T OVERLOOK jamovi.org/
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Please also have a look at my statistics app as well: medicalstat.org
It is an online app within the field of Medical Statistics.
Thank you.
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BlueSky Statistics is free, open source, and more powerful than most. To see how it compares to some others, see: r4stats.com/articles/software-reviews/r-gui-comparison/.
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It will always depend on each use and each user, but I agree with others that at least JASP and jamovi should be in the list. And why not rlplot, which I find great for introducing statistics to students?