Top Alternatives to GMDH Shell

MATLAB is a comprehensive platform for numerical computing, visualization, and programming. It provides a powerful environment for algorithm development, data analysis, simulation, and model development across various disciplines.

GNU Octave is a high-level programming language primarily intended for numerical computations. It provides a convenient command-line interface for solving linear and nonlinear problems numerically, and for performing other numerical experiments.

R is a powerful open-source language and environment for statistical computing, graphics, and data analysis. Widely used by statisticians and data miners for developing statistical software and data analysis.

Mathematica is a comprehensive software suite for technical computing, widely used in scientific, engineering, and mathematical fields for its powerful symbolic and numerical computation capabilities.

SageMath is a free open-source mathematics software system that provides a comprehensive environment for symbolic and numerical computation, algebra, calculus, and more. It integrates various existing mathematics software packages into a common Python-based interface.

Maple is a powerful mathematical computing environment and multi-paradigm programming language designed for engineers, scientists, educators, and students. It provides a comprehensive suite of tools for symbolic and numeric computation, data analysis, visualization, and application development across numerous domains.

PSPP is a free and open-source statistical analysis program, designed as a substitute for IBM SPSS Statistics. It supports a wide range of statistical analyses and data manipulation capabilities.

Talend provides a comprehensive suite of open-source and commercial data integration and data management solutions. It empowers organizations to connect, transform, and manage data from diverse sources, enabling better decision-making and driving business growth.

Pentaho is a comprehensive open-source platform for data integration and business analytics. It empowers organizations to extract, transform, and load data from various sources, build insightful reports and dashboards, and perform advanced analytics for informed decision-making.

GridGain In-Memory Data Fabric is a comprehensive in-memory computing platform designed for high-performance, low-latency applications. It acts as a data and compute layer between applications and traditional databases, accelerating access and processing of vast amounts of data for real-time analytics, transactional workloads, and streaming data.

RapidMiner is an end-to-end data science platform that streamlines machine learning workflows from data preparation to model deployment, empowering users to unlock insights and build predictive models without extensive coding.

KNIME (Konstanz Information Miner) is a leading open-source platform for data science. It provides a visual workflow interface that enables users to build, train, and deploy machine learning models and data pipelines without requiring extensive coding expertise.

Orange is an open-source, visual programming platform for interactive data analysis and machine learning. It offers a comprehensive suite of tools for data mining, data visualization, predictive modeling, and text analytics through a user-friendly interface.

IBM SPSS Statistics is a leading statistical software platform used for solving research and business problems through analysis.

WEKA is a comprehensive collection of machine learning algorithms and data preprocessing tools designed for data mining tasks. It provides a user-friendly interface for exploring data, building predictive models, and evaluating their performance.

Neural Designer is an advanced analytics software platform designed for building and deploying neural network models to solve complex data analysis and predictive modeling tasks. It enables users to extract valuable insights from large datasets, perform forecasting, and make data-driven decisions.