Discover Linux Softwares to Automatic data loading.
Ability to load data from various file formats programmatically.
RKWard is a comprehensive and user-friendly graphical user interface (GUI) for the powerful R statistical programming language. It aims to bridge the gap between raw R code and intuitive statistical analysis, making it accessible to a wider audience.
IBM SPSS Statistics is a leading statistical software platform used for solving research and business problems through analysis.
SOFA Statistics is a user-friendly, open-source statistical package designed for researchers, analysts, and students to easily perform statistical analysis and generate reports without requiring extensive coding knowledge.
DataCracker is a web-based platform designed for comprehensive survey data analysis. It empowers users to effortlessly transform raw survey responses into actionable insights through intuitive tools for visualization, statistical analysis, and reporting. Ideal for market researchers, academics, and businesses seeking to understand their data better.
Bipio was a Node.js-based web automation framework enabling users to create 'bips' - automation workflows connecting various web services for tasks like file synchronization, API integration, and data processing. It offered customizable triggers, actions, and integrations to automate complex online activities.
Scilab is an open-source, cross-platform software for numerical computation, offering a high-level, numerically oriented programming language and large collection of functionalities. It is widely used in scientific and engineering applications.
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.
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.
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.