RATH
RATH is beyond an open-source alternative to Data Analysis and Visualization tools such as Tableau. It automates your Exploratory Data Analysis workflow with an Augmented Analytic engine and auto generate multi-dimensional data visualization.
Features:
🤖 Mega-auto exploration: Augmented analytic engine for discovering patterns, insights, and causals. A fully-automated way to explore and visualize datasets with one click.
👓 Data Wrangler: Automated data wrangler for generating a summary of the data and data transformation.
🛠 Semi-auto exploration: Never get lost again in Data Exploration. RATH progressively recommends your directions for Data Exploration.
🎨 Data painter: Having complex visual patterns that are difficult to grasp? Use Data Painter to instantly identify and get automatic explanations.
📊 Dashboard: build a beautiful interactive data dashboard
🚧 Causal Analysis: Provide causal discovery and explanations for complex relation analysis.
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Rapidminer
Rapidminer is an enterprise AI and analytics solution from Siemens that helps organizations unify data preparation, machine learning, knowledge graphs, generative AI, and agentic AI. It connects siloed data with business context so companies can build, govern, and scale trusted AI solutions. The platform helps organizations uncover hidden insights, modernize existing systems, and automate analytics workflows. Rapidminer can activate dark data from reports and PDFs, support existing SAS language code, and resolve complex questions through unified knowledge graphs. It also provides visual drag-and-drop tools for explainable AI, AutoML, self-service data preparation, and real-time data visualization. With capabilities for AI agents, semantic data modeling, and enterprise automation, Rapidminer helps businesses turn complex data into strategic decisions.
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JMP Statistical Software
JMP, data analysis software for Mac and Windows, combines the strength of interactive visualization with powerful statistics.
Importing and processing data is easy. The drag-and-drop interface, dynamically linked graphs, libraries of advanced analytic functionality, scripting language and ways of sharing findings with others, allows users to dig deeply into their data, with greater ease and speed.
Originally developed in the 1980’s to capture the new value in GUI for personal computers, JMP remains dedicated to adding cutting-edge statistical methods and special analysis techniques from a variety of industries to the software’s functionality with each release. The organization's founder, John Sall, still serves as Chief Architect.
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DataMelt
DataMelt (or "DMelt") is an environment for numeric computation, data analysis, data mining, computational statistics, and data visualization. DataMelt can be used to plot functions and data in 2D and 3D, perform statistical tests, data mining, numeric computations, function minimization, linear algebra, solving systems of linear and differential equations. Linear, non-linear and symbolic regression are also available. Neural networks and various data-manipulation methods are integrated using Java API. Elements of symbolic computations using Octave/Matlab scripting are supported.
DataMelt is a computational environment for Java platform. It can be used with different programming languages on different operating systems. Unlike other statistical programs, it is not limited to a single programming language. This software combines the world's most-popular enterprise language, Java, with the most popular scripting language used in data science, such as Jython (Python), Groovy, JRuby.
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