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12 apps in "Math and Science"

ArcGIS is a comprehensive geographic information system (GIS) platform from Esri that enables organizations to create, manage, analyze, and share maps, spatial data, and location-based insights to make informed decisions and improve operations. It encompasses a scalable suite of desktop, web, and mobile applications, as well as cloud-based solutions, that support a wide range of capabilities, from asset management and urban planning to public safety and environmental analysis. Please note this is the centralized offering of ArcGIS that is available to the community at large.

Biolucida Viewer

MBF Bioscience

Biolucida Viewer is a desktop client from MBF Bioscience for viewing and navigating large multi-dimensional microscopy images stored on a Biolucida server. It supports zooming, panning, and annotation of whole-slide and 3D image datasets.

LabView

Nation Instruments

Boston University offers faculty and staff on the main campus access to a LabVIEW teaching and research site license. LabVIEW is a graphical development environment. Through virtual instruments one can acquire, analyze, display, and store data as well as troubleshoot code. It is particularly useful to engineers, scientists, and technical professionals.

Maple

Waterloo Maple Inc.

Maple is a mathematical tool that lets you explore and visualize mathematical concepts, develop technical applications, and share information with the Web, Microsoft® Excel, MATLAB® and your programs.

Wolfram Mathematica is a powerful computational software system used for symbolic and numerical calculations, data visualization, and algorithm development. It integrates a vast range of mathematical functions with a flexible programming language, making it ideal for researchers, engineers, and analysts across disciplines. Known for its notebook interface and built-in knowledge base, Mathematica enables users to perform complex computations, create interactive models, and automate workflows with ease.

MATLAB

MathWorks

MATLAB combines a desktop environment tuned for iterative analysis and design processes with a programming language that expresses matrix and array mathematics directly. It includes the Live Editor for creating scripts that combine code, output, and formatted text in an executable notebook.

Python

Python Software Foundation

Python is a free, open-source, general-purpose programming language with a large standard library and an extensive package ecosystem. It is widely used for data analysis, scientific computing, automation, machine learning, and web development.

QGIS

QGIS Project

QGIS is a free, open-source geographic information system for creating, editing, visualizing, and analyzing spatial data. It supports common vector and raster formats, spatial databases, and web mapping services, and is extensible through a large plugin ecosystem.

R 4.5.1

R Project

R is a language and environment for statistical computing and graphics. R provides a wide variety of statistical and graphical techniques and is highly extensible. Example analysis that can be done with R include linear and nonlinear modeling, classical statistical tests, time-series analysis, classification, and clustering.

The IBM® SPSS® software platform provides advanced statistical analysis, a comprehensive library of machine learning algorithms, text analysis capabilities, open-source extensibility, integration with big data, and seamless deployment into applications. Its user-friendly interface, flexibility, and scalability make it accessible to individuals of all skill levels enabling users to uncover new opportunities, enhance efficiency, and reduce risk.

Stata delivers everything you need for reproducible data analysis—powerful statistics, visualization, data manipulation, and automated reporting—all in one intuitive platform

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