QIT is a software package of computational tools for the modeling, analysis, and visualization of scientific imaging data.įSL is a comprehensive library of analysis tools for FMRI, MRI and DTI brain imaging data. OpenCV is an open-source BSD-licensed library that includes several hundreds of computer vision algorithms.ĪFNI (Analysis of Functional NeuroImages) is a software suite of C, Python, R programs and shell scripts primarily developed for the analysis and display of multiple MRI modalities.
ImageJ is a scriptable image processing program, bundling a lot of plugins that facilitate scientific image analysis. KNIME integrates various components for machine learning and data mining through its modular data pipelining concept. KNIME is a free and open-source data analytics, reporting and integration platform. In addition to the preinstalled software, researchers may request installation of the following approved software packages for their Virtual Machine. JupyterLab is the next-generation user interface for Project Jupyter offering all the familiar building blocks of the classic Jupyter Notebook (notebook, terminal, text editor, file browser, rich outputs, etc.) in a flexible and powerful user interface. JupyterHub is multi-user, multi-notebook server for Jupyter Notebooks. LibreOffice is a free and open-source office suite, a project of The Document Foundation.įastX enables users to start an X11 desktop environment on a remote system. Rodeo is a Native Python IDE for Data Science.Ī text editor characterized by its extensibility. Perl is Larry Wall's Practical Extraction and Report Language.Ītom is a free and open-source text and source code editor.
RStudio Server enables you to provide a browser based interface to a version of R running on a remote Linux server. RStudio is an integrated development environment for R, with a console, syntax-highlighting editor that supports direct code execution, and tools for plotting, history, debugging and workspace management.
R is a free software environment for statistical computing and graphics. The open-source Anaconda Distribution is the easiest way to perform Python/R data science and machine learning on Linux, Windows, and Mac OS X.
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