GRASS GIS
GRASS GIS (Geographic Resources Analysis Support System) is a free and open-source Geographic Information System (GIS) software suite utilized for geospatial data management and analysis, image processing, graphics and map production, spatial modeling, and visualization. It supports raster, vector, and geospatial processing, enabling advanced modeling, data management, imagery processing, and time series analysis with a Python API, optimized for large-scale analysis. GRASS GIS is compatible with multiple operating systems, including OS X, Windows, and Linux, and can be accessed through a graphical user interface or integrated with other software such as QGIS. The software includes over 350 modules for rendering maps and images, manipulating raster and vector data, processing multispectral image data, and creating, managing, and storing spatial data. GRASS GIS is widely used in academic and commercial settings, as well as by governmental agencies.
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Autoplot
Autoplot is a native macOS workspace that unifies scientific data import, analysis, plotting, annotation, and publishing without the usual copy-and-paste cycle between chatbots, terminals, and image editors. Users can import local files or SFTP data, define delimiters, headers, and encoding, merge files into one project, and apply assistant-written Python locally for filtering, splicing, or derived variables. Pre-vetted analysis cards cover CCDF, AUC, log-binned distributions, power-law and truncated fits, Xmin diagnostics, finite-size scaling, scaling relations, correlation matrices, and correlation networks, while custom statistics can be generated and run through the built-in Python environment. Results remain reusable, so they can be replotted, refitted, layered, composed, or exported without rebuilding the workflow. Autoplot supports X&Y plots, histograms, heat maps, categorical charts, 3D scatter, surface, and line plots, plus unlimited overlays, fits, and contours.
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CubeVue
CurveBeam AI's CubeVue software provides powerful visualization tools to enhance dataset analysis, giving you intuitive interpretation and treatment planning tools at your fingertips. Basic visualization tools include zoom, pan, and window level adjustments; distance and angle measurements; case workup saving; side-by-side study comparisons; and the ability to create DICOM or JPEG images from any window, including 3D. Advanced visualization tools encompass dynamic 3D renderings, multiplanar reconstruction views, and SimX views. Dynamic 3D renderings allow free rotation to visualize the volume from any angle, peeling away or building on skin for clinical assessment, and scrolling through the volume slice by slice. MPR views enable the rotation of planes to create custom reformats on the fly, synchronized navigation of coronal, axial, and sagittal slices, and adjustment of slice thickness to create custom slabs. SimX views generate digitally reconstructed radiographs from CT data.
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imageio
Imageio is a Python library that provides an easy interface to read and write a wide range of image data, including animated images, volumetric data, and scientific formats. It is cross-platform, runs on Python 3.5+, and is easy to install. Imageio is written in pure Python, so installation is easy. Imageio works on Python 3.5+. It also works on Pypy. Imageio depends on Numpy and Pillow. For some formats, imageio needs additional libraries/executables (e.g. ffmpeg), which imageio helps you to download/install. If something doesn’t work as it should, you need to know where to search for causes. The overview on this page aims to help you in this regard by giving you an idea of how things work, and - hence - where things may go sideways.
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