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Inviwo is a software framework for rapid visualization prototyping.

Package releases and information is available at www.inviwo.org

Below follow some general information about the framework:

• Freely available under the Simplified BSD License.
• Cross-platform and runs on Windows, Linux and Mac OS X.
• Easily extendable through inclusion of external modules and projects.

• The core is written in C/C++ only, with minor dependencies.

• Modern graphics programming through OpenGL (>= 3.3 Core) related modules.
• Parallel computing on multiple platforms (GPU/CPU) through OpenCL (>= 1.0) related modules.
• Python (>= 3.9) scripting and computation is supported through provided modules.

• The primary GUI is based on Qt (>= 6).
• A minimal application is available, utilizing GLFW 3 for multiple window and context management.

• The project and module configuration/generation is performed through CMake (>= 3.16.0).
• Inviwo has been compiled in Visual Studio 2022, Clang 14, GCC 11, XCode 14
• C++20 Required

• Manual
• API
• Changelog

For help and general discussion join us on our Slack server

There are a large number of modules developed and maintained in other repositories. These can be added through the CMake option IVW_EXTERNAL_MODULES, see Inviwo modules for more details. The following modules add a variety of functionalities to Inviwo. Please refer to the respective repository for possible issues related to them.

• Dicom reader Adds support for reading DICOM image/volume files (.dcm file ending)
• Molecular visualization Adds support for molecular data structures along with reading PDB and mmCIF files. Molecules are rendered in van-der-Waals, Licorice, and Ball and Stick representations.
• Tensor visualization Adds support for reading/writing tensor fields. Includes algorithms such as HyperLIC and Anisotropy raycasting.
• Topology visualization Integrates the Topology Toolkit into Inviwo. Includes algorithms for critical points, integral lines, persistence diagrams, persistence curves, merge trees, contour trees, Reeb graphs, Morse-Smale complexes, topological simplification, topology-aware compression, harmonic design, fiber surfaces, continuous scatterplots, Jacobi sets, Reeb spaces, bottleneck and Wasserstein distances between persistence diagrams etc.
• Clustering Cluster rows of a DataFrame. Supported clustering methods are k-means, DBSCAN, agglomerative, and spectral clustering
• Vector Graphics Integrates NanoVG, which is a small antialiased vector graphics rendering library for OpenGL.
• NetCDF Adds support for reading NetCDF files
• OpenMesh Integrats the OpenMesh library, which is a data structure for polygonal meshes. Includes for example mesh decimation and vertex normal generation.
• Spring-mass system Simulation of spring-mass system.
• Visualization Toolkit Integrates support for VTK, which has algorithms for surface reconstruction, implicit modeling, decimation and much more.
• Photon mapping Volume illumination algorithm for time-varying heterogenous media.
• Temporal Tree Maps Temporal treemaps for visualizing trees whose topology and data change over time.
• Developer tools Log inviwo events, useful for debugging interaction.

• Visual Neuro A visual analysis tool understanding cohorts of brain imaging and clinical data. Also includes algorithms for statistical computation.
• ENVISIoN Visualization of electronic structure quantities from ab-initio calculations.

Is your repository missing above? Just add it and make a pull request!

This work is supported by Linköping University, Ulm University, and KTH Royal Institute of Technology as well as grants from the Swedish e-Science Research Centre (SeRC), the Excellence Center at Linköping - Lund in Information Technology (ELLIIT), the Swedish Research Council (Vetenskapsrådet), DFG (German Research Foundation), and the BMBF.