|· New TTK release! Checkout the ChangeLog.||[Jul. 30, 2018]|
|· TTK will be presented in an invited session at ACM SIGGRAPH 2018.||[Jul. 30, 2018]|
|· New TTK release! Checkout the ChangeLog.||[Jun. 5, 2017]|
|· TTK will be presented in a tutorial at IEEE VIS 2018!||[May 30, 2018]|
|· TTK is now supported under Windows thanks to Caboma Inc.! (installation).||[Dec. 28, 2017]|
|· New TTK release! Checkout the ChangeLog.||[Nov. 4, 2017]|
The Topology ToolKit (TTK) is an open-source library and software collection for topological data analysis in scientific visualization.
TTK can handle scalar data defined either on regular grids or
triangulations, either in 2D or in 3D. It provides a substantial collection of
generic, efficient and robust implementations of key algorithms in
topological data analysis. It includes:
· For scalar data: critical points, integral lines, persistence diagrams, persistence curves, merge trees, contour trees, Morse-Smale complexes, topological simplification;
· For bivariate scalar data: fibers, fiber surfaces, continuous scatterplots, Jacobi sets, Reeb spaces;
· For uncertain scalar data: mandatory critical points;
· and more!
If you need to robustly analyze your acquired or simulated scientific data, you may want to use TTK.
> Check out our gallery page for some TTK eye candy!
TTK makes topological data analysis accessible to end users
thanks to easy-to-use plugins for the visualization front end
ParaView. Thanks to ParaView, TTK supports a variety of input data
> Check out our video tutorials to see TTK in action!
TTK is written in C++ but comes with a variety of bindings
(VTK/C++, Python) and standalone command-line programs. It is modular and easy
We have specifically developed it such that you can easily write your own data
analysis tools as TTK modules.
> Check out our developer documentation
TTK is open-source (BSD license). You can use it at your
convenience, for open-source or proprietary projects. You are also welcome to
> Check out our contribution page