[Ieee_vis] New release of the Topology ToolKit - Now available on Windows

[Julien Tierny]

Dear colleagues,

(sorry for cross-posting) 

We are happy to announce a new release of the Topology ToolKit (TTK), an 
open-source library and software collection for topological data analysis and 
visualization:
https://topology-tool-kit.github.io/

With this new release, TTK is now available on Windows, in addition to Linux 
and MacOs. See our installation instructions:

* Windows:
https://topology-tool-kit.github.io/installation-windows.html

* MacOs:
https://topology-tool-kit.github.io/installation-osx.html

* Linux:
https://topology-tool-kit.github.io/installation.html

Here is a selection of the new features that have been added since TTK's 
initial release (April 2017):
- Windows support
- New CMake structure
- Greatly accelerated merge tree features using task-based Fibonacci heaps
- Bottleneck and Wasserstein distances between persistence diagrams
- Simple python, vtk-c++ and c++ examples 
- Improved performances for the core triangulation data structure
- OFF reader/writer
- and more!

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 to see visualizations we obtained with TTK:
https://topology-tool-kit.github.io/gallery.html

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 formats.
* Check out our video tutorials to see TTK in action:
https://topology-tool-kit.github.io/tutorials.html

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 to extend. 
We have specifically developed it such that you can easily write your own data 
analysis tools as TTK modules.
* Check out our developer documentation:
https://topology-tool-kit.github.io/documentation.html

TTK is open-source (BSD license). You can use it at your convenience, for 
open-source or proprietary projects. You are also welcome to contribute.
* Check out our contribution page:
https://topology-tool-kit.github.io/contribute.html

If you have questions, need support regarding the usage of TTK, or just want 
to provide feedback, thanks for sending us an email at 
topology.tool.kit at gmail.com

We hope you'll enjoy TTK!
-- 
Dr Julien Tierny
CNRS Researcher
Sorbonne Universite
http://lip6.fr/Julien.Tierny