The GUDHI library is a generic open source C++ library, with a Python interface, for Topological Data Analysis (TDA) and Higher Dimensional Geometry Understanding.
MIT License
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Published by VincentRouvreau almost 3 years ago
We are pleased to announce the release 3.5.0 of the GUDHI library.
As a major new feature, the GUDHI library now offers Coxeter triangulations and points generators.
The support for python 3.10 is available.
We are now using GitHub to develop the GUDHI library, do not hesitate to fork the GUDHI project on GitHub. From a user point of view, we recommend to download GUDHI user version (gudhi.3.X.X.tar.gz).
Below is a list of changes made since GUDHI 3.4.1:
points
enables the generation of points on a sphere or a flat torus.Miscellaneous
All modules are distributed under the terms of the MIT license.
However, there are still GPL dependencies for many modules. We invite you to check our license dedicated web page for further details.
We kindly ask users to cite the GUDHI library as appropriately as possible in their papers, and to mention the use of the GUDHI library on the web pages of their projects using GUDHI and provide us with links to these web pages.
We provide bibtex entries for the modules of the User and Reference Manual, as well as for publications directly related to the GUDHI library.
Feel free to contact us in case you have any questions or remarks.
For further information about downloading and installing the library (C++ or Python), please visit the GUDHI web site.
Published by VincentRouvreau over 3 years ago
We are pleased to announce the release 3.4.1.post2 of the GUDHI library.
This minor post-release is a bug fix version to install CGAL for GUDHI windows pip package.
We are now using GitHub to develop the GUDHI library, do not hesitate to fork the GUDHI project on GitHub. From a user point of view, we recommend to download GUDHI user version (gudhi.3.X.X.tar.gz).
The list of bugs that were solved is available on GitHub.
All modules are distributed under the terms of the MIT license.
However, there are still GPL dependencies for many modules. We invite you to check our license dedicated web page for further details.
We kindly ask users to cite the GUDHI library as appropriately as possible in their papers, and to mention the use of the GUDHI library on the web pages of their projects using GUDHI and provide us with links to these web pages.
We provide bibtex entries for the modules of the User and Reference Manual, as well as for publications directly related to the GUDHI library.
Feel free to contact us in case you have any questions or remarks.
Published by VincentRouvreau over 3 years ago
We are pleased to announce the release 3.4.1 of the GUDHI library.
This minor release is a bug fix version to make GUDHI compile with CGAL 5.2.
We are now using GitHub to develop the GUDHI library, do not hesitate to fork the GUDHI project on GitHub. From a user point of view, we recommend to download GUDHI user version (gudhi.3.X.X.tar.gz).
The list of bugs that were solved since GUDHI-3.4.0 is available on GitHub.
All modules are distributed under the terms of the MIT license.
However, there are still GPL dependencies for many modules. We invite you to check our license dedicated web page for further details.
We kindly ask users to cite the GUDHI library as appropriately as possible in their papers, and to mention the use of the GUDHI library on the web pages of their projects using GUDHI and provide us with links to these web pages.
We provide bibtex entries for the modules of the User and Reference Manual, as well as for publications directly related to the GUDHI library.
Feel free to contact us in case you have any questions or remarks.
For further information about downloading and installing the library (C++ or Python), please visit the GUDHI web site.
Published by VincentRouvreau over 3 years ago
We are pleased to announce the release 3.4.1 of the GUDHI library.
This minor release is a bug fix version to make GUDHI compile with CGAL 5.2.
We are now using GitHub to develop the GUDHI library, do not hesitate to fork the GUDHI project on GitHub. From a user point of view, we recommend to download GUDHI user version (gudhi.3.X.X.tar.gz).
The list of bugs that were solved since GUDHI-3.4.0 is available on GitHub.
All modules are distributed under the terms of the MIT license.
However, there are still GPL dependencies for many modules. We invite you to check our license dedicated web page for further details.
We kindly ask users to cite the GUDHI library as appropriately as possible in their papers, and to mention the use of the GUDHI library on the web pages of their projects using GUDHI and provide us with links to these web pages.
We provide bibtex entries for the modules of the User and Reference Manual, as well as for publications directly related to the GUDHI library.
Feel free to contact us in case you have any questions or remarks.
For further information about downloading and installing the library (C++ or Python), please visit the GUDHI web site.
Published by VincentRouvreau almost 4 years ago
We are pleased to announce the release 3.4.0 of the GUDHI library.
As a major new feature, the GUDHI library now offers dD weighted alpha complex, pip and conda packages for Python 3.9.
We are now using GitHub to develop the GUDHI library, do not hesitate to fork the GUDHI project on GitHub. From a user point of view, we recommend to download GUDHI user version (gudhi.3.4.0.tar.gz).
Below is a list of changes made since GUDHI 3.3.0:
choose_n_farthest_points()
now takes a distance function instead of a kernel as first argument, users can replace k
with k.squared_distance_d_object()
in each call in their code.Miscellaneous
All modules are distributed under the terms of the MIT license.
However, there are still GPL dependencies for many modules. We invite you to check our license dedicated web page for further details.
We kindly ask users to cite the GUDHI library as appropriately as possible in their papers, and to mention the use of the GUDHI library on the web pages of their projects using GUDHI and provide us with links to these web pages.
We provide bibtex entries for the modules of the User and Reference Manual, as well as for publications directly related to the GUDHI library.
Feel free to contact us in case you have any questions or remarks.
For further information about downloading and installing the library (C++ or Python), please visit the GUDHI web site.
Published by VincentRouvreau almost 4 years ago
We are pleased to announce the release 3.4.0 of the GUDHI library.
As a major new feature, the GUDHI library now offers dD weighted alpha complex, pip and conda packages for Python 3.9.
We are now using GitHub to develop the GUDHI library, do not hesitate to fork the GUDHI project on GitHub. From a user point of view, we recommend to download GUDHI user version (gudhi.3.4.0rc1.tar.gz).
Below is a list of changes made since GUDHI 3.3.0:
choose_n_farthest_points()
now takes a distance function instead of a kernel as first argument, users can replace k
with k.squared_distance_d_object()
in each call in their code.Miscellaneous
All modules are distributed under the terms of the MIT license.
However, there are still GPL dependencies for many modules. We invite you to check our license dedicated web page for further details.
We kindly ask users to cite the GUDHI library as appropriately as possible in their papers, and to mention the use of the GUDHI library on the web pages of their projects using GUDHI and provide us with links to these web pages.
We provide bibtex entries for the modules of the User and Reference Manual, as well as for publications directly related to the GUDHI library.
Feel free to contact us in case you have any questions or remarks.
For further information about downloading and installing the library (C++ or Python), please visit the GUDHI web site.
Published by VincentRouvreau about 4 years ago
We are pleased to announce the release 3.3.0 of the GUDHI library.
As a major new feature, the GUDHI library now offers a persistence-based clustering algorithm, weighted Rips complex using DTM
and edge collapse.
The GUDHI library is hosted on GitHub, do not hesitate to fork the GUDHI project on GitHub.
From a user point of view, we recommend to download GUDHI user version (gudhi.3.3.0.tar.gz).
Below is a list of changes made since GUDHI 3.2.0:
Alpha complex - Python interface improvements
Edge Collapse of a filtered flag complex
Persistence representations
Miscellaneous
All modules are distributed under the terms of the MIT license.
However, there are still GPL dependencies for many modules. We invite you to check our license dedicated web page for further details.
We kindly ask users to cite the GUDHI library as appropriately as possible in their papers, and to mention the use of the GUDHI library on the web pages of their projects using GUDHI and provide us with links to these web pages.
We provide bibtex entries for the modules of the User and Reference Manual, as well as for publications directly related to the GUDHI library.
Feel free to contact us in case you have any questions or remarks.
For further information about downloading and installing the library (C++ or Python), please visit the GUDHI web site.
Published by VincentRouvreau about 4 years ago
We are pleased to announce the release 3.3.0 of the GUDHI library.
As a major new feature, the GUDHI library now offers a persistence-based clustering algorithm, weighted Rips complex using DTM
and edge collapse.
The GUDHI library is hosted on GitHub, do not hesitate to fork the GUDHI project on GitHub.
From a user point of view, we recommend to download GUDHI user version (gudhi.3.3.0.tar.gz).
Below is a list of changes made since GUDHI 3.2.0:
Alpha complex - Python interface improvements
Edge Collapse of a filtered flag complex
Persistence representations
Miscellaneous
All modules are distributed under the terms of the MIT license.
However, there are still GPL dependencies for many modules. We invite you to check our license dedicated web page for further details.
We kindly ask users to cite the GUDHI library as appropriately as possible in their papers, and to mention the use of the GUDHI library on the web pages of their projects using GUDHI and provide us with links to these web pages.
We provide bibtex entries for the modules of the User and Reference Manual, as well as for publications directly related to the GUDHI library.
Feel free to contact us in case you have any questions or remarks.
For further information about downloading and installing the library (C++ or Python), please visit the GUDHI web site.
Published by VincentRouvreau about 4 years ago
We are pleased to announce the release 3.3.0 of the GUDHI library.
As a major new feature, the GUDHI library now offers a persistence-based clustering algorithm, weighted Rips complex using DTM
and edge collapse.
The GUDHI library is hosted on GitHub, do not hesitate to fork the GUDHI project on GitHub.
From a user point of view, we recommend to download GUDHI user version (gudhi.3.3.0.tar.gz).
Below is a list of changes made since GUDHI 3.2.0:
Alpha complex - Python interface improvements
Edge Collapse of a filtered flag complex
Persistence representations
Miscellaneous
All modules are distributed under the terms of the MIT license.
However, there are still GPL dependencies for many modules. We invite you to check our license dedicated web page for further details.
We kindly ask users to cite the GUDHI library as appropriately as possible in their papers, and to mention the use of the GUDHI library on the web pages of their projects using GUDHI and provide us with links to these web pages.
We provide bibtex entries for the modules of the User and Reference Manual, as well as for publications directly related to the GUDHI library.
Feel free to contact us in case you have any questions or remarks.
For further information about downloading and installing the library (C++ or Python), please visit the GUDHI web site.
Published by VincentRouvreau over 4 years ago
We are pleased to announce the release 3.2.0 of the GUDHI library.
As a major new feature, the GUDHI library now offers a Python interface to Hera to compute the Wasserstein distance.
PyBind11 is now required to build the Python module.
We are now using GitHub to develop the GUDHI library, do not hesitate to fork the GUDHI project on GitHub. From a user point of view, we recommend to download GUDHI user version (gudhi.3.2.0.tar.gz).
Below is a list of changes made since GUDHI 3.1.1:
Point cloud utilities
Rips complex
gudhi.wasserstein.wasserstein_distance
has now an option to return the optimal matching that achieves the distance between the two diagrams.Miscellaneous
All modules are distributed under the terms of the MIT license.
However, there are still GPL dependencies for many modules. We invite you to check our license dedicated web page for further details.
We kindly ask users to cite the GUDHI library as appropriately as possible in their papers, and to mention the use of the GUDHI library on the web pages of their projects using GUDHI and provide us with links to these web pages.
We provide bibtex entries for the modules of the User and Reference Manual, as well as for publications directly related to the GUDHI library.
Feel free to contact us in case you have any questions or remarks.
For further information about downloading and installing the library (C++ or Python), please visit the GUDHI web site.
Published by VincentRouvreau over 4 years ago
We are pleased to announce the release 3.2.0 of the GUDHI library.
As a major new feature, the GUDHI library now offers a Python interface to Hera to compute the Wasserstein distance.
PyBind11 is now required to build the Python module.
We are now using GitHub to develop the GUDHI library, do not hesitate to fork the GUDHI project on GitHub. From a user point of view, we recommend to download GUDHI user version (gudhi.3.2.0.tar.gz).
Below is a list of changes made since GUDHI 3.1.1:
Point cloud utilities
Rips complex
gudhi.wasserstein.wasserstein_distance
has now an option to return the optimal matching that achieves the distance between the two diagrams.Miscellaneous
All modules are distributed under the terms of the MIT license.
However, there are still GPL dependencies for many modules. We invite you to check our license dedicated web page for further details.
We kindly ask users to cite the GUDHI library as appropriately as possible in their papers, and to mention the use of the GUDHI library on the web pages of their projects using GUDHI and provide us with links to these web pages.
We provide bibtex entries for the modules of the User and Reference Manual, as well as for publications directly related to the GUDHI library.
Feel free to contact us in case you have any questions or remarks.
For further information about downloading and installing the library (C++ or Python), please visit the GUDHI web site.
Published by VincentRouvreau over 4 years ago
We are pleased to announce the release 3.2.0 of the GUDHI library.
As a major new feature, the GUDHI library now offers a Python interface to Hera to compute the Wasserstein distance.
PyBind11 is now required to build the Python module.
We are now using GitHub to develop the GUDHI library, do not hesitate to fork the GUDHI project on GitHub. From a user point of view, we recommend to download GUDHI user version (gudhi.3.2.0.tar.gz).
Below is a list of changes made since GUDHI 3.1.1:
Point cloud utilities
Rips complex
gudhi.wasserstein.wasserstein_distance
has now an option to return the optimal matching that achieves the distance between the two diagrams.Miscellaneous
All modules are distributed under the terms of the MIT license.
However, there are still GPL dependencies for many modules. We invite you to check our license dedicated web page for further details.
We kindly ask users to cite the GUDHI library as appropriately as possible in their papers, and to mention the use of the GUDHI library on the web pages of their projects using GUDHI and provide us with links to these web pages.
We provide bibtex entries for the modules of the User and Reference Manual, as well as for publications directly related to the GUDHI library.
Feel free to contact us in case you have any questions or remarks.
For further information about downloading and installing the library (C++ or Python), please visit the GUDHI web site.
Published by VincentRouvreau over 4 years ago
gudhi-3.1.1 is a bug-fix release. In particular, it fixes the installation of the Python representation module.
The list of bugs that were solved since gudhi-3.1.0 is available on GitHub.
All modules are distributed under the terms of the MIT license.
However, there are still GPL dependencies for many modules. We invite you to check our license dedicated web page for further details.
We kindly ask users to cite the GUDHI library as appropriately as possible in their papers, and to mention the use of the GUDHI library on the web pages of their projects using GUDHI and provide us with links to these web pages.
We provide bibtex entries for the modules of the User and Reference Manual, as well as for publications directly related to the GUDHI library.
Feel free to contact us in case you have any questions or remarks.
For further information about downloading and installing the library (C++ or Python), please visit the GUDHI web site.
Published by VincentRouvreau over 4 years ago
Gudhi-3.1.1 is a bug-fix release. In particular, it fixes the installation of the Python representation module.
The list of bugs that were solved since gudhi-3.1.0 is available on GitHub.
All modules are distributed under the terms of the MIT license.
However, there are still GPL dependencies for many modules. We invite you to check our license dedicated web page for further details.
We kindly ask users to cite the GUDHI library as appropriately as possible in their papers, and to mention the use of the GUDHI library on the web pages of their projects using GUDHI and provide us with links to these web pages.
We provide bibtex entries for the modules of the User and Reference Manual, as well as for publications directly related to the GUDHI library.
Feel free to contact us in case you have any questions or remarks.
For further information about downloading and installing the library (C++ or Python), please visit the GUDHI web site.
Published by VincentRouvreau over 4 years ago
We are pleased to announce the release 3.1.0 of the GUDHI library.
As a major new feature, the GUDHI library now offers 2 new Python modules: Persistence representations and Wasserstein distance.
We are now using GitHub to develop the GUDHI library, do not hesitate to fork the GUDHI project on GitHub. From a user point of view, we recommend to download GUDHI user version (gudhi.3.1.0.tar.gz).
Below is a list of changes made since Gudhi 3.0.0:
Persistence representations (new Python module)
Wasserstein distance (new Python module)
Alpha complex (new C++ interface)
Persistence graphical tools (new Python interface)
Miscellaneous
read_off
function has been renamed read_points_from_off_file
as it only reads points from OFF files.All modules are distributed under the terms of the MIT license.
However, there are still GPL dependencies for many modules. We invite you to check our license dedicated web page for further details.
We kindly ask users to cite the GUDHI library as appropriately as possible in their papers, and to mention the use of the GUDHI library on the web pages of their projects using GUDHI and provide us with links to these web pages.
We provide bibtex entries for the modules of the User and Reference Manual, as well as for publications directly related to the GUDHI library.
Feel free to contact us in case you have any questions or remarks.
For further information about downloading and installing the library (C++ or Python), please visit the GUDHI web site.
Published by VincentRouvreau almost 5 years ago
We are pleased to announce the release 3.1.0 of the GUDHI library.
As a major new feature, the GUDHI library now offers 2 new Python modules: Persistence representations and Wasserstein distance.
We are now using GitHub to develop the GUDHI library, do not hesitate to fork the GUDHI project on GitHub. From a user point of view, we recommend to download GUDHI user version (gudhi.3.1.0.rc1.tar.gz).
Below is a list of changes made since Gudhi 3.0.0:
Persistence representations (new Python module)
Wasserstein distance (new Python module)
Alpha complex (new C++ interface)
Persistence graphical tools (new Python interface)
Miscellaneous
read_off
function has been renamed read_points_from_off_file
as it only read points from OFF files.All modules are distributed under the terms of the MIT license.
There are still GPL dependencies for many modules, and so for an end-user it doesn't necessarily change much. We invite you to check our license dedicated web page for further details about this change.
We kindly ask users to cite the GUDHI library as appropriately as possible in their papers, and to mention the use of the GUDHI library on the web pages of their projects using GUDHI and provide us with links to these web pages.
We provide bibtex entries for the modules of the User and Reference Manual, as well as for publications directly related to the GUDHI library.
Feel free to contact us in case you have any questions or remarks.
For further information about downloading and installing the library (C++ or Python), please visit the GUDHI web site.
Published by VincentRouvreau about 5 years ago
We are pleased to announce the release 3.0.0 of the GUDHI library.
As a major new feature, the GUDHI library is now released under a MIT license
in order to ease the external contributions.
There are still GPL dependencies for many modules, and so for an end-user it
doesn't necessarily change much. We invite you to check our
license dedicated web page
for further details about this change.
We are now using GitHub to develop the GUDHI library, do not hesitate to
fork the GUDHI project on GitHub.
From a user point of view, we recommend to download GUDHI user version.
Below is a list of changes made since Gudhi 2.3.0:
Persistence graphical tools (new functionnality)
Rips complex (new Python interface)
Alpha complex (new C++ interface)
Third parties (new dependencies)
All modules are distributed under the terms of the MIT license.
We kindly ask users to cite the GUDHI library as appropriately as possible in their papers, and to mention the use of the GUDHI library on the web pages of
their projects using GUDHI and provide us with links to these web pages.
Feel free to contact us in case you have any questions or remarks.
We provide bibtex entries for the modules of the User and Reference Manual,
as well as for publications directly related to the GUDHI library.
For further information about downloading and installing the library (C++
or Python), please visit the GUDHI web site.
Published by VincentRouvreau about 5 years ago
We are pleased to announce the release 3.0.0 of the GUDHI library.
As a major new feature, the GUDHI library is now released under a MIT license
in order to ease the external contributions.
There are still GPL dependencies for many modules, and so for an end-user it
doesn't necessarily change much. We invite you to check our
license dedicated web page
for further details about this change.
We are now using GitHub to develop the GUDHI library, do not hesitate to
fork the GUDHI project on GitHub.
From a user point of view, we recommend to download GUDHI user version.
Below is a list of changes made since Gudhi 2.3.0:
Persistence graphical tools (new functionnality)
Rips complex (new Python interface)
Alpha complex (new C++ interface)
Third parties (new dependencies)
All modules are distributed under the terms of the MIT license.
We kindly ask users to cite the GUDHI library as appropriately as possible in their papers, and to mention the use of the GUDHI library on the web pages of
their projects using GUDHI and provide us with links to these web pages.
Feel free to contact us in case you have any questions or remarks.
We provide bibtex entries for the modules of the User and Reference Manual,
as well as for publications directly related to the GUDHI library.
For further information about downloading and installing the library (C++
or Python), please visit the GUDHI web site.
Published by VincentRouvreau about 5 years ago
We are pleased to announce the release 3.0.0 of the GUDHI library.
As a major new feature, the GUDHI library is now released under a MIT license.
We invite you to check our license dedicated web page
for further details about this change.
We are now using GitHub to develop the GUDHI library, do not hesitate to
fork the GUDHI project on GitHub.
Below is a list of changes made since Gudhi 2.3.0:
Persistence graphical tools (new functionnality)
Rips complex (new Python interface)
Alpha complex (new C++ interface)
Third parties (new dependencies)
All modules are distributed under the terms of the MIT license.
We kindly ask users to cite the GUDHI library as appropriately as possible in their papers, and to mention the use of the GUDHI library on the web pages of
their projects using GUDHI and provide us with links to these web pages.
Feel free to contact us in case you have any questions or remarks.
We provide bibtex entries for the modules of the User and Reference Manual,
as well as for publications directly related to the GUDHI library.
For further information about downloading and installing the library (C++
or Python), please visit the GUDHI web site.