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authorGard Spreemann <gspr@nonempty.org>2019-09-25 14:53:36 +0200
committerGard Spreemann <gspr@nonempty.org>2019-09-25 14:53:36 +0200
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+[![Build Status](https://travis-ci.org/GUDHI/gudhi-devel.svg?branch=master)](https://travis-ci.org/GUDHI/gudhi-devel)
+[![CircleCI](https://circleci.com/gh/GUDHI/gudhi-devel/tree/master.svg?style=svg)](https://circleci.com/gh/GUDHI/gudhi-devel/tree/master)
+[![Build status](https://ci.appveyor.com/api/projects/status/976j2uut8xgalvx2/branch/master?svg=true)](https://ci.appveyor.com/project/GUDHI/gudhi-devel/branch/master)
+
+
+![GUDHI](src/common/doc/Gudhi_banner.png "Topological Data Analysis (TDA) and Higher Dimensional Geometry Understanding")
+
+The GUDHI library is a generic open source C++ library, with a Python interface, for Topological Data Analysis (TDA) and Higher Dimensional Geometry Understanding. The library offers state-of-the-art data structures and algorithms to construct simplicial complexes and compute persistent homology.
+
+# Compilation and installation
+
+To install GUDHI, you can follow the [C++ compilation procedure](https://gudhi.inria.fr/doc/latest/installation.html), the [Python compilation procedure](https://gudhi.inria.fr/python/latest/installation.html), use our [conda-forge package](https://gudhi.inria.fr/conda/), or [go with Docker](https://gudhi.inria.fr/dockerfile/).
+
+# More information
+
+* [The GUDHI website](https://gudhi.inria.fr/)
+* [Contact us](https://gudhi.inria.fr/contact/)
+* [Subscribe to the GUDHI users mailing list](https://gudhi.inria.fr/keepintouch/)
+* [Tutorials](https://gudhi.inria.fr/tutorials/)