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@@ -1,7 +1,7 @@ -[![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) +[![OSx on Azure](https://dev.azure.com/GUDHI/gudhi-devel/_apis/build/status/GUDHI.gudhi-devel?branchName=master)](https://dev.azure.com/GUDHI/gudhi-devel/_build/latest?definitionId=1&branchName=master) +[![Linux on CircleCI](https://circleci.com/gh/GUDHI/gudhi-devel/tree/master.svg?style=svg)](https://circleci.com/gh/GUDHI/gudhi-devel/tree/master) +[![Win on Appveyor](https://ci.appveyor.com/api/projects/status/976j2uut8xgalvx2/branch/master?svg=true)](https://ci.appveyor.com/project/GUDHI/gudhi-devel/branch/master) [![Anaconda Cloud](https://anaconda.org/conda-forge/gudhi/badges/version.svg)](https://anaconda.org/conda-forge/gudhi) [![Anaconda downloads](https://anaconda.org/conda-forge/gudhi/badges/downloads.svg)](https://anaconda.org/conda-forge/gudhi) @@ -10,6 +10,15 @@ 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. +# Source code + +We recommend that users get official releases from [the GUDHI website](https://gudhi.inria.fr/). + +For potential contributors, to fully checkout GUDHI, after cloning the git repository, you may also need to checkout its submodules using +```sh +git submodule update --init +``` + # 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/). |