Python bindings for the flagser C++ library.


Keywords
topological, data, analysis, persistent, homology, directed, flags, complex, persistence, diagrams, algebraic-topology, computational-topology, persistent-homology, topological-data-analysis
License
GPL-3.0
Install
pip install pyflagser==0.4.4

Documentation

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pyflagser

pyflagser is a python API for the flagser C++ library by Daniel Lütgehetmann which computes the homology of directed flag complexes. Please check out the original luetge/flagser GitHub repository for more information.

Project genesis

pyflagser is the result of a collaborative effort between L2F SA, the Laboratory for Topology and Neuroscience at EPFL, and the Institute of Reconfigurable & Embedded Digital Systems (REDS) of HEIG-VD.

Installation

Dependencies

pyflagser requires:

  • Python (>= 3.7)
  • NumPy (>= 1.17.0)
  • SciPy (>= 0.17.0)

User installation

If you already have a working installation of numpy and scipy, the easiest way to install pyflagser is using pip

python -m pip install -U pyflagser

Documentation

API reference (stable release): https://docs-pyflagser.giotto.ai

Contributing

We welcome new contributors of all experience levels. The Giotto community goals are to be helpful, welcoming, and effective. To learn more about making a contribution to pyflagser, please see the CONTRIBUTING.rst file.

Developer installation

C++ dependencies:
  • C++14 compatible compiler
  • CMake >= 3.9
Source code

You can check the latest sources with the command:

git clone https://github.com/giotto-ai/pyflagser.git
To install:

From the cloned repository's root directory, run

python -m pip install -e ".[tests]"

This way, you can pull the library's latest changes and make them immediately available on your machine.

Testing

After installation, you can launch the test suite from outside the source directory:

pytest pyflagser

Changelog

See the RELEASE.rst file for a history of notable changes to pyflagser.

Important links

Contacts:

maintainers@giotto.ai