PyBoolNet is a Python package for the generation, modification and analysis of Boolean networks. The accompanying paper was published with Bioinformatics and is available at

• https://doi.org/10.1093/bioinformatics/btw682

For the manual, a reference and tutorials see the PyBoolNet manual. For bug reports and feedback do not hesitate to open issues at PyBoolNet issues or contact

• hannes.klarner@fu-berlin.de (developer)
• heike.siebert@fu-berlin.de

Please browse the PyBoolNet model repository for attractor, basin and phenotype information of example networks.

Do not try to install this git repository directly, see Issue #16. Instead download the latest release from https://github.com/hklarner/PyBoolNet/releases and use pip to install. For example:

sudo pip3 install PyBoolNet-2.2.5_linux64.tar.gz

• bugfix in create_piechart, affects python3
• bugfix in Commitment.create_diagram caused by moving to networkx2
• bugifx in Basins.create_barplot caused by range, affects python3
• bugfix in ModelChecking.primes2smv for van ham init constraints, caused by zip, affects python3
• bugfix in StateTransitionGraphs.random_walk
• bugfix in StateTransitionGraphs.create_image: adding styles anonymous and mintrapspaces
• bugfix in InteractionGraphs: drawing subgraphs, caused by moving to networkx2

For older release notes, see RELEASENOTES.md