bluepysnap 0.2.0

Simulation and Neural network Analysis Productivity layer

Blue Brain SNAP

Blue Brain Simulation and Neural network Analysis Productivity layer (Blue Brain SNAP).

Blue Brain SNAP is a Python library for accessing BlueBrain circuit models represented in SONATA <https://github.com/AllenInstitute/sonata/blob/master/docs/SONATA_DEVELOPER_GUIDE.md>__ format.

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Installation

Blue Brain SNAP can be installed using pip::

pip install bluepysnap

Usage

The main interface class exposed is Circuit, which corresponds to the static structure of a neural network, that is:

• node positions and properties
• edge positions and properties
• detailed morphologies

Most of Blue Brain SNAP methods return pandas <https://pandas.pydata.org>__ Series or DataFrames, indexed in a way to facilitate combining data from different sources (that is, by node or edge IDs).

Among other dependencies, Blue Brain SNAP relies on Blue Brain Project provided libraries:

• libsonata <https://github.com/BlueBrain/libsonata>__, for accessing SONATA files
• NeuroM <https://github.com/BlueBrain/NeuroM>__, for accessing detailed morphologies

License

Blue Brain SNAP is licensed under the LGPLv3. Refer to the LICENSE.txt <https://github.com/BlueBrain/snap/blob/master/LICENSE.txt>__ for details.

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