Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

https://github.com/bluebrain/snap

The Blue Brain Pythonic Simulation and Network Analysis Productivity layer
https://github.com/bluebrain/snap

analysis modeling simulation

Last synced: 2 months ago
JSON representation

The Blue Brain Pythonic Simulation and Network Analysis Productivity layer

Host: GitHub
URL: https://github.com/bluebrain/snap
Owner: BlueBrain
License: lgpl-3.0
Created: 2019-05-28T15:00:49.000Z (over 5 years ago)
Default Branch: master
Last Pushed: 2024-04-12T10:19:51.000Z (10 months ago)
Last Synced: 2024-04-13T19:53:54.882Z (10 months ago)
Topics: analysis, modeling, simulation
Language: Python
Homepage: https://bluebrainsnap.readthedocs.io/
Size: 2.74 MB
Stars: 17
Watchers: 41
Forks: 10
Open Issues: 15
Metadata Files:
- Readme: README.rst
- Changelog: CHANGELOG.rst
- License: COPYING
- Authors: AUTHORS.txt

Awesome Lists containing this project

README

|banner|

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 `__ format.

Installation
------------

Blue Brain SNAP can be installed using ``pip``::

pip install bluepysnap

Usage
-----

For a full in-depth usage quide, there's a series of jupyter notebooks available in `doc/source/notebooks `_ subfolder.

There are two main interface classes provided by Blue Brain SNAP:

|circuit| corresponds to the *static* structure of a neural network, that is:

- node positions and properties,
- edge positions and properties, and,
- detailed morphologies.

|simulation| corresponds to the *dynamic* data for a neural network simulation, including:

- spike reports,
- soma reports, and,
- compartment reports.

Most of Blue Brain SNAP methods return `pandas `__ 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 `__, for accessing SONATA files
- `MorphIO `__, for accessing detailed morphologies

Tools
-----

Circuit Validation
~~~~~~~~~~~~~~~~~~

Blue Brain SNAP provides a SONATA circuit validator for verifying circuits.

The validation includes:

- integrity of the circuit config file.
- existence of the different node/edges files and ``components`` directories.
- presence of the "sonata required" field for node/edges files.
- the correctness of the edge to node population/ids bindings.
- existence of the morphology files for the nodes.

This functionality is provided by either the cli function:

.. code-block:: shell

bluepysnap validate-circuit my/circuit/path/circuit_config.json

Or a python free function:

.. code-block:: python3

from bluepysnap.circuit_validation import validate
errors = validate("my/circuit/path/circuit_config.json")

Simulation Validation
~~~~~~~~~~~~~~~~~~~~~

Similarly to circuit validation, Blue Brain SNAP also provides a SONATA simulation validator for verifying simulation configs.

Currently, the validator verifies that:

- all the mandatory fields are present in the config file
- all the properties in the `simulation config specification `__ have correct data types and accepted values
- paths specified in the config exist
- node sets specified in the config exist
- input spike file's node IDs are found in the ``source`` node set
- electrodes file's node IDs are found in the simulation's ``node_set`` (if set) or in non-virtual populations
- neurodamus helpers and variables exist (requires ``neurodamus`` to be available in the environment)

This functionality is provided by either the cli function:

.. code-block:: shell

bluepysnap validate-simulation my/circuit/path/simulation_config.json

Or a python free function:

.. code-block:: python3

from bluepysnap.simulation_validation import validate
errors = validate("my/circuit/path/simulation_config.json")

Acknowledgements
----------------

The development of this software was supported by funding to the Blue Brain Project, a research center of the École polytechnique fédérale de Lausanne (EPFL), from the Swiss government’s ETH Board of the Swiss Federal Institutes of Technology.

This project/research has received funding from the European Union’s Horizon 2020 Framework Programme for Research and Innovation under the Specific Grant Agreement No. 785907 (Human Brain Project SGA2).

The Blue Brain Project would like to thank `Dr Eilif Muller `_, the author of the precursor to Blue Brain SNAP, for his invaluable insights and contributions

License
-------

Blue Brain SNAP is licensed under the terms of the GNU Lesser General Public License version 3,
unless noted otherwise, for example, external dependencies.
Refer to `COPYING.LESSER `__ and
`COPYING `__ for details.

This program is free software: you can redistribute it and/or modify
it under the terms of the GNU Lesser General Public License version 3
as published by the Free Software Foundation.

This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU Lesser General Public License for more details.

You should have received a copy of the GNU Lesser General Public License
along with this program. If not, see .

.. |build_status| image:: https://github.com/BlueBrain/snap/actions/workflows/run-tox.yml/badge.svg
:alt: Build Status

.. |license| image:: https://img.shields.io/pypi/l/bluepysnap
:target: https://github.com/BlueBrain/snap/blob/master/COPYING.LESSER
:alt: License

.. |coverage| image:: https://codecov.io/github/BlueBrain/snap/coverage.svg?branch=master
:target: https://codecov.io/github/BlueBrain/snap?branch=master
:alt: codecov.io

.. |docs| image:: https://readthedocs.org/projects/bluebrainsnap/badge/?version=latest
:target: https://bluebrainsnap.readthedocs.io/
:alt: documentation status

.. |DOI| image:: https://zenodo.org/badge/DOI/10.5281/zenodo.8026852.svg
:target: https://doi.org/10.5281/zenodo.8026852
:alt: DOI