pynn

A Python package for simulator-independent specification of neuronal network models.

https://github.com/neuralensemble/pynn

Science Score: 36.0%

This score indicates how likely this project is to be science-related based on various indicators:

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CITATION.cff file
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codemeta.json file
Found codemeta.json file
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.zenodo.json file
Found .zenodo.json file
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DOI references
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Committers with academic emails
19 of 53 committers (35.8%) from academic institutions
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JOSS paper metadata
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Scientific vocabulary similarity
Low similarity (15.4%) to scientific vocabulary

Last synced: 9 months ago · JSON representation

Repository

A Python package for simulator-independent specification of neuronal network models.

Basic Info

Host: GitHub
Owner: NeuralEnsemble
License: other
Language: Python
Default Branch: master
Size: 21.7 MB

Statistics

Stars: 293
Watchers: 24
Forks: 133
Open Issues: 130
Releases: 6

Created about 13 years ago · Last pushed 11 months ago

Metadata Files

Readme Changelog Contributing License Code of conduct Authors Codemeta

README.rst

PyNN
====

PyNN (pronounced '*pine*') is a simulator-independent language for building
neuronal network models.

In other words, you can write the code for a model once, using the PyNN API and
the Python programming language, and then run it without modification on any
simulator that PyNN supports (currently NEURON, NEST and Brian 2) and
on a number of neuromorphic hardware systems.

The PyNN API aims to support modelling at a high-level of abstraction
(populations of neurons, layers, columns and the connections between them) while
still allowing access to the details of individual neurons and synapses when
required. PyNN provides a library of standard neuron, synapse and synaptic
plasticity models, which have been verified to work the same on the different
supported simulators. PyNN also provides a set of commonly-used connectivity
algorithms (e.g. all-to-all, random, distance-dependent, small-world) but makes
it easy to provide your own connectivity in a simulator-independent way.

Even if you don't wish to run simulations on multiple simulators, you may
benefit from writing your simulation code using PyNN's powerful, high-level
interface. In this case, you can use any neuron or synapse model supported by
your simulator, and are not restricted to the standard models.

- Home page: http://neuralensemble.org/PyNN/
- Documentation: http://neuralensemble.org/docs/PyNN/
- Mailing list: https://groups.google.com/forum/?fromgroups#!forum/neuralensemble
- Bug reports: https://github.com/NeuralEnsemble/PyNN/issues

:copyright: Copyright 2006-2024 by the PyNN team, see AUTHORS.
:license: CeCILL, see LICENSE for details.

.. image:: https://github.com/NeuralEnsemble/PyNN/actions/workflows/full-test.yml/badge.svg
:target: https://github.com/NeuralEnsemble/PyNN/actions/workflows/full-test.yml
:alt: Unit Test Status

.. image:: https://coveralls.io/repos/NeuralEnsemble/PyNN/badge.svg?branch=master&service=github
:target: https://coveralls.io/github/NeuralEnsemble/PyNN?branch=master
:alt: Test coverage

Funding
-------

Development of PyNN has been partially funded by the European Union Sixth Framework Program (FP6) under
grant agreement FETPI-015879 (FACETS), by the European Union Seventh Framework Program (FP7/2007-2013)
under grant agreements no. 269921 (BrainScaleS) and no. 604102 (HBP),
and by the European Union’s Horizon 2020 Framework Programme for
Research and Innovation under the Specific Grant Agreements No. 720270 (Human Brain Project SGA1)
, No. 785907 (Human Brain Project SGA2) and No. 945539 (Human Brain Project SGA3).

Owner

Name: NeuralEnsemble
Login: NeuralEnsemble
Kind: organization

Website: http://neuralensemble.org
Repositories: 25
Profile: https://github.com/NeuralEnsemble

CodeMeta (codemeta.json)

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  "releaseNotes": "http://neuralensemble.org/docs/PyNN/releases/0.12.4.html",
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GitHub Events

Total

Issues event: 10
Watch event: 17
Delete event: 1
Issue comment event: 24
Push event: 20
Pull request event: 10
Pull request review event: 2
Pull request review comment event: 3
Fork event: 10
Create event: 2

Last Year

Issues event: 10
Watch event: 17
Delete event: 1
Issue comment event: 24
Push event: 20
Pull request event: 10
Pull request review event: 2
Pull request review comment event: 3
Fork event: 10
Create event: 2

Committers

Last synced: over 2 years ago

All Time

Total Commits: 2,113
Total Committers: 53
Avg Commits per committer: 39.868
Development Distribution Score (DDS): 0.397

Past Year

Commits: 77
Committers: 4
Avg Commits per committer: 19.25
Development Distribution Score (DDS): 0.052

Top Committers

Name	Email	Commits
Andrew Davison	a**n@u**r	1,274
Pierre Yger	p**r@u**r	207
Andrew Davison	a**n@c**r	139
JoelChavas	j**s@u**r	83
appukuttan-shailesh	a**h@g**m	63
Tom Close	t**e@o**p	60
Padraig Gleeson	p**n@g**m	44
Eilif Muller	e**r@e**h	43
Jens Kremkow	k**w@b**e	21
Jan Antolik	a**n@g**m	15
Oliver Breitwieser	o**r@g**m	14
Daniel Brüderle	b**e@k**e	13
Onur Ates	o**s@u**r	12
Maximilian Schmidt	m**t@f**e	12
Maximilian Schmidt	m**t@f**e	10
Mike Hull	m**k@g**m	8
Håkon Mørk	h**k@n**o	7
Ankur Sinha (Ankur Sinha Gmail)	s**r@g**m	5
tomish	t**h@g**m	5
jschuecker	j**r@f**e	5
Joffrey Gonin	J**n@g**m	5
Laurent Perrinet	l**t@g**m	5
RCagnol	r**l@g**m	5
Elodie Legouée	e**e@u**r	5
C.A.P. Linssen	c**l@t**m	4
Jochen Eppler	e**r@b**e	4
Nicolas Debeissat	N**t@s**r	4
Dejan Pecevski	d**n@i**t	4
Mikael Djurfeldt	m**l@d**m	3
Laurent Perrinet	l**t@u**r	3
and 23 more...

Committer Domains (Top 20 + Academic)

unic.cnrs-gif.fr: 5 kip.uni-heidelberg.de: 5 fz-juelich.de: 4 biologie.uni-freiburg.de: 2 sophia.inria.fr: 2 cnrs.fr: 1 oist.jp: 1 epfl.ch: 1 nmbu.no: 1 turingbirds.com: 1 igi.tugraz.at: 1 djurfeldt.com: 1 univ-amu.fr: 1 jia.je: 1 fu-berlin.de: 1 kleider.name: 1 introspection.eu: 1 asu.edu: 1 fz.juelich.de: 1 gerkin.org: 1 plymouth.ac.uk: 1

Issues and Pull Requests

Last synced: 10 months ago

All Time

Total issues: 39
Total pull requests: 65
Average time to close issues: 4 months
Average time to close pull requests: about 2 months
Total issue authors: 24
Total pull request authors: 14
Average comments per issue: 1.64
Average comments per pull request: 1.29
Merged pull requests: 47
Bot issues: 0
Bot pull requests: 0

Past Year

Issues: 4
Pull requests: 11
Average time to close issues: about 2 months
Average time to close pull requests: 6 days
Issue authors: 4
Pull request authors: 6
Average comments per issue: 1.0
Average comments per pull request: 0.73
Merged pull requests: 5
Bot issues: 0
Bot pull requests: 0

View more stats

Top Authors

Issue Authors

Christian-B (8)
apdavison (4)
penguinpee (3)
RCagnol (2)
ChrisHuyck (2)
chaoming0625 (2)
rowleya (2)
otcathatsya (1)
ZackWave (1)
hanbuck30 (1)
mdjurfeldt (1)
Sean535 (1)
hamanpa (1)
dietriro (1)
appukuttan-shailesh (1)

Pull Request Authors

apdavison (41)
HarshKhilawala (10)
sanjayankur31 (6)
lungsi (3)
appukuttan-shailesh (3)
jiegec (3)
clinssen (3)
RCagnol (2)
rnwatanabe (2)
a-detiste (2)
kavilac (1)
tomglk (1)
sdivyanshu90 (1)
hartmutschmidt (1)

Top Labels

Issue Labels

defect (7) documentation (6) Windows (4) NEURON (3) Brian2 (2) question (2) NEST (1) testing (1) multicompartment (1) awaiting feedback (1) Arbor (1)

Pull Request Labels

NEST (11) enhancement (9) defect (8) Brian2 (5) NEURON (4) testing (4) Arbor (2) MPI (2) documentation (1) Windows (1) task (1)

Packages

Total packages: 1
Total downloads:
- pypi 2,410 last-month

Total dependent packages: 2
Total dependent repositories: 5
Total versions: 28
Total maintainers: 1

pypi.org: pynn

A Python package for simulator-independent specification of neuronal network models

Documentation: https://pynn.readthedocs.io/
License: other
Latest release: 0.12.4
published about 1 year ago

Versions: 28
Dependent Packages: 2
Dependent Repositories: 5
Downloads: 2,410 Last month

Rankings

Dependent packages count: 3.2%

Average: 5.0%

Downloads: 5.3%

Dependent repos count: 6.6%

Maintainers (1)

apdavison

Last synced: 9 months ago

Dependencies

requirements.txt pypi

Jinja2 >=2.6
docutils >=0.10
h5py *
lazyarray >=0.5.0
mock >1.0
neo master
nose *
numpy >=1.16.0
quantities >=0.12.1
setuptools >=20.5

setup.py pypi

lazyarray >=0.5.0
neo >=0.10.0
numpy >=1.16.1
quantities >=0.12.1

.github/workflows/full-test.yml actions

actions/checkout v2 composite
actions/setup-python v2 composite

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pynn

Science Score: 36.0%

Repository

Basic Info

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Metadata Files

README.rst

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CodeMeta (codemeta.json)

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pypi.org: pynn

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Maintainers (1)

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