Package to study structure and activity in neuronal networks

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for Silmathoron from gravatar.com Silmathoron Avatar for tfardet from gravatar.com tfardet

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: GNU General Public License v3 (GPLv3) (GPL3)
  • Author: Tanguy Fardet
  • Tags network, graph, structure, simulation, neuron, NEST, DeNSE, topology, growth
  • Requires: Python >=3.5, <4
Classifiers

Project description

NNGT provides a unified interface to use three of the main Python graph libraries (graph-tool, igraph, and networkx) in order to generate and study neuronal networks. It allows the user to easily send this graph to the NEST simulator, the analyze the resulting activity while taking structure into account.

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for Silmathoron from gravatar.com Silmathoron Avatar for tfardet from gravatar.com tfardet

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: GNU General Public License v3 (GPLv3) (GPL3)
  • Author: Tanguy Fardet
  • Tags network, graph, structure, simulation, neuron, NEST, DeNSE, topology, growth
  • Requires: Python >=3.5, <4
Classifiers

Release history Release notifications | RSS feed

2.8.0

2.7.3

2.7.2

2.7.1

2.7.0

2.6.0

2.5.3

2.5.2

2.5.1

2.5.0

2.4.0

2.3.0

2.2.1

2.2.0

This version

2.1.0

2.0.1

2.0.0

1.3.2

1.3.1

1.3.0

1.2.1

1.2.0

1.1.1

1.1.0

1.0.2

1.0.1

1.0.0a2 pre-release

1.0.0a1 pre-release

0.9.dev3 pre-release

0.9.dev2 pre-release

0.9.dev1 pre-release

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

nngt-2.1.0.zip (1.8 MB view details)

Uploaded Source

Built Distributions

nngt-2.1.0-cp38-cp38-manylinux1_x86_64.whl (1.6 MB view details)

Uploaded CPython 3.8

nngt-2.1.0-cp37-cp37m-manylinux1_x86_64.whl (1.5 MB view details)

Uploaded CPython 3.7m

nngt-2.1.0-cp36-cp36m-manylinux1_x86_64.whl (1.5 MB view details)

Uploaded CPython 3.6m

nngt-2.1.0-cp35-cp35m-manylinux1_x86_64.whl (1.5 MB view details)

Uploaded CPython 3.5m

File details

Details for the file nngt-2.1.0.zip.

File metadata

  • Download URL: nngt-2.1.0.zip
  • Upload date:
  • Size: 1.8 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.2.0 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.8.3

File hashes

Hashes for nngt-2.1.0.zip
Algorithm Hash digest
SHA256 f9cf01fc1fb13bc4d03b7926a6c5ffa9a5a8532f184cbf64b75b563ed1f4601f
MD5 1ee00679db5f1a77bde5392dd0b92d8a
BLAKE2b-256 b11909dc67587af3e779291e201b607f5ef91eb54ce1d7df9a8d7f8275aaaac3

See more details on using hashes here.

Provenance

File details

Details for the file nngt-2.1.0-cp38-cp38-manylinux1_x86_64.whl.

File metadata

  • Download URL: nngt-2.1.0-cp38-cp38-manylinux1_x86_64.whl
  • Upload date:
  • Size: 1.6 MB
  • Tags: CPython 3.8
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.2.0 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.8.3

File hashes

Hashes for nngt-2.1.0-cp38-cp38-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 c2181f92990ab505b60d9768bb2cea05b2d76bf3a58fa27c56742285847c2141
MD5 6307bdc42c77c5154ea2f797ff495432
BLAKE2b-256 6985ee9b608741cc9c4b723582a0bc9fd740d415595a997d095248431509eba3

See more details on using hashes here.

Provenance

File details

Details for the file nngt-2.1.0-cp37-cp37m-manylinux1_x86_64.whl.

File metadata

  • Download URL: nngt-2.1.0-cp37-cp37m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 1.5 MB
  • Tags: CPython 3.7m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.2.0 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.8.3

File hashes

Hashes for nngt-2.1.0-cp37-cp37m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 9eeb72185678ad8ae62ff3cc86c1845bb293b13323ebb4b86ba42ed389895b3d
MD5 a2470af1f3e7531b4f03b11e5246911c
BLAKE2b-256 05eda6a5caf83fe81fb2e60cd31e06d1d94d2fc58999475718f06dfe7b589586

See more details on using hashes here.

Provenance

File details

Details for the file nngt-2.1.0-cp36-cp36m-manylinux1_x86_64.whl.

File metadata

  • Download URL: nngt-2.1.0-cp36-cp36m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 1.5 MB
  • Tags: CPython 3.6m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.2.0 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.8.3

File hashes

Hashes for nngt-2.1.0-cp36-cp36m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 82ff2266f67a704b342dcf9b3c46488c64cf18530e8923431cb8f8cfa3b01e14
MD5 6bbd238b01cc619e36eabc61d4ddf0d9
BLAKE2b-256 58ccaab46c2f45342230fc0a227b91f52939293a06f9a8c8663d1a501ba42526

See more details on using hashes here.

Provenance

File details

Details for the file nngt-2.1.0-cp35-cp35m-manylinux1_x86_64.whl.

File metadata

  • Download URL: nngt-2.1.0-cp35-cp35m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 1.5 MB
  • Tags: CPython 3.5m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.2.0 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.8.3

File hashes

Hashes for nngt-2.1.0-cp35-cp35m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 555e593fddfbc5e259cc89d34ab7b31f83c84be7477722a79f204ee3fe3aa202
MD5 850c841178f1cc8f8fb16f4e29399739
BLAKE2b-256 e967b479e549d3855ac3c797dc2afb01dd62d3fb7f0a846c4331862d6dd97a2b

See more details on using hashes here.

Provenance

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page