Skip to main content

Modular tool to analysis of dynamic system with an inherent network structure.

Project description

NEADS is a modular tool to process comparative studies on dynamical systems with an inherent network structure. It enables a simple design of analytical pipelines via a plugin architecture. Using this approach, we can use this tool for explorative and comparative studies on dynamical systems. This tool also implements procedures from essential tools such as Numpy or NetworkX, making plugin design easier. This tool is suitable for many real-world systems including the human brain, financial systems or social networks, see examples in documentation.

Install

Install Neads via pip:

$ pip install neads

Then you may use the tutorials to help you with the first steps.

Bugs

Please report any bugs you find here.

License

NetworkX is distributed with the GPL v.3 license.

Neads is a modular tool to process comparative studies on dynamical
systems with an inherent network structure.
Copyright (C) 2021, Neads developers
Tomáš Hons <hons.t.m :at: seznam.cz>
David Hartman <hartman :at: cs.cas.cz>
Jaroslav Hlinka <hlinka :at: cs.cas.cz>

This program is free software: you can redistribute it and/or modify
it under the terms of the GNU Affero General Public License as published
by the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.

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 Affero General Public License for more details.

You should have received a copy of the GNU Affero General Public License
along with this program.  If not, see <https://www.gnu.org/licenses/>.

Project details


Download files

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

Source Distribution

neads-0.0.0.tar.gz (61.0 kB view details)

Uploaded Source

Built Distribution

neads-0.0.0-py3-none-any.whl (97.8 kB view details)

Uploaded Python 3

File details

Details for the file neads-0.0.0.tar.gz.

File metadata

  • Download URL: neads-0.0.0.tar.gz
  • Upload date:
  • Size: 61.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.24.0 setuptools/53.0.0 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.8.2

File hashes

Hashes for neads-0.0.0.tar.gz
Algorithm Hash digest
SHA256 6f422262de19bf2b8aa94b9a1f92acb4ba80d10a5d5666b91950800bea5ab531
MD5 290b630cefc1663e498e1c5532da48af
BLAKE2b-256 bcad645a37e9276f8a1cf73386832475293e8e3895e8b4a79d04c23be8dd6a30

See more details on using hashes here.

File details

Details for the file neads-0.0.0-py3-none-any.whl.

File metadata

  • Download URL: neads-0.0.0-py3-none-any.whl
  • Upload date:
  • Size: 97.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.24.0 setuptools/53.0.0 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.8.2

File hashes

Hashes for neads-0.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 0c0275f374c012a44a7d2e4ade216951468297fade5caa53ed6b985a97dbdc82
MD5 edabf30bb29fadf7e9d36e89fce2f684
BLAKE2b-256 9e0f183fd4f91c86927f22b2b773399ace80229e2c56530d8d692380a679612e

See more details on using hashes here.

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