Skip to main content

Modular tool to analysis of dynamic system with a complex internal structure.

Project description

Neads is a modular tool for modelling of dynamical systems with complex internal structure by complex networks. The library is able to automatically configure various parametrized analytical pipelines, it allows executing all potential runs and comparing their results. Also, it stores intermediate results and makes them available for acceleration of subsequent calculations as well as potential pipelines extensions. This tool is suitable for analysing many real-world systems including the human brain, financial systems or social networks.

Install

Install Neads via pip:

$ pip install neads

Bugs

Please report any bugs you find here.

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-1.0.1.tar.gz (61.4 kB view details)

Uploaded Source

Built Distribution

neads-1.0.1-py3-none-any.whl (93.3 kB view details)

Uploaded Python 3

File details

Details for the file neads-1.0.1.tar.gz.

File metadata

  • Download URL: neads-1.0.1.tar.gz
  • Upload date:
  • Size: 61.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.9.1

File hashes

Hashes for neads-1.0.1.tar.gz
Algorithm Hash digest
SHA256 b857a6cd464f5b6e442efed8cb5d883e439a7aec8be8bb9f21b05c5cfa6625e0
MD5 fc9b7e4c06178301a3cedbeff4bad67a
BLAKE2b-256 f1d0f891eb24866ae005b102e198d5c141ce8ed2c103ada0298186b42127e6d9

See more details on using hashes here.

File details

Details for the file neads-1.0.1-py3-none-any.whl.

File metadata

  • Download URL: neads-1.0.1-py3-none-any.whl
  • Upload date:
  • Size: 93.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.9.1

File hashes

Hashes for neads-1.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 1e0cf966ad8b5e72b71cc69efebc750a66215707d798b580ae4b14010fef646d
MD5 535bd3b8ba0d9b9655a6496b9afc6f3c
BLAKE2b-256 1657b5807c1a25028e286eb07228824ef3da65ab608e5a47e56368bd9915848b

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