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JOSS: https://github.com/wilsonrljr/sysidentpy

data-science dynamical-systems machine-learning narmax narx system-identification time-series

Score: 16.020698675309323

Last synced: about 3 hours ago
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Repository metadata:

A Python Package For System Identification Using NARMAX Models


Owner metadata:


GitHub Events

Total
Last Year

Committers metadata

Last synced: 12 days ago

Total Commits: 980
Total Committers: 21
Avg Commits per committer: 46.667
Development Distribution Score (DDS): 0.065

Commits in past year: 97
Committers in past year: 3
Avg Commits per committer in past year: 32.333
Development Distribution Score (DDS) in past year: 0.021

Name Email Commits
Wilson Rocha w****r@o****m 916
Samuel Oliveira r****2@g****m 19
Marcos Oliveira m****4@g****m 11
LuanPascoal 4****l 8
Samuel Oliveira s****a@g****m 4
unknown m****s@g****m 3
Lennart Werner m****l@l****e 2
Matheus Teixeira m****4@g****m 2
dj-gauthier 4****r 2
lsamuel41196 5****6 2
Andrea Galeazzi a****i@i****k 1
Armando Barbosa a****4@g****m 1
Caio Mizerkowski c****i@g****m 1
David P. Sanders d****s@g****m 1
Gabriel 7****r 1
GabrielBuenoLeandro g****0@g****m 1
Goutam 1****l 1
Natália Keles 6****s 1
Suyash Gaikwad s****d@S****l 1
Arturo Melendez a****z@o****m 1
aryan a****9@g****m 1

Issue and Pull Request metadata

Last synced: 8 months ago

Total issues: 36
Total pull requests: 121
Average time to close issues: 12 months
Average time to close pull requests: 8 days
Total issue authors: 22
Total pull request authors: 17
Average comments per issue: 2.33
Average comments per pull request: 0.4
Merged pull request: 103
Bot issues: 0
Bot pull requests: 0

Past year issues: 11
Past year pull requests: 77
Past year average time to close issues: 5 days
Past year average time to close pull requests: about 13 hours
Past year issue authors: 9
Past year pull request authors: 8
Past year average comments per issue: 1.36
Past year average comments per pull request: 0.21
Past year merged pull request: 65
Past year bot issues: 0
Past year bot pull requests: 0

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/wilsonrljr/sysidentpy

Top Issue Authors

  • wilsonrljr (13)
  • himanshupant24 (2)
  • onguntoglu (2)
  • AntoineDubois (1)
  • jtylka (1)
  • helonayala (1)
  • lukagrden (1)
  • lucas-mior (1)
  • intern-hue (1)
  • nema69 (1)
  • tzhu-ece (1)
  • DJIDM (1)
  • Lalith-Sagar-Devagudi (1)
  • wangshanze (1)
  • uqdlt (1)

Top Pull Request Authors

  • wilsonrljr (91)
  • oliveira-mark (8)
  • GabrielBuenoLeandro (2)
  • lsamuel41196 (2)
  • uqdlt (2)
  • SHRISHTISHUKLA-0 (2)
  • LeWerner42 (2)
  • hyunwooOpa (2)
  • nataliakeles (2)
  • mtsousa (1)
  • gamcorn (1)
  • dj-gauthier (1)
  • ryanbasic1 (1)
  • dullahh (1)
  • goutam-kul (1)

Top Issue Labels

  • Enhancement (10)
  • team effort (9)
  • Documentation (5)
  • bug (3)
  • Basis Function (2)
  • good first issue (2)
  • needs research (1)
  • Model Structure Selection (1)
  • Metrics (1)
  • question (1)

Top Pull Request Labels

  • Basis Function (3)
  • Documentation (2)
  • Enhancement (2)
  • Utils (1)

Package metadata

pypi.org: sysidentpy

A Python Package For System Identification Using NARMAX Models

  • Homepage:
  • Documentation: https://sysidentpy.readthedocs.io/
  • Licenses: BSD 3-Clause License Copyright (c) 2019, Wilson Rocha; Luan Pascoal; Samuel Oliveira; Samir Martins All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: * Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. * Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. * Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
  • Latest release: 0.8.0 (published 3 months ago)
  • Last Synced: 2026-05-01T15:02:21.608Z (about 2 months ago)
  • Versions: 26
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Downloads: 821 Last month
  • Rankings:
    • Downloads: 9.758%
    • Dependent packages count: 10.069%
    • Average: 13.818%
    • Dependent repos count: 21.628%
  • Maintainers (4)

Dependencies

requirements.txt pypi
  • matplotlib *
  • numpy *
  • scipy *
  • torch >=1.7.1
.github/workflows/python-package.yml actions
  • actions/checkout v2 composite
  • actions/setup-python v2 composite
pyproject.toml pypi
  • matplotlib >=3.3.2
  • numpy >=1.19.2
  • scipy >=1.7.0