spm1d

One-Dimensional Statistical Parametric Mapping in Python

https://github.com/0todd0000/spm1d

Science Score: 36.0%

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

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
  • Committers with academic emails
    1 of 8 committers (12.5%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (12.0%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

One-Dimensional Statistical Parametric Mapping in Python

Basic Info
  • Host: GitHub
  • Owner: 0todd0000
  • License: gpl-3.0
  • Language: Python
  • Default Branch: master
  • Size: 359 MB
Statistics
  • Stars: 70
  • Watchers: 9
  • Forks: 23
  • Open Issues: 8
  • Releases: 0
Created about 12 years ago · Last pushed 12 months ago
Metadata Files
Readme Contributing License Code of conduct

README.md

Python Numpy Scipy License: GPL v3 version downloads

spm1d

One-Dimensional Statistical Parametric Mapping in Python.

spm1d uses Random Field Theory expectations regarding the behavior of smooth, one-dimensional Gaussian fields to make statistical inferences regarding a set of one-dimensional continua.

Software documentation: www.spm1d.org

MATLAB source code: https://github.com/0todd0000/spm1dmatlab

Bug

A bug in nonparametric inference for small sample sizes was discovered in May 2025. Thank you very much to Dr. Jeremy Eekhoff for reporting the bug! This bug was fixed on 3 June 2025. A description of the bug and its fix is available in this notebook

Issues

Please report software bugs or other problems by searching existing issues or creating a new issue here.

License

spm1d is a package for one-dimensional Statistical Parametric Mapping (SPM). spm1d uses random field theory expectations regarding smooth, one-dimensional (random) Gaussian fields to make statistical inferences regarding a set of 1D measurements.

Copyright (C) 2025  Todd Pataky

This program is free software: you can redistribute it and/or modify
it under the terms of the GNU 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 General Public License for more details.

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

Owner

  • Name: Todd Pataky
  • Login: 0todd0000
  • Kind: user
  • Location: Kyoto, Japan
  • Company: Kyoto University

GitHub Events

Total
  • Issues event: 22
  • Watch event: 9
  • Delete event: 3
  • Issue comment event: 59
  • Push event: 35
  • Pull request event: 4
  • Fork event: 2
  • Create event: 2
Last Year
  • Issues event: 22
  • Watch event: 9
  • Delete event: 3
  • Issue comment event: 59
  • Push event: 35
  • Pull request event: 4
  • Fork event: 2
  • Create event: 2

Committers

Last synced: over 2 years ago

All Time
  • Total Commits: 136
  • Total Committers: 8
  • Avg Commits per committer: 17.0
  • Development Distribution Score (DDS): 0.324
Past Year
  • Commits: 22
  • Committers: 3
  • Avg Commits per committer: 7.333
  • Development Distribution Score (DDS): 0.318
Top Committers
Name Email Commits
Todd Pataky 0****0@g****m 92
Todd Pataky t****d@t****n 28
Todd Pataky t****d@h****t 6
Todd Pataky t****d@M****l 4
mrrezaie m****e@o****m 3
Amr a****y@g****m 1
Mark Robinson m****n@l****k 1
jakirkham j****m@g****m 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 10 months ago

All Time
  • Total issues: 146
  • Total pull requests: 7
  • Average time to close issues: 3 months
  • Average time to close pull requests: about 1 year
  • Total issue authors: 103
  • Total pull request authors: 4
  • Average comments per issue: 3.38
  • Average comments per pull request: 3.43
  • Merged pull requests: 6
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 13
  • Pull requests: 2
  • Average time to close issues: 3 months
  • Average time to close pull requests: 2 minutes
  • Issue authors: 12
  • Pull request authors: 1
  • Average comments per issue: 2.38
  • Average comments per pull request: 0.5
  • Merged pull requests: 2
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • 0todd0000 (10)
  • eleonora-mont (6)
  • Xlcandy (4)
  • joshuatbland (3)
  • adrianrivadulla (3)
  • ghost (3)
  • HelloBeer (3)
  • ruddbull (2)
  • MauriGiorgio (2)
  • Shivangi2208 (2)
  • stamstamNitzan (2)
  • fastcloud-cho (2)
  • TakumaInai (2)
  • yossy-biomech (2)
  • EmblaJ (2)
Pull Request Authors
  • 0todd0000 (4)
  • melund (1)
  • m-a-robinson (1)
  • mrrezaie (1)
Top Labels
Issue Labels
interpretation (8) theory (6) anova (5) posthoc (3) statistical power (3) unbalanced (2) online workshop (2) error (2) smoothness (2) clusters (1) random effects (1) installation (1) effect size (1) help wanted (1) validation (1) simulation (1) probability (1) variance (1)
Pull Request Labels

Packages

  • Total packages: 2
  • Total downloads:
    • pypi 3,506 last-month
  • Total docker downloads: 75
  • Total dependent packages: 3
    (may contain duplicates)
  • Total dependent repositories: 6
    (may contain duplicates)
  • Total versions: 48
  • Total maintainers: 1
pypi.org: spm1d

One-Dimensional Statistical Parametric Mapping

  • Versions: 47
  • Dependent Packages: 3
  • Dependent Repositories: 6
  • Downloads: 3,506 Last month
  • Docker Downloads: 75
Rankings
Docker downloads count: 3.0%
Dependent packages count: 3.2%
Average: 5.9%
Dependent repos count: 6.0%
Downloads: 6.1%
Forks count: 8.2%
Stargazers count: 8.8%
Maintainers (1)
Last synced: 10 months ago
conda-forge.org: spm1d

spm1d uses Random Field Theory expectations regarding the behavior of smooth, one-dimensional Gaussian fields to make statistical inferences regarding a set of one-dimensional continua.

  • Homepage: http://www.spm1d.org/
  • License: GPL-3.0-or-later
  • Latest release: 0.4.0
    published almost 4 years ago
  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 0
Rankings
Dependent repos count: 34.0%
Forks count: 36.7%
Stargazers count: 37.3%
Average: 39.8%
Dependent packages count: 51.2%
Last synced: 11 months ago

Dependencies

.github/workflows/master-push-pypi.yml actions
  • actions/checkout v3 composite
  • actions/setup-python v3 composite
setup.py pypi
  • numpy *