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Open Source Science

https://github.com/drsteve/pyforecasttools

Forecast Verification/Validation Tools in Python

https://github.com/drsteve/pyforecasttools

Science Score: 46.0%

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
  • ✓
    DOI references
    Found 3 DOI reference(s) in README
  • ✓
    Academic publication links
    Links to: zenodo.org
  • ✓
    Committers with academic emails
    2 of 5 committers (40.0%) from academic institutions
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (14.1%) to scientific vocabulary

Keywords

contingency-table forecast-verification model-validation python python-3 statistics

Keywords from Contributors

coordinates batsrus cdf swmf magnetosphere space-physics
Last synced: 5 months ago · JSON representation

Repository

Forecast Verification/Validation Tools in Python

Basic Info
  • Host: GitHub
  • Owner: drsteve
  • License: bsd-3-clause
  • Language: Python
  • Default Branch: master
  • Homepage:
  • Size: 385 KB
Statistics
  • Stars: 35
  • Watchers: 5
  • Forks: 11
  • Open Issues: 4
  • Releases: 4
Topics
contingency-table forecast-verification model-validation python python-3 statistics
Created over 8 years ago · Last pushed almost 3 years ago
Metadata Files
Readme Changelog License

README.md

PyForecastTools

DOI Build Status

A Python module to provide model validation and forecast verification tools, including a set of convenient plot functions. A selection of capabilites provided by PyForecastTools includes: * Accuracy and bias metrics for continuous predictands - Unscaled/absolute measures - Relative measures - Scaled measures * 2x2 and NxN contingency table classes - Wide range of contingency table metrics and scores - Multiple methods of calculating confidence intervals on scores * Convenient plotting for visually comparing models and data - Quantile-Quantile plots - Taylor diagrams - ROC curves - Reliability diagrams

The module builds on the scientific Python stack (Python, Numpy, MatPlotLib) and uses the dmarray class from SpacePy's datamodel.

SpacePy is available through the Python Package Index, MacPorts, and is under version control at github.com/spacepy/spacepy If SpacePy is not available a reduced functionality implementation of the class is provided with this package.

PyForecastTools is available through the Python Package Index and can be installed simply with

pip install PyForecastTools --user

To install (local user), run

python setup.py install --user

After installation, the module can then be imported (within a Python script or interpreter) by

import verify

For help, please see the docstrings for each function and/or class.

Additional documentation is under development using Github pages at drsteve.github.io/PyForecastTools, and source for this is in the docs folder.

Owner

  • Name: Steve Morley
  • Login: drsteve
  • Kind: user

"Programming is easy like riding a bike. Except the bike is on fire and you're on fire and everything is on fire and you're actually in hell" - Matic Jurglič

GitHub Events

Total
  • Watch event: 3
Last Year
  • Watch event: 3

Committers

Last synced: almost 3 years ago

All Time
  • Total Commits: 85
  • Total Committers: 5
  • Avg Commits per committer: 17.0
  • Development Distribution Score (DDS): 0.341
Top Committers
Name Email Commits
Steve Morley s****y@l****v 56
Steve Morley s****y@g****m 13
Angeline G. Burrell a****l@n****l 10
Steve Morley d****e@u****m 5
Brian Larsen b****n@l****v 1
Committer Domains (Top 20 + Academic)
lanl.gov: 2 nrl.navy.mil: 1

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 9
  • Total pull requests: 4
  • Average time to close issues: about 1 month
  • Average time to close pull requests: 2 days
  • Total issue authors: 4
  • Total pull request authors: 3
  • Average comments per issue: 1.44
  • Average comments per pull request: 1.25
  • Merged pull requests: 4
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • drsteve (5)
  • aburrell (2)
  • jklenzing (1)
  • balarsen (1)
Pull Request Authors
  • aburrell (2)
  • drsteve (1)
  • balarsen (1)
Top Labels
Issue Labels
enhancement (2) documentation (2) help wanted (1)
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 80 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 1
  • Total versions: 2
  • Total maintainers: 1
pypi.org: pyforecasttools

Model validation and forecast verification tools

  • Versions: 2
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Downloads: 80 Last month
Rankings
Dependent packages count: 10.0%
Forks count: 10.5%
Stargazers count: 11.9%
Average: 15.9%
Dependent repos count: 21.7%
Downloads: 25.2%
Maintainers (1)
drsteve
Last synced: 6 months ago

Dependencies

requirements.txt pypi
  • matplotlib *
  • numpy *
setup.py pypi
  • matplotlib *
  • numpy *
.github/workflows/ci.yml actions
  • actions/checkout v2 composite
  • actions/setup-python v2 composite