Particula

An Python-based aerosol simulator. Particula captures gas-particle interactions, transformations, and dynamics to power predictive aerosol science.
https://github.com/uncscode/particula

Category: Atmosphere
Sub Category: Atmospheric Chemistry and Aerosol

Keywords

aerosol atmosphere model package particle research science simulation

Keywords from Contributors

measur observation generic transforms projection training archiving feature-flags feature-toggles annotation

Last synced: about 22 hours ago
JSON representation

Repository metadata

Particula is an open-source, Python-based aerosol simulator. Particula captures gas-particle interactions, transformations, and dynamics to power predictive aerosol science.

readme.md

Overview

Particula is a Python-based aerosol particle simulator. Its goal is to provide a robust aerosol simulation (including both gas and particle phases) that can be used to answer scientific questions arising from experiments and research endeavors.

The Particula website https://uncscode.github.io/particula contains the API reference, how-to guides, and tutorials.

PyPI Installation

If your Python environment is already set up, you can install particula via pip using the following command:

pip install particula

Or install via conda:

conda install -c conda-forge particula

Citation (citation)

# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!

cff-version: 1.2.0
title: Particula
message: >-
  If you use this software, please cite it using the
  metadata from this file.
type: software
authors:
  - given-names: Particula
    family-names: Developers
doi: 10.5281/zenodo.6634653
repository-code: 'https://github.com/uncscode/particula'
url: 'https://uncscode.github.io/particula/'
license: MIT

Owner metadata


GitHub Events

Total
Last Year

Committers metadata

Last synced: about 1 year ago

Total Commits: 511
Total Committers: 9
Avg Commits per committer: 56.778
Development Distribution Score (DDS): 0.434

Commits in past year: 300
Committers in past year: 6
Avg Commits per committer in past year: 50.0
Development Distribution Score (DDS) in past year: 0.077

Name Email Commits
Kyle Gorkowski k****w@g****m 289
ngam 6****m 148
dependabot[bot] 4****] 49
wkc w****g@g****m 7
sourcery-ai[bot] 5****] 6
Gorkowski g****e@g****m 5
Naser Mahfouz 1****z 5
Akshay Kumar a****0@g****m 1
Sourcery AI 1

Committer domains:


Issue and Pull Request metadata

Last synced: 3 days ago

Total issues: 199
Total pull requests: 322
Average time to close issues: 23 days
Average time to close pull requests: 5 days
Total issue authors: 6
Total pull request authors: 7
Average comments per issue: 0.56
Average comments per pull request: 1.73
Merged pull request: 280
Bot issues: 2
Bot pull requests: 74

Past year issues: 124
Past year pull requests: 171
Past year average time to close issues: 16 days
Past year average time to close pull requests: 3 days
Past year issue authors: 4
Past year pull request authors: 4
Past year average comments per issue: 0.48
Past year average comments per pull request: 2.43
Past year merged pull request: 149
Past year bot issues: 2
Past year bot pull requests: 13

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

Top Issue Authors

  • Gorkowski (142)
  • ngam (31)
  • mahf708 (17)
  • ngmahfouz (4)
  • wkchuang (3)
  • sourcery-ai[bot] (2)

Top Pull Request Authors

  • Gorkowski (187)
  • dependabot[bot] (50)
  • ngam (36)
  • sourcery-ai[bot] (24)
  • mahf708 (17)
  • ngmahfouz (5)
  • wkchuang (3)

Top Issue Labels

  • enhancement (74)
  • bug (40)
  • sourcery-ai (16)
  • no-issue-activity (15)
  • documentation (15)
  • .data (10)
  • next (4)
  • analysis (4)
  • .Lagrangian (4)
  • Tests (4)
  • wait (2)
  • .equilibria (2)
  • question (2)
  • release (1)
  • .activity (1)
  • particlephase (1)

Top Pull Request Labels

  • dependencies (50)
  • github_actions (50)
  • enhancement (36)
  • documentation (35)
  • codex (33)
  • next (11)
  • Refactor (10)
  • bug (8)
  • Tests (7)
  • release (6)
  • no-pr-activity (5)
  • .Lagrangian (3)
  • .data (2)
  • packaging (2)
  • analysis (1)

Package metadata

pypi.org: particula

a simple, fast, and powerful particle simulator

  • Homepage:
  • Documentation: https://particula.readthedocs.io/
  • Licenses: MIT License
  • Latest release: 0.2.5 (published 2 months ago)
  • Last Synced: 2025-06-28T05:30:39.859Z (2 days ago)
  • Versions: 30
  • Dependent Packages: 1
  • Dependent Repositories: 1
  • Downloads: 3,497 Last month
  • Rankings:
    • Dependent packages count: 4.736%
    • Average: 13.362%
    • Downloads: 13.693%
    • Dependent repos count: 21.657%
  • Maintainers (1)
conda-forge.org: particula

Particula is a Python-based aerosol particle simulator. Its goal is to provide a robust aerosol simulation (including both gas and particle phases) that can be used to answer scientific questions arising from experiments and research endeavors.

  • Homepage: https://uncscode.github.io/particula
  • Licenses: MIT
  • Latest release: 0.0.12 (published over 2 years ago)
  • Last Synced: 2025-06-28T05:30:51.939Z (2 days ago)
  • Versions: 11
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Rankings:
    • Dependent repos count: 34.025%
    • Average: 48.811%
    • Dependent packages count: 51.175%
    • Forks count: 51.645%
    • Stargazers count: 58.398%

Dependencies

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.github/workflows/pypi.yml actions
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  • pypa/gh-action-pypi-publish c7f29f7adef1a245bd91520e94867e5c6eedddcc composite
.github/workflows/stale.yml actions
  • actions/stale v7 composite
.github/workflows/test.yml actions
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.devcontainer/Dockerfile docker
  • mcr.microsoft.com/vscode/devcontainers/python latest build
pyproject.toml pypi
  • hypersolver ==0.0.8
  • numpy *
  • pint *
  • scipy *

Score: 13.53579665516167