particula

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

https://github.com/uncscode/particula

Science Score: 44.0%

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

  • CITATION.cff file
    Found 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
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (7.6%) to scientific vocabulary

Keywords

aerosol atmosphere model package particle research science simulation

Keywords from Contributors

tide embedded meshes diffusion interactive transformation generic charts cryptocurrencies hydrology
Last synced: 6 months ago · JSON representation ·

Repository

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

Basic Info
Statistics
  • Stars: 11
  • Watchers: 0
  • Forks: 10
  • Open Issues: 7
  • Releases: 32
Topics
aerosol atmosphere model package particle research science simulation
Created over 4 years ago · Last pushed 8 months ago
Metadata Files
Readme License Citation Codeowners

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:

bash pip install particula

Or install via conda:

conda install -c conda-forge particula

Owner

  • Name: uncscode
  • Login: uncscode
  • Kind: organization

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

GitHub Events

Total
  • Create event: 260
  • Release event: 8
  • Issues event: 171
  • Watch event: 4
  • Delete event: 222
  • Issue comment event: 402
  • Push event: 1,440
  • Pull request review comment event: 345
  • Pull request review event: 416
  • Pull request event: 259
Last Year
  • Create event: 260
  • Release event: 8
  • Issues event: 171
  • Watch event: 4
  • Delete event: 222
  • Issue comment event: 402
  • Push event: 1,440
  • Pull request review comment event: 345
  • Pull request review event: 416
  • Pull request event: 259

Committers

Last synced: over 1 year ago

All Time
  • Total Commits: 511
  • Total Committers: 9
  • Avg Commits per committer: 56.778
  • Development Distribution Score (DDS): 0.434
Past Year
  • Commits: 300
  • Committers: 6
  • Avg Commits per committer: 50.0
  • Development Distribution Score (DDS): 0.077
Top Committers
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

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 199
  • Total pull requests: 445
  • Average time to close issues: 23 days
  • Average time to close pull requests: 4 days
  • Total issue authors: 6
  • Total pull request authors: 7
  • Average comments per issue: 0.46
  • Average comments per pull request: 1.72
  • Merged pull requests: 364
  • Bot issues: 2
  • Bot pull requests: 78
Past Year
  • Issues: 124
  • Pull requests: 294
  • Average time to close issues: 12 days
  • Average time to close pull requests: 2 days
  • Issue authors: 4
  • Pull request authors: 4
  • Average comments per issue: 0.31
  • Average comments per pull request: 2.12
  • Merged pull requests: 234
  • Bot issues: 2
  • Bot pull requests: 15
Top Authors
Issue Authors
  • Gorkowski (148)
  • ngam (31)
  • mahf708 (16)
  • ngmahfouz (4)
  • wkchuang (3)
  • sourcery-ai[bot] (2)
Pull Request Authors
  • Gorkowski (340)
  • dependabot[bot] (65)
  • ngam (36)
  • sourcery-ai[bot] (25)
  • mahf708 (15)
  • wkchuang (6)
  • ngmahfouz (5)
Top Labels
Issue Labels
enhancement (77) bug (43) sourcery-ai (13) no-issue-activity (12) documentation (12) .data (10) next (4) analysis (4) .Lagrangian (4) Tests (3) wait (2) .equilibria (2) question (2) release (1) .activity (1) particlephase (1)
Pull Request Labels
enhancement (69) dependencies (67) documentation (66) github_actions (65) codex (57) next (19) Refactor (17) bug (15) Tests (15) release (9) no-pr-activity (6) .data (3) .Lagrangian (3) packaging (3) analysis (1)

Packages

  • Total packages: 2
  • Total downloads:
    • pypi 900 last-month
  • Total dependent packages: 1
    (may contain duplicates)
  • Total dependent repositories: 1
    (may contain duplicates)
  • Total versions: 42
  • Total maintainers: 1
pypi.org: particula

a simple, fast, and powerful particle simulator

  • Versions: 31
  • Dependent Packages: 1
  • Dependent Repositories: 1
  • Downloads: 900 Last month
Rankings
Dependent packages count: 4.7%
Average: 13.4%
Downloads: 13.7%
Dependent repos count: 21.7%
Maintainers (1)
Last synced: 6 months ago
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.

  • Versions: 11
  • Dependent Packages: 0
  • Dependent Repositories: 0
Rankings
Dependent repos count: 34.0%
Average: 48.8%
Dependent packages count: 51.2%
Forks count: 51.6%
Stargazers count: 58.4%
Last synced: 6 months ago

Dependencies

.github/workflows/book.yml actions
  • actions/checkout v3 composite
  • actions/setup-python v4.5.0 composite
  • peaceiris/actions-gh-pages v3.9.2 composite
.github/workflows/lint.yml actions
  • actions/checkout v3 composite
  • actions/setup-python v4.5.0 composite
.github/workflows/pypi.yml actions
  • actions/checkout v3 composite
  • actions/setup-python v4.5.0 composite
  • pypa/gh-action-pypi-publish c7f29f7adef1a245bd91520e94867e5c6eedddcc composite
.github/workflows/stale.yml actions
  • actions/stale v7 composite
.github/workflows/test.yml actions
  • actions/checkout v3 composite
  • actions/setup-python v4.5.0 composite
.devcontainer/Dockerfile docker
  • mcr.microsoft.com/vscode/devcontainers/python latest build
pyproject.toml pypi
  • hypersolver ==0.0.8
  • numpy *
  • pint *
  • scipy *