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particula-beta

Particula-beta development for particula and sister packages.

https://github.com/uncscode/particula-beta

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
  • ○
    Academic email domains
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (7.8%) to scientific vocabulary

Keywords

aerosol-chambers aerosol-chemistry aerosol-modelling aerosol-science aerosols microphysics
Last synced: 7 months ago · JSON representation ·

Repository

Particula-beta development for particula and sister packages.

Basic Info
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 1
  • Open Issues: 2
  • Releases: 1
Topics
aerosol-chambers aerosol-chemistry aerosol-modelling aerosol-science aerosols microphysics
Created over 1 year ago · Last pushed 11 months ago
Metadata Files
Readme License Citation Codeowners

readme.md

Overview

Particula-Beta is the development platform for the Particula package.

Installation

You can install particula-beta directly from GitHub using pip. This allows you to get the latest version of the package, even if it is not yet published on PyPI.

Install the Latest Version

To install the latest version from the main branch, run:

bash pip install git+https://github.com/uncscode/particula-beta.git

Install a Specific Branch, Tag, or Commit

If you want to install a specific version of particula-beta, you can specify a branch, tag, or commit in the installation command.

  • Install from a specific branch (e.g., dev branch): bash pip install git+https://github.com/uncscode/particula-beta.git@dev

  • Install a specific release version (e.g., v0.1.0): bash pip install git+https://github.com/uncscode/particula-beta.git@v0.1.0

  • Install from a specific commit (replace commit_hash with an actual commit hash): bash pip install git+https://github.com/uncscode/particula-beta.git@commit_hash

Verifying Installation

After installation, you can verify that particula-beta is installed correctly by running:

bash python -c "import particula_beta; print(particula_beta.__version__)"

If the package was installed successfully, this command will print the installed version of particula-beta.

Upgrading particula-beta

To upgrade to the latest version of particula-beta, use:

bash pip install --upgrade git+https://github.com/uncscode/particula-beta.git

or

bash pip install -U git+https://github.com/uncscode/particula-beta.git

If you need a specific branch, tag, or commit:

  • Upgrade to a specific branch: bash pip install -U git+https://github.com/uncscode/particula-beta.git@dev
  • Upgrade to a specific release version: bash pip install -U git+https://github.com/uncscode/particula-beta.git@v1.0.0
  • Upgrade to a specific commit: bash pip install -U git+https://github.com/uncscode/particula-beta.git@commit_hash

If the upgrade does not apply correctly, you can force a reinstall:

bash pip install --force-reinstall git+https://github.com/uncscode/particula-beta.git

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: 14
  • Release event: 1
  • Issues event: 1
  • Delete event: 9
  • Issue comment event: 18
  • Push event: 59
  • Pull request event: 24
Last Year
  • Create event: 14
  • Release event: 1
  • Issues event: 1
  • Delete event: 9
  • Issue comment event: 18
  • Push event: 59
  • Pull request event: 24

Issues and Pull Requests

Last synced: 7 months ago

All Time
  • Total issues: 1
  • Total pull requests: 10
  • Average time to close issues: 2 months
  • Average time to close pull requests: 29 days
  • Total issue authors: 1
  • Total pull request authors: 2
  • Average comments per issue: 2.0
  • Average comments per pull request: 0.6
  • Merged pull requests: 4
  • Bot issues: 0
  • Bot pull requests: 8
Past Year
  • Issues: 1
  • Pull requests: 10
  • Average time to close issues: 2 months
  • Average time to close pull requests: 29 days
  • Issue authors: 1
  • Pull request authors: 2
  • Average comments per issue: 2.0
  • Average comments per pull request: 0.6
  • Merged pull requests: 4
  • Bot issues: 0
  • Bot pull requests: 8
View more stats
Top Authors
Issue Authors
  • Gorkowski (2)
Pull Request Authors
  • dependabot[bot] (10)
  • Gorkowski (3)
Top Labels
Issue Labels
no-issue-activity (1)
Pull Request Labels
dependencies (10) github_actions (8) docker (2) no-pr-activity (2)

Dependencies

.github/workflows/lint.yml actions
  • actions/checkout v4 composite
  • actions/setup-python v5.2.0 composite
.github/workflows/mkdocs.yml actions
  • JamesIves/github-pages-deploy-action v4 composite
  • actions/checkout v4 composite
  • actions/setup-python v5.3.0 composite
  • rossjrw/pr-preview-action v1 composite
.github/workflows/pypi.yml actions
  • actions/checkout v4 composite
  • actions/setup-python v5.2.0 composite
  • pypa/gh-action-pypi-publish f7600683efdcb7656dec5b29656edb7bc586e597 composite
.github/workflows/stale.yml actions
  • actions/stale v9 composite
.github/workflows/test.yml actions
  • actions/checkout v4 composite
  • actions/setup-python v5.2.0 composite
.devcontainer/Dockerfile docker
  • mcr.microsoft.com/devcontainers/python 3.13 build
pyproject.toml pypi
  • PyMieScatt *
  • hypersolver ==0.0.8
  • matplotlib *
  • netCDF4 *
  • numpy *
  • pandas *
  • particula *
  • pint *
  • pytz *
  • scikit-learn *
  • scipy <1.14.0
  • shapely *
  • torch *
  • tqdm *