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py-smps

Python package for analyzing and visualizing size-resolved aerosol data from a variety of aerosol sizing instruments.
https://github.com/quant-aq/py-smps

Category: Atmosphere
Sub Category: Atmospheric Chemistry and Aerosol

Keywords

aerosol atmospheric-science chemistry mit science

Last synced: about 12 hours ago
JSON representation

Repository metadata

Python library for the analysis and visualization of data from a Scanning Mobility Particle Sizer (SMPS) and other similar instruments (SEMS, OPC's).

README.md

PyPI version
License: MIT
Coverage Status
ci.tests

py-smps

py-smps is a Python data analysis library built for analyzing size-resolved aerosol data from a variety of aerosol sizing instruments (e.g., Scanning Mobility Particle Sizer, Optical Particle Counters).

NOTE: As of v1.2.0, the library is compatible with Apple silicone (M1, M2 chips).

Installation

Official releases of py-smps can be installed from PyPI:

$ pip install py-smps [--upgrade]

If you'd like the latest pre-release:

$ pip install py-smps --pre [--upgrade]

To install the edge release directly from GitHub:

pip install git+https://github.com/quant-aq/py-smps.git

Dependencies

Supported Python versions

  • Python 3.8+

Mandatory Dependencies

The full list of dependencies can be found in the pyproject.toml file.

Development

Testing

Tests can be run by issuing the following command from within the main repo:

$ poetry run pytest -s tests/ --ignore=tests/datafiles

Contributing to Development

We welcome all contributions from the community in the form of issues reporting, feature requests, bug fixes, etc.

If there is a feature you would like to see or a bug you would like to report, please open an issue. We will try to get to things as promptly as possible. Otherwise, feel free to send PR's!

Contributors

Documentation

Documentation is available here. To build locally, you must first install pandoc. Docs are built using Sphinx and can be built locally by doing the following:

# Activate the virtualenv
$ poetry shell

# Build the docs
$ cd docs/
$ make clean
$ make html
$ cd ..

Then, you can navigate to your local directory at docs/build/html/ and open up the index.html file in your preferred browser window.


Owner metadata


GitHub Events

Total
Last Year

Committers metadata

Last synced: 7 days ago

Total Commits: 184
Total Committers: 7
Avg Commits per committer: 26.286
Development Distribution Score (DDS): 0.587

Commits in past year: 43
Committers in past year: 2
Avg Commits per committer in past year: 21.5
Development Distribution Score (DDS) in past year: 0.116

Name Email Commits
David H. Hagan d****n@q****m 76
David H Hagan d****d@d****m 74
Ben Thompson 4****s 23
Joe Palmo j****1@a****u 4
Ben Thompson T****n@g****m 3
David H Hagan d****n@m****u 3
Adam Ruszkowski a****i@g****m 1

Committer domains:


Issue and Pull Request metadata

Last synced: 1 day ago

Total issues: 30
Total pull requests: 43
Average time to close issues: 10 months
Average time to close pull requests: about 1 month
Total issue authors: 6
Total pull request authors: 7
Average comments per issue: 1.03
Average comments per pull request: 0.47
Merged pull request: 29
Bot issues: 0
Bot pull requests: 11

Past year issues: 1
Past year pull requests: 2
Past year average time to close issues: N/A
Past year average time to close pull requests: 37 minutes
Past year issue authors: 1
Past year pull request authors: 1
Past year average comments per issue: 0.0
Past year average comments per pull request: 0.0
Past year merged pull request: 2
Past year bot issues: 0
Past year bot pull requests: 0

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/quant-aq/py-smps

Top Issue Authors

  • dhhagan (23)
  • varsh2829 (3)
  • Ethan-Barber (1)
  • baccandr (1)
  • gibbsAydan (1)
  • csalguer05 (1)

Top Pull Request Authors

  • dhhagan (27)
  • dependabot[bot] (10)
  • BenjiStomps (2)
  • asongtoruin (1)
  • joepalmo (1)
  • rxward (1)
  • allcontributors[bot] (1)

Top Issue Labels

  • enhancement (13)
  • bug (9)
  • help wanted (2)
  • Hacktoberfest (2)
  • wontfix (1)

Top Pull Request Labels

  • dependencies (10)
  • enhancement (8)
  • docs (1)
  • bug (1)

Package metadata

pypi.org: py-smps

A simple python library to import and visualize data from particle sizing instruments.

  • Homepage: https://github.com/quant-aq/py-smps
  • Documentation: https://py-smps.readthedocs.io/
  • Licenses: MIT
  • Latest release: 2.0.0 (published about 3 years ago)
  • Last Synced: 2025-04-25T14:03:05.492Z (1 day ago)
  • Versions: 9
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Downloads: 362 Last month
  • Rankings:
    • Dependent packages count: 7.373%
    • Forks count: 10.557%
    • Stargazers count: 12.203%
    • Average: 18.053%
    • Dependent repos count: 22.233%
    • Downloads: 37.898%
  • Maintainers (1)

Dependencies

poetry.lock pypi
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  • setuptools-scm 6.4.2
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  • statsmodels 0.12.2
  • tomli 2.0.1
  • urllib3 1.26.8
pyproject.toml pypi
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  • joblib ^1.0.0
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  • python >=3.7.1
  • requests ^2.24.0
  • scipy >=1.5.2
  • seaborn >=0.10.1
  • statsmodels ^0.12.0
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Score: 11.714265027599945