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py-smps

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

https://github.com/quant-aq/py-smps

Science Score: 36.0%

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
    Found .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ✓
    Committers with academic emails
    2 of 7 committers (28.6%) from academic institutions
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (20.0%) to scientific vocabulary

Keywords

aerosol atmospheric-science chemistry mit science
Last synced: 6 months ago · JSON representation

Repository

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

Basic Info
Statistics
  • Stars: 38
  • Watchers: 6
  • Forks: 13
  • Open Issues: 8
  • Releases: 15
Topics
aerosol atmospheric-science chemistry mit science
Created about 9 years ago · Last pushed 8 months ago
Metadata Files
Readme License

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:

sh $ 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:

```sh

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

  • Name: QuantAQ
  • Login: quant-aq
  • Kind: organization
  • Email: hello@quant-aq.com
  • Location: Boston, MA

GitHub Events

Total
  • Release event: 1
  • Watch event: 6
  • Delete event: 4
  • Issue comment event: 6
  • Push event: 2
  • Pull request event: 6
  • Create event: 3
Last Year
  • Release event: 1
  • Watch event: 6
  • Delete event: 4
  • Issue comment event: 6
  • Push event: 2
  • Pull request event: 6
  • Create event: 3

Committers

Last synced: 6 months ago

All Time
  • Total Commits: 190
  • Total Committers: 7
  • Avg Commits per committer: 27.143
  • Development Distribution Score (DDS): 0.568
Past Year
  • Commits: 6
  • Committers: 1
  • Avg Commits per committer: 6.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
David H. Hagan d****n@q****m 82
David H Hagan d****d@d****m 74
Ben Thompson 4****s@u****m 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 (Top 20 + Academic)
mit.edu: 1 amherst.edu: 1 davidhhagan.com: 1 quant-aq.com: 1

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 30
  • Total pull requests: 46
  • Average time to close issues: 9 months
  • Average time to close pull requests: 3 months
  • Total issue authors: 8
  • Total pull request authors: 7
  • Average comments per issue: 1.03
  • Average comments per pull request: 0.63
  • Merged pull requests: 30
  • Bot issues: 0
  • Bot pull requests: 13
Past Year
  • Issues: 2
  • Pull requests: 3
  • Average time to close issues: 5 days
  • Average time to close pull requests: 14 days
  • Issue authors: 2
  • Pull request authors: 2
  • Average comments per issue: 1.0
  • Average comments per pull request: 1.0
  • Merged pull requests: 1
  • Bot issues: 0
  • Bot pull requests: 2
View more stats
Top Authors
Issue Authors
  • dhhagan (23)
  • gangz1204 (1)
  • varsh2829 (1)
  • Ethan-Barber (1)
  • baccandr (1)
  • gibbsAydan (1)
  • csalguer05 (1)
  • barutcan17 (1)
Pull Request Authors
  • dhhagan (31)
  • dependabot[bot] (14)
  • BenjiStomps (2)
  • asongtoruin (1)
  • joepalmo (1)
  • rxward (1)
  • allcontributors[bot] (1)
Top Labels
Issue Labels
enhancement (13) bug (9) help wanted (2) Hacktoberfest (2) wontfix (1)
Pull Request Labels
dependencies (14) enhancement (11) python (4) bug (2) docs (1)

Packages

  • Total packages: 2
  • Total downloads:
    • pypi 55 last-month
  • Total dependent packages: 0
    (may contain duplicates)
  • Total dependent repositories: 1
    (may contain duplicates)
  • Total versions: 15
  • Total maintainers: 1
proxy.golang.org: github.com/quant-aq/py-smps
  • Versions: 5
  • Dependent Packages: 0
  • Dependent Repositories: 0
Rankings
Dependent packages count: 5.4%
Average: 5.6%
Dependent repos count: 5.8%
Last synced: 6 months ago
pypi.org: py-smps

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

  • Versions: 10
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Downloads: 55 Last month
Rankings
Dependent packages count: 7.4%
Forks count: 10.6%
Stargazers count: 12.2%
Average: 18.1%
Dependent repos count: 22.2%
Downloads: 37.9%
Maintainers (1)
dhagan
Last synced: 6 months ago

Dependencies

poetry.lock pypi
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  • certifi 2021.10.8
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  • matplotlib 3.5.1
  • numpy 1.21.1
  • packaging 21.3
  • pandas 1.3.5
  • patsy 0.5.2
  • pillow 9.0.1
  • pyparsing 3.0.7
  • python-dateutil 2.8.2
  • pytz 2021.3
  • requests 2.27.1
  • scipy 1.6.1
  • seaborn 0.10.1
  • setuptools-scm 6.4.2
  • six 1.16.0
  • statsmodels 0.12.2
  • tomli 2.0.1
  • urllib3 1.26.8
pyproject.toml pypi
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  • furo ^2021.4.11-beta.34 develop
  • myst-parser ^0.17.0 develop
  • numpydoc ^1.2 develop
  • pytest ^6.0.1 develop
  • pytest-coverage ^0.0 develop
  • sphinx ^3.2.1 develop
  • sphinx-copybutton ^0.5.0 develop
  • toml ^0.10.1 develop
  • joblib ^1.0.0
  • numpy >=1.19.1
  • pandas >=1.2.4
  • python >=3.7.1
  • requests ^2.24.0
  • scipy >=1.5.2
  • seaborn >=0.10.1
  • statsmodels ^0.12.0
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