{"id":13409758,"url":"https://github.com/quant-aq/py-smps","last_synced_at":"2025-12-24T21:06:24.763Z","repository":{"id":43755985,"uuid":"82484532","full_name":"quant-aq/py-smps","owner":"quant-aq","description":"Python library for the analysis and visualization of data from a Scanning Mobility Particle Sizer (SMPS) and other similar instruments (SEMS, 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Libraries","Atmosphere"],"sub_categories":["Atmospheric Chemistry and Aerosol"],"readme":"[![PyPI version](https://badge.fury.io/py/py-smps.svg)](https://badge.fury.io/py/py-smps)\n[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)\n[![Coverage Status](https://coveralls.io/repos/github/dhhagan/py-smps/badge.svg?branch=master)](https://coveralls.io/github/dhhagan/py-smps?branch=master)\n[![ci.tests](https://github.com/quant-aq/py-smps/actions/workflows/test-and-report.yml/badge.svg)](https://github.com/quant-aq/py-smps/actions/workflows/test-and-report.yml)\n\n\n# py-smps\n\npy-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).\n\n\n**NOTE: As of `v1.2.0`, the library is compatible with Apple silicone (M1, M2 chips).**\n\n# Installation\n\nOfficial releases of `py-smps` can be installed from [PyPI](https://pypi.org/project/py-smps/):\n\n    $ pip install py-smps [--upgrade]\n\nIf you'd like the latest pre-release:\n\n    $ pip install py-smps --pre [--upgrade]\n\nTo install the edge release directly from GitHub:\n\n    pip install git+https://github.com/quant-aq/py-smps.git\n\n# Dependencies\n\n## Supported Python versions\n- Python 3.8+\n\n## Mandatory Dependencies\n\nThe full list of dependencies can be found in the [`pyproject.toml`](pyproject.toml) file.\n\n# Development\n\n## Testing\n\nTests can be run by issuing the following command from within the main repo:\n\n```sh\n$ poetry run pytest -s tests/ --ignore=tests/datafiles\n```\n\n## Contributing to Development\n\nWe welcome all contributions from the community in the form of issues reporting, feature requests, bug fixes, etc.\n\nIf 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!\n\n### Contributors\n\n\u003c!-- ALL-CONTRIBUTORS-LIST:START - Do not remove or modify this section --\u003e\n\u003c!-- prettier-ignore-start --\u003e\n\u003c!-- markdownlint-disable --\u003e\n\n\u003c!-- markdownlint-restore --\u003e\n\u003c!-- prettier-ignore-end --\u003e\n\n\u003c!-- ALL-CONTRIBUTORS-LIST:END --\u003e\n\n\n# Documentation\n\nDocumentation is available [here](https://quant-aq.github.io/py-smps/). To build locally, you must first install [pandoc](https://pandoc.org/). Docs are built using Sphinx and can be built locally by doing the following:\n\n```sh\n# Activate the virtualenv\n$ poetry shell\n\n# Build the docs\n$ cd docs/\n$ make clean\n$ make html\n$ cd ..\n```\n\nThen, you can navigate to your local directory at `docs/build/html/` and open up the `index.html` file in your preferred browser window.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fquant-aq%2Fpy-smps","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fquant-aq%2Fpy-smps","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fquant-aq%2Fpy-smps/lists"}