pythermalcomfort

Package to calculate several thermal comfort indices (e.g. PMV, PPD, SET, adaptive) and convert physical variables.
https://github.com/pythermalcomfort/pythermalcomfort

Category: Consumption
Sub Category: Buildings and Heating

Keywords from Contributors

air-temperature comfort pmv pmv-prediction thermal-comfort

Last synced: about 17 hours ago
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Repository metadata

Package to calculate several thermal comfort indices (e.g. PMV, PPD, SET, adaptive) and convert physical variables.

• Host: GitHub
• URL: https://github.com/pythermalcomfort/pythermalcomfort
• Owner: pythermalcomfort
• License: mit
• Created: 2020-02-10T18:55:51.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2026-05-08T08:22:38.000Z (8 days ago)
• Last Synced: 2026-05-08T10:29:02.452Z (8 days ago)
• Language: Python
• Homepage: https://pythermalcomfort.readthedocs.io/en/latest/
• Size: 14.6 MB
• Stars: 210
• Watchers: 11
• Forks: 87
• Open Issues: 42
• Releases: 0
• Metadata Files:
  • Readme: README.rst
  • Changelog: CHANGELOG.rst
  • Contributing: CONTRIBUTING.rst
  • License: LICENSE
  • Code of conduct: CODE_OF_CONDUCT.md
  • Citation: CITATION.bib
  • Authors: AUTHORS.rst

README.rst

          .. image:: https://github.com/pythermalcomfort/pythermalcomfort/raw/development/docs/images/pythermalcomfort-3-short.png
  :align: center
  :alt: pythermalcomfort logo

================
pythermalcomfort
================

``pythermalcomfort`` is a Python toolkit for computing thermal comfort indices,
heat/cold stress metrics, and thermophysiological responses.
Its implementations adhere to international standards and peer-reviewed research,
offering researchers, engineers, and building scientists reliable,
standards-compliant calculations without the burden of implementing them manually.

.. important::
   When ``pythermalcomfort`` informs published work, please cite it as:

   .. code-block:: text

      Tartarini, F., Schiavon, S., 2020.
      pythermalcomfort: A Python package for thermal comfort research.
      SoftwareX 12, 100578.
      https://doi.org/10.1016/j.softx.2020.100578

Key Features
============

- **Thermal Comfort Models** – PMV/PPD, adaptive comfort assessments,
  SET, and more bundled into a single API surface.
- **Heat & Cold Stress Indices** – UTCI, Heat Index, Wind Chill, Humidex, and
  other commonly-referenced metrics.
- **Thermophysiological Modeling** – two-node (Gagge) and multinode (JOS-3)
  models for estimating core/skin temperatures and skin wettedness.
- **Standards Compliance** – Calculations based on ASHRAE 55, ISO 7730,
  EN 16798, and supporting references.
- **Vectorized Inputs** – Accepts scalars, lists, or NumPy arrays; most
  functions broadcast across input arrays automatically.
- **Pythonic API** – Simple, documented entry points that plug into analysis
  workflows and pipelines.
- **Rich Documentation** – Tutorials, examples, and reference guides for each
  supported model and index.
- **Active Development** – Frequent releases, new features, and responsive
  issue resolution.
- **Open Source** – MIT licensed and developed transparently on GitHub.

Why Choose pythermalcomfort?
============================

- **Precision** – Accurate evaluations of comfort and stress that engineers can
  trust.
- **Efficiency** – Eliminates repetitive code so teams can focus on insights,
  not implementation details.
- **Versatility** – Useful in building science, HVAC design, biometeorology,
  sports science, and thermal physiology.
- **Evidence-Based Decisions** – Supports data-driven HVAC sizing, occupant
  comfort strategies, and performance benchmarking.

Installation
============

Install from PyPI:

.. code-block:: bash

   pip install pythermalcomfort

For alternative installation instructions, including development builds and
optional dependencies, see the
`official docs `_.

Requirements
============

- Python 3.10+
- NumPy, SciPy, pandas (installed automatically)
- Optional: Matplotlib or other plotting libraries for visualizations

Quick Start
===========

A few lines are all you need to get started:

.. code-block:: python

   from pythermalcomfort.models import pmv_ppd_iso, utci

   # Calculate PMV and PPD using ISO 7730 standard
   result = pmv_ppd_iso(
       tdb=25,   # dry-bulb temperature in °C
       tr=25,    # mean radiant temperature in °C
       vr=0.1,   # relative air speed in m/s
       rh=50,    # relative humidity in %
       met=1.4,  # metabolic rate in met
       clo=0.5,  # clothing insulation in clo
       model="7730-2005",
   )
   print(f"PMV: {result.pmv}, PPD: {result.ppd}")

   # Calculate UTCI for heat stress assessment
   result = utci(tdb=30, tr=30, v=0.5, rh=50)
   print(result.utci)

   # Most functions also accept arrays for bulk calculations
   result = utci(tdb=[28, 30, 35], tr=[28, 30, 35], v=0.5, rh=50)
   print(result.utci)

For a full list of models and indices, see the
`API reference `_.

Support pythermalcomfort
========================

Maintaining an open-source scientific package takes time. You can help by:

- `Sponsoring on GitHub `_
- Submitting code, docs, or tests via a pull request
- Reporting reproducible bugs or feature requests in the
  `issue tracker `_
- Assisting with testing, translations, or PR reviews
- Starring or sharing the project to raise awareness

Contributions
=============

We welcome all contributions. Please read the
`contributing guide `_
before you start.

Quick checklist
---------------

* Open an issue when planning large changes to align on scope.
* Fork the repo and create a feature branch.
* Add or update tests for new behavior.
* Run linters/formatters and fix the reported issues.
* Update docs or the changelog when the public API changes.
* Submit clear, focused PRs with related issues linked.

Common commands
---------------

.. code-block:: bash

    # clone your fork and add upstream remote
    git clone git@github.com:your-username/pythermalcomfort.git
    cd pythermalcomfort
    git remote add upstream git@github.com:pythermalcomfort/pythermalcomfort.git
    git fetch upstream

    # create a branch and work on it
    git checkout -b Feature/awesome-feature
    tox  # run the full matrix (slow)
    tox -e py312  # run a single env
    pytest -k test_name_fragment

    # fix linting/formatting
    ruff check --fix
    ruff format
    docformatter --in-place --wrap-summaries 88 --wrap-descriptions 88 pythermalcomfort/*.py

    # commit and push
    git add .
    git commit -m "feat: short description of change"
    git push origin Feature/awesome-feature

Release process
---------------

Releases are tag-driven and published via GitHub Actions Trusted Publishing.

Production release (PyPI)
~~~~~~~~~~~~~~~~~~~~~~~~~

.. code-block:: bash

    # prepare local release branch
    git checkout master
    git pull --ff-only
    git fetch --tags --prune

    # finalize an rc to stable release
    bump-my-version bump patch     # or minor / major for a fresh release

    # publish commit and tag (tag push triggers PyPI release workflow)
    git push
    git push --tags

Pre-release (TestPyPI)
~~~~~~~~~~~~~~~~~~~~~~

Use pre-release tags from ``development`` to validate packaging before releasing
to PyPI.

.. code-block:: bash

    git checkout development
    git pull --ff-only
    git fetch --tags --prune

    # start rc cycle for next patch (creates e.g. 3.9.6rc1)
    bump-my-version bump patch

    # iterate rc builds while testing (rc1 -> rc2 -> rc3 ...)
    bump-my-version bump pre_n

    # publish commit and tag (tag push triggers TestPyPI release workflow)
    git push
    git push --tags

If additional commits are made after an ``rc`` tag, create a new pre-release
tag by running ``bump-my-version bump pre_n`` again, then push commit and tags.

Rules and safeguards:

* Keep ``.bumpversion.toml`` and git tags aligned.
* Tag format is standardized as ``vX.Y.Z`` and ``vX.Y.ZrcN``.
* Production tags must point to commits reachable from ``master``.
* TestPyPI publishing is triggered by tags matching ``v*rc*`` and those tags
  must point to commits reachable from ``development``.
* If a version exists in files but not as a tag, create and push the missing tag
  before the next bump.
* PyPI and TestPyPI publishing both use Trusted Publisher (OIDC), so no
  ``PYPI_API_TOKEN`` or ``TEST_PYPI_API_TOKEN`` secret is required.

Getting Help
============

* Open an issue on GitHub with a minimal reproduction in the
  `issue tracker `_.
* Ask questions in PR comments for implementation guidance.
* Review the
  `contribution guidelines `_
  for testing, documentation, and changelog expectations.
* Consult the API reference and examples at
  https://pythermalcomfort.readthedocs.io/en/latest/

Changelog
=========

A full list of changes per release is available in the
`CHANGELOG `_.

License
=======

``pythermalcomfort`` is released under the MIT License.

Stats
=====

.. start-badges

.. list-table::
    :stub-columns: 1

    * - Documentation
      - |docs|
    * - License
      - |license|
    * - Downloads
      - |downloads|
    * - Tests
      - | |codecov|
        | |tests|
    * - Package
      - | |version| |wheel|
        | |supported-ver|
        | |package-health|

.. |tests| image:: https://github.com/pythermalcomfort/pythermalcomfort/actions/workflows/build-test-publish.yml/badge.svg
    :target: https://github.com/pythermalcomfort/pythermalcomfort/actions/workflows/build-test-publish.yml
    :alt: Tests to ensure pythermalcomfort works on different Python versions and OS

.. |package-health| image:: https://img.shields.io/badge/Snyk_security-monitored-8A2BE2
   :target: https://security.snyk.io/package/pip/pythermalcomfort
   :alt: Snyk Security Badge

.. |license| image:: https://img.shields.io/pypi/l/pythermalcomfort?color=brightgreen
    :target: https://github.com/pythermalcomfort/pythermalcomfort/blob/master/LICENSE
    :alt: pythermalcomfort license

.. |docs| image:: https://readthedocs.org/projects/pythermalcomfort/badge/?style=flat
    :target: https://readthedocs.org/projects/pythermalcomfort
    :alt: Documentation Status

.. |downloads| image:: https://img.shields.io/pypi/dm/pythermalcomfort?color=brightgreen
    :alt: PyPI - Downloads

.. |codecov| image:: https://codecov.io/github/pythermalcomfort/pythermalcomfort/coverage.svg?branch=master
    :alt: Coverage Status
    :target: https://codecov.io/github/pythermalcomfort/pythermalcomfort

.. |version| image:: https://img.shields.io/pypi/v/pythermalcomfort.svg
    :alt: PyPI Package latest release
    :target: https://pypi.org/project/pythermalcomfort

.. |wheel| image:: https://img.shields.io/pypi/wheel/pythermalcomfort.svg
    :alt: pythermalcomfort wheel
    :target: https://pypi.org/project/pythermalcomfort

.. |supported-ver| image:: https://img.shields.io/pypi/pyversions/pythermalcomfort.svg
    :alt: Supported versions
    :target: https://pypi.org/project/pythermalcomfort

.. |supported-implementations| image:: https://img.shields.io/pypi/implementation/pythermalcomfort.svg
    :alt: Supported implementations
    :target: https://pypi.org/project/pythermalcomfort

.. end-badges

        

Citation (CITATION.bib)

@article{Tartarini2020a,
author = {Tartarini, Federico and Schiavon, Stefano},
doi = {10.1016/j.softx.2020.100578},
issn = {23527110},
journal = {SoftwareX},
month = {jul},
pages = {100578},
publisher = {Elsevier B.V.},
title = {{pythermalcomfort: A Python package for thermal comfort research}},
url = {https://doi.org/10.1016/j.softx.2020.100578 https://linkinghub.elsevier.com/retrieve/pii/S2352711020302910},
volume = {12},
year = {2020}
}

---

Owner metadata

• Name: pythermalcomfort
• Login: pythermalcomfort
• Email:
• Kind: organization
• Description:
• Website: https://pythermalcomfort.readthedocs.io/en/latest/
• Location:
• Twitter:
• Company:
• Icon url: https://avatars.githubusercontent.com/u/280882930?v=4
• Repositories: 1
• Last ynced at: 2026-05-01T09:19:03.869Z
• Profile URL: https://github.com/pythermalcomfort

---

GitHub Events

Total

• Delete event: 4
• Pull request event: 2
• Issue comment event: 9
• Push event: 10
• Pull request review event: 7
• Pull request review comment event: 8

Last Year

• Delete event: 4
• Pull request event: 2
• Issue comment event: 9
• Push event: 10
• Pull request review event: 7
• Pull request review comment event: 8

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Committers metadata

Last synced: 4 days ago

Name	Email	Commits
federico tartarini	f****i@g****m	945
AkihisaNomoto	6****o	133
royce-chen	c****i@g****m	47
Federico Tartarini	{****}	46
Twin Gan	t****n@g****m	30
Connor Forbes	c****5@g****m	20
Yehui Huang	y****d@g****m	19
Lars Buntemeyer	l****r@h****e	16
number9527-12	l****0@g****m	15
kmar0531	k****4@g****m	14
Charles Simpson	c****n@u****k	5
Jiayi Wang	j****8@u****u	5
copilot-swe-agent[bot]	1****t	4
grjonathan	j****m@r****a	4
周小希	z****i@z****l	4
Jonas Kittner	j****r@r****e	3
Tyler Hoyt	t****t@g****m	2
Lorenzo Donadio	4****o	1
benterich	1****h	1
dependabot[bot]	4****]	1
Freya Li	f****i@F****l	1
t-kramer	t****r@b****u	1

Committer domains:

• berkeley.edu: 1
• rub.de: 1
• ryerson.ca: 1
• uni.sydney.edu.au: 1
• ucl.ac.uk: 1
• hzg.de: 1

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Issue and Pull Request metadata

Last synced: 4 days ago

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/pythermalcomfort/pythermalcomfort

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Dependencies

Score: 8.62047154086974