Thermofeel
A library to calculate human thermal comfort indexes.
https://github.com/ecmwf/thermofeel
Category: Consumption
Sub Category: Buildings and Heating
Keywords from Contributors
weather-forecasting cold heat thermal-confort grib bufr meteorology wmo earth-science odb
Last synced: about 21 hours ago
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Repository metadata
thermofeel is a library to calculate human thermal comfort indexes
- Host: GitHub
- URL: https://github.com/ecmwf/thermofeel
- Owner: ecmwf
- License: apache-2.0
- Created: 2021-06-17T15:52:26.000Z (over 4 years ago)
- Default Branch: develop
- Last Pushed: 2025-12-05T11:40:22.000Z (19 days ago)
- Last Synced: 2025-12-12T13:38:51.376Z (12 days ago)
- Language: Python
- Homepage: https://thermofeel.readthedocs.io
- Size: 14.8 MB
- Stars: 85
- Watchers: 18
- Forks: 19
- Open Issues: 0
- Releases: 20
-
Metadata Files:
- Readme: README.rst
- Changelog: ChangeLog.rst
- Contributing: CONTRIBUTING.rst
- License: LICENSE
- Citation: CITATION.bib
README.rst
.. image:: https://raw.githubusercontent.com/ecmwf/thermofeel/master/thermofeel.png
:width: 600
:alt: thermofeel logo
|license| |tag_release| |docs| |ci|
**thermofeel** (pronounced *thermo-feel*)
A library to calculate human thermal comfort indexes.
Currently calculates the thermal indexes:
* Universal Thermal Climate Index
* Apparent Temperature
* Heat Index Adjusted
* Heat Index Simplified
* Humidex
* Normal Effective Temperature
* Wet Bulb Globe Temperature
* Wet Bulb Globe Temperature Simple
* Wind Chill
In support of the above indexes, it also calculates:
* Globe Temperature
* Mean Radiant Temperature
* Mean Radiant Temperature from Globe Temperature
* Relative Humidity Percentage
* Saturation vapour pressure
* Wet Bulb Temperature
PyPi
====
|pypi_status| |pypi_release| |pypi_downloads| |code_size|
Install with::
$ pip install thermofeel
System dependencies
===================
thermofeel core functions depend on:
* numpy
Optionally, thermofeel depends on:
* pytest - for unit testing
Release notes
=============
Thermofeel 2.0 brings a number of changes to the underlying code but most importantly to the API.
Consequently, downstream packages using thermofeel 1.* will require code changes to migrate to version 2.0 and beyond.
The main changes are:
* standardisation of input and output variables
* standardisation of variable names
* removal of dependency on numba for code acceleration
* removal of solar zenith angle calculation (now provided by earthkit-meteo)
* several bug fixes and improvements
Please consult ChangeLog_ for more details.
.. _ChangeLog: https://github.com/ecmwf/thermofeel/blob/master/ChangeLog.rst
Contributing
============
The main repository is hosted on `GitHub `_. Testing, bug reports and contributions are highly welcomed and appreciated.
Please see the Contributing_ document for the best way to help.
.. _Contributing: https://github.com/ecmwf/thermofeel/blob/master/CONTRIBUTING.rst
Current developers:
- Claudia Di Napoli - `ECMWF `_
- Tiago Quintino - `ECMWF `_
See also the `contributors `_ for a more complete list.
License
=======
Copyright 2021 European Centre for Medium-Range Weather Forecasts (ECMWF)
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
In applying this licence, ECMWF does not waive the privileges and immunities
granted to it by virtue of its status as an intergovernmental organisation nor
does it submit to any jurisdiction.
Citing
======
In publications, please use our paper in SoftwareX as the main citation for **thermofeel**:
Brimicombe, C., Di Napoli, C., Quintino, T., Pappenberger, F., Cornforth, R., & Cloke, H. L. (2022).
Thermofeel: A python thermal comfort indices library. SoftwareX, 18, 101005.
https://doi.org/10.1016/j.softx.2022.101005
To cite **thermofeel** the code currently please use:
Brimicombe, C., Di Napoli, C., Quintino, T., Pappenberger, F., Cornforth, R., & Cloke, H. L. (2021).
*thermofeel: a python thermal comfort indices library* https://doi.org/10.21957/mp6v-fd16
Acknowledgements
================
Past and current funding and support for **thermofeel** is listed in the adjoning Acknowledgements_
.. _Acknowledgements: https://github.com/ecmwf/thermofeel/blob/master/ACKNOWLEDGEMENTS.rst
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:target: https://github.com/ecmwf/thermofeel
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:target: https://codecov.io/gh/ecmwf/thermofeel
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.. |docs| image:: https://readthedocs.org/projects/thermofeel/badge/?version=latest
:target: https://thermofeel.readthedocs.io/en/latest/?badge=latest
Citation (CITATION.bib)
@article{brimicombe2022thermofeel,
title={Thermofeel: A python thermal comfort indices library},
author={Brimicombe, Chloe and Di Napoli, Claudia and Quintino, Tiago and Pappenberger, Florian and Cornforth, Rosalind and Cloke, Hannah L},
journal={SoftwareX},
volume={18},
pages={101005},
year={2022},
publisher={Elsevier},
url={https://doi.org/10.1016/j.softx.2022.101005},
doi={10.1016/j.softx.2022.101005},
}
Owner metadata
- Name: European Centre for Medium-Range Weather Forecasts
- Login: ecmwf
- Email: Software.Support@ecmwf.int
- Kind: organization
- Description: Providing software to work with meteorological data and services
- Website: www.ecmwf.int
- Location: Shinfield Park, Reading, United Kingdom
- Twitter:
- Company:
- Icon url: https://avatars.githubusercontent.com/u/6368067?v=4
- Repositories: 44
- Last ynced at: 2023-03-02T03:00:24.789Z
- Profile URL: https://github.com/ecmwf
GitHub Events
Total
- Create event: 4
- Commit comment event: 1
- Release event: 2
- Watch event: 13
- Issue comment event: 2
- Push event: 15
- Pull request review event: 1
- Pull request event: 6
Last Year
- Create event: 2
- Commit comment event: 1
- Release event: 1
- Watch event: 7
- Push event: 10
- Pull request review event: 1
- Pull request event: 3
Committers metadata
Last synced: 3 days ago
Total Commits: 449
Total Committers: 11
Avg Commits per committer: 40.818
Development Distribution Score (DDS): 0.354
Commits in past year: 14
Committers in past year: 4
Avg Commits per committer in past year: 3.5
Development Distribution Score (DDS) in past year: 0.429
| Name | Commits | |
|---|---|---|
| Tiago Quintino | t****o@e****t | 290 |
| chlobrim | 8****m | 130 |
| Claudia Di Napoli | c****i@e****t | 11 |
| Dusan Vuckovic | d****c@e****t | 8 |
| Milana Vuckovic | m****c@e****t | 2 |
| Milan K | m****r@g****e | 2 |
| Iain Russell | 4****l | 2 |
| Pedro Maciel | P****l@e****t | 1 |
| Claudio Iacopino | C****o@e****t | 1 |
| Christopher Barnard | C****d@e****t | 1 |
| Sateesh Masabathini | m****s@K****A | 1 |
Committer domains:
- ecmwf.int: 7
- kw61242.kaust.edu.sa: 1
- gmx.de: 1
Issue and Pull Request metadata
Last synced: 15 days ago
Total issues: 4
Total pull requests: 12
Average time to close issues: about 1 year
Average time to close pull requests: 3 months
Total issue authors: 4
Total pull request authors: 3
Average comments per issue: 1.5
Average comments per pull request: 0.83
Merged pull request: 7
Bot issues: 0
Bot pull requests: 0
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: 7 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: 1
Past year bot issues: 0
Past year bot pull requests: 0
Top Issue Authors
- tlmquintino (1)
- oskrynyk (1)
- jarataraj (1)
- alb7 (1)
Top Pull Request Authors
- tlmquintino (9)
- 34j (2)
- C-H-Simpson (1)
Top Issue Labels
Top Pull Request Labels
Package metadata
- Total packages: 1
-
Total downloads:
- pypi: 7,308 last-month
- Total dependent packages: 0
- Total dependent repositories: 1
- Total versions: 18
- Total maintainers: 2
pypi.org: thermofeel
A library to calculate human thermal comfort indexes
- Homepage:
- Documentation: https://thermofeel.readthedocs.io/
- Licenses: Apache Software License
- Latest release: 2.1.4 (published 19 days ago)
- Last Synced: 2025-12-21T19:08:03.213Z (3 days ago)
- Versions: 18
- Dependent Packages: 0
- Dependent Repositories: 1
- Downloads: 7,308 Last month
-
Rankings:
- Dependent packages count: 7.31%
- Stargazers count: 9.155%
- Forks count: 9.37%
- Downloads: 11.375%
- Average: 11.86%
- Dependent repos count: 22.088%
- Maintainers (2)
Dependencies
- ipykernel *
- nbsphinx *
- sphinx *
- sphinx_rtd_theme *
- numba *
- numpy *
- pytest *
- numpy *
Score: 15.737681871582003