Python library for modeling aviation climate impacts

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Project description

pycontrails

Python library for modeling aviation climate impacts


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pycontrails is an open source project and Python package for modeling aircraft contrails and other aviation related climate impacts.

pycontrails defines common data structures and interfaces to efficiently build and run models of aircraft performance, emissions, and radiative forcing.

Documentation

Documentation and examples available at py.contrails.org.

Install

Install with pip

You can install pycontrails from PyPI with pip (Python 3.10 or later required):

$ pip install pycontrails

# install with all optional dependencies
$ pip install "pycontrails[complete]"

Install the latest development version directly from GitHub:

pip install git+https://github.com/contrailcirrus/pycontrails.git

Install with conda

You can install pycontrails from the conda-forge channel with conda (or other conda-like package managers such as mamba):

conda install -c conda-forge pycontrails

The conda-forge package includes all optional runtime dependencies.

See more installation options in the install documentation.

Get Involved

Ask questions, discuss models, and present ideas in GitHub Discussions.
Report bugs or suggest changes in GitHub Issues.
Review the contributing guidelines and contribute improvements as Pull Requests.

License

Apache License 2.0

Additional attributions in NOTICE.

Project details

These details have not been verified by PyPI

Project links

Release history Release notifications | RSS feed

0.54.2

Oct 16, 2024

0.54.1

Oct 8, 2024

This version

0.54.0

Sep 16, 2024

0.53.1

Aug 21, 2024

0.53.0

Aug 13, 2024

0.52.3

Aug 8, 2024

0.52.2

Aug 1, 2024

0.52.1

Jul 8, 2024

0.52.0

Jun 18, 2024

0.51.2

Jun 7, 2024

0.51.1

Jun 1, 2024

0.51.0

May 23, 2024

0.50.2

Apr 17, 2024

0.50.1

Apr 8, 2024

0.50.0

Mar 15, 2024

0.49.5

Feb 27, 2024

0.49.4

Feb 26, 2024

0.49.3

Feb 2, 2024

0.49.2

Jan 19, 2024

0.49.1

Dec 7, 2023

0.49.0

Nov 21, 2023

0.48.1

Nov 2, 2023

0.48.0

Oct 24, 2023

0.47.3

Oct 20, 2023

0.47.2

Sep 28, 2023

0.47.1

Sep 8, 2023

0.47.0

Aug 25, 2023

0.46.0

Aug 16, 2023

0.45.0

Jul 18, 2023

0.44.2

Jul 13, 2023

0.44.1

Jun 30, 2023

0.44.0

Jun 23, 2023

0.43.0

Jun 23, 2023

0.42.2

May 22, 2023

0.42.0

Apr 28, 2023

0.41.0

Apr 27, 2023

0.40.1

Apr 17, 2023

0.40.0

Apr 15, 2023

0.39.6

Apr 13, 2023

0.39.5

Mar 28, 2023

0.39.4

Mar 28, 2023

0.39.3

Mar 27, 2023

0.39.2

Mar 27, 2023

0.1.0

Sep 30, 2021

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