Skip to main content

Python software for CGS MAGE and other Kaiju models

Project description

README

Kaipy is a Python package for analysis and visualization of simulation results from a scientific software package Kaiju. Kaiju includes the Multiscale Atmosphere-Geospace Environment (MAGE) model developed by the NASA DRIVE Center for Geospace Storms as well as other scientific software for simulation of heliospheric environments such as planetary magnetospheres and the solar wind.

Documentation

Current documentation for this package available via our Read The Docs website.

License

Kaipy is distributed under the BSD 3-Clause license.

What is this repository for?

This repository provides access to the source code used to implement the kaipy python package. The package is mostly commonly installed via pip from https://pypi.org/project/kaipy/.

How do I get set up?

  • pip install kaipy.

Contribution guidelines

  • All contributions should be made by forking this repository and submitting a pull request.

Who do I talk to?

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

kaipy-1.0.7.tar.gz (307.2 kB view details)

Uploaded Source

Built Distribution

kaipy-1.0.7-py3-none-any.whl (368.9 kB view details)

Uploaded Python 3

File details

Details for the file kaipy-1.0.7.tar.gz.

File metadata

  • Download URL: kaipy-1.0.7.tar.gz
  • Upload date:
  • Size: 307.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.8.19

File hashes

Hashes for kaipy-1.0.7.tar.gz
Algorithm Hash digest
SHA256 1996d49539beffcb25ea58ff6445aae276795822a968e5dc49e8a7597b65a18c
MD5 40ad8d52efcc791a533ee3a305fa40a1
BLAKE2b-256 9fecfc4a285854cd737f36c5058c4dccc92f247239bd5e2ba609f5382b026eb5

See more details on using hashes here.

File details

Details for the file kaipy-1.0.7-py3-none-any.whl.

File metadata

  • Download URL: kaipy-1.0.7-py3-none-any.whl
  • Upload date:
  • Size: 368.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.8.19

File hashes

Hashes for kaipy-1.0.7-py3-none-any.whl
Algorithm Hash digest
SHA256 4a6acd07da2c6d69310917ea32ad1624562716f1842e2bf4872968e3c9a2f97f
MD5 236066d76329fee01cb44d247a47ee53
BLAKE2b-256 a8c501b8fd573bacd1d39eb617fcc82d6af577e3436fa23e22a1109e56abc72e

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page