Skip to main content

pyGMM

PyPi Cheese Shop Build Status Code Quality Test Coverage License DOI

Ground motion models implemented in Python.

I have recently learned that additional ground motion models have been implemented through GEM's OpenQuake Hazardlib, which I recommend checking out.

Features

Models currently supported:

  • Akkar, Sandikkaya, & Bommer (2014) with unit tests
  • Atkinson & Boore (2006)
  • Abrahamson, Silva, & Kamai (2014) with unit tests
  • Abrahamson, Gregor, & Addo (2016) with unit tests
  • Boore, Stewart, Seyhan, & Atkinson (2014) with unit tests
  • Campbell (2003)
  • Campbell & Bozorgnia (2014) with unit tests
  • Chiou & Youngs (2014) with unit tests
  • Derras, Bard & Cotton (2013) with unit tests
  • Idriss (2014) with unit tests
  • Pezeshk, Zandieh, & Tavakoli (2001)
  • Tavakoli & Pezeshk (2005)

Conditional spectra models:

  • Baker & Jayaram (2008) with unit tests
  • Kishida (2017) with unit tests

Duration models:

  • Kempton and Stewart (2006)
  • Afshari and Stewart (2016)

Most models are tested with unit tests that test the implemention of the model.

Citation

Please cite this software using the DOI.

Contributors

  • Albert Kottke
  • Greg Lavrentiadis
  • Artie Rodgers

Download files

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

Source Distribution

pygmm-0.8.0.tar.gz (1.3 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pygmm-0.8.0-py3-none-any.whl (161.2 kB view details)

Uploaded Python 3

File details

Details for the file pygmm-0.8.0.tar.gz.

File metadata

  • Download URL: pygmm-0.8.0.tar.gz
  • Upload date:
  • Size: 1.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.8

File hashes

Hashes for pygmm-0.8.0.tar.gz
Algorithm Hash digest
SHA256 30443281c3e8c4c0af475dc4f2da5b2278315620c08cca8e8491bcba6e152ecc
MD5 d40ebc1ec9f34142689cf733e4fd044e
BLAKE2b-256 12c105e59a0676b0caad91851243174e6819808d07db59ff1b624778b63f2fd8

See more details on using hashes here.

Provenance

The following attestation bundles were made for pygmm-0.8.0.tar.gz:

Publisher: python-publish.yml on arkottke/pygmm

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file pygmm-0.8.0-py3-none-any.whl.

File metadata

  • Download URL: pygmm-0.8.0-py3-none-any.whl
  • Upload date:
  • Size: 161.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.8

File hashes

Hashes for pygmm-0.8.0-py3-none-any.whl
Algorithm Hash digest
SHA256 76e55e7bd7d4a33c98cf7254bdc4661aecdaf8332829b77fbde32e347c3ede90
MD5 39fdffacd00353398b3e24c3e0220334
BLAKE2b-256 c57b3e529b98418287efece28f03e18f7872fa549bb27ef60305f21e78107a6f

See more details on using hashes here.

Provenance

The following attestation bundles were made for pygmm-0.8.0-py3-none-any.whl:

Publisher: python-publish.yml on arkottke/pygmm

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Release history Release notifications | RSS feed

This release

0.8.0 This release

2 files

0.7.1

2 files

0.6.6

2 files

0.6.5

2 files

0.6.4

2 files

0.6.3

2 files

0.6.2

2 files

0.6.1

2 files

0.6.0

2 files

0.4.0

1 file

0.3.2

2 files

0.3.1

1 file

0.3.0

3 files

0.1.0

0.0.0

2 files

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page