Skip to main content

A versatile seismology toolkit for Python.

Project description

Pyrocko

A seismology toolkit for Python

Build Status Anaconda-Server Badge PyPI

Installation

Pyrocko can be installed on various operating systems and in many different installation styles. Please consult the Pyrocko Installation Manual for details.

System wide installation from source

git clone https://git.pyrocko.org/pyrocko/pyrocko.git
cd pyrocko
python install.py deps system
python install.py system

User installation from source

git clone https://git.pyrocko.org/pyrocko/pyrocko.git
cd pyrocko
pip install .  # only install into isolated environments like this!

Installation with Anaconda

Anaconda3 packages are available for Linux, OSX and Windows (details).

conda install -c pyrocko pyrocko

User installation with Python pip

Binary pip packages are available for Linux and Windows (details).

pip install --user pyrocko
pip install --user --only-binary :all: PyQt5

Documentation

Documentation and usage examples are available online at https://pyrocko.org/docs/current

Community Support

Community support at https://hive.pyrocko.org.

Citation

The recommended citation for Pyrocko is: (You can find the BibTeX snippet in the CITATION file):

Heimann, Sebastian; Kriegerowski, Marius; Isken, Marius; Cesca, Simone; Daout, Simon; Grigoli, Francesco; Juretzek, Carina; Megies, Tobias; Nooshiri, Nima; Steinberg, Andreas; Sudhaus, Henriette; Vasyura-Bathke, Hannes; Willey, Timothy; Dahm, Torsten (2017): Pyrocko - An open-source seismology toolbox and library. V. 0.3. GFZ Data Services. https://doi.org/10.5880/GFZ.2.1.2017.001

DOI

License

GNU General Public License, Version 3, 29 June 2007

Copyright © 2017 Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences, Potsdam, Germany

Pyrocko is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. Pyrocko is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with this program. If not, see http://www.gnu.org/licenses/.

Contact

Helmholtz Centre Potsdam German Research Centre for Geoscienes GFZ
Section 2.1: Physics of Earthquakes and Volcanoes
Helmholtzstraße 6/7
14467 Potsdam, Germany

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

pyrocko-2025.1.21.tar.gz (2.1 MB view details)

Uploaded Source

Built Distributions

pyrocko-2025.1.21-cp313-cp313-win_amd64.whl (1.5 MB view details)

Uploaded CPython 3.13Windows x86-64

pyrocko-2025.1.21-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.2 MB view details)

Uploaded CPython 3.13manylinux: glibc 2.17+ x86-64

pyrocko-2025.1.21-cp313-cp313-macosx_10_13_universal2.whl (1.8 MB view details)

Uploaded CPython 3.13macOS 10.13+ universal2 (ARM64, x86-64)

pyrocko-2025.1.21-cp312-cp312-win_amd64.whl (1.5 MB view details)

Uploaded CPython 3.12Windows x86-64

pyrocko-2025.1.21-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.2 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.17+ x86-64

pyrocko-2025.1.21-cp312-cp312-macosx_10_13_universal2.whl (1.8 MB view details)

Uploaded CPython 3.12macOS 10.13+ universal2 (ARM64, x86-64)

pyrocko-2025.1.21-cp311-cp311-win_amd64.whl (1.5 MB view details)

Uploaded CPython 3.11Windows x86-64

pyrocko-2025.1.21-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.2 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ x86-64

pyrocko-2025.1.21-cp311-cp311-macosx_10_9_universal2.whl (1.8 MB view details)

Uploaded CPython 3.11macOS 10.9+ universal2 (ARM64, x86-64)

pyrocko-2025.1.21-cp310-cp310-win_amd64.whl (1.5 MB view details)

Uploaded CPython 3.10Windows x86-64

pyrocko-2025.1.21-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.2 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ x86-64

pyrocko-2025.1.21-cp310-cp310-macosx_10_9_universal2.whl (1.8 MB view details)

Uploaded CPython 3.10macOS 10.9+ universal2 (ARM64, x86-64)

pyrocko-2025.1.21-cp39-cp39-win_amd64.whl (1.5 MB view details)

Uploaded CPython 3.9Windows x86-64

pyrocko-2025.1.21-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.2 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ x86-64

pyrocko-2025.1.21-cp38-cp38-win_amd64.whl (1.5 MB view details)

Uploaded CPython 3.8Windows x86-64

pyrocko-2025.1.21-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.2 MB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ x86-64

File details

Details for the file pyrocko-2025.1.21.tar.gz.

File metadata

  • Download URL: pyrocko-2025.1.21.tar.gz
  • Upload date:
  • Size: 2.1 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.2

File hashes

Hashes for pyrocko-2025.1.21.tar.gz
Algorithm Hash digest
SHA256 07d6a096dc13f65be741f5b616a031df7964a693cb45fe645013c02aa4de5f93
MD5 9096bab4758112dac3fb5bbad22584f1
BLAKE2b-256 2aa894d0881324403acfb68f2d039c4776e39068a727d5437db431153502ffd3

See more details on using hashes here.

File details

Details for the file pyrocko-2025.1.21-cp313-cp313-win_amd64.whl.

File metadata

File hashes

Hashes for pyrocko-2025.1.21-cp313-cp313-win_amd64.whl
Algorithm Hash digest
SHA256 51e4779df78843d6e8f80c2dae486bee50b189a8b22839759d28d241a819bc4e
MD5 4d8d4c67f1695370c6910a2b25301312
BLAKE2b-256 de6b795fc61ea45d27489668b328258586bed05522c414779bf9d9f16248bd13

See more details on using hashes here.

File details

Details for the file pyrocko-2025.1.21-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyrocko-2025.1.21-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 006bb15ce3f225f10fbda9420e8a0d028338687b21f221a915d521c6d1901094
MD5 239be3ba47ada3333d917d65e2fef63f
BLAKE2b-256 b190ae569b8b8fc0964cef9f768bf2eb8112d116c4a6e2475e71ff8162c08cc6

See more details on using hashes here.

File details

Details for the file pyrocko-2025.1.21-cp313-cp313-macosx_10_13_universal2.whl.

File metadata

File hashes

Hashes for pyrocko-2025.1.21-cp313-cp313-macosx_10_13_universal2.whl
Algorithm Hash digest
SHA256 d5bef8b8147a189e056641f7b21f3881b14b48722640d659f6397ffabff935a9
MD5 26e2e3b9288f55c585b25ae62093f2f7
BLAKE2b-256 1b6c385246fd59ad90661277b5eb6ed45784367e02b198115534db302a0e1f42

See more details on using hashes here.

File details

Details for the file pyrocko-2025.1.21-cp312-cp312-win_amd64.whl.

File metadata

File hashes

Hashes for pyrocko-2025.1.21-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 d54ec0c003078dc842dd28b1bdab96d12efffcb8ca1a3ae16a4cfc11cda3c3c8
MD5 b04721f34bf34ba0ae23ceeb36a81f30
BLAKE2b-256 7ee352336112f0cf5c73e4aafa83a69b187688e70563439946f55b5b2a6ebe69

See more details on using hashes here.

File details

Details for the file pyrocko-2025.1.21-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyrocko-2025.1.21-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 d96d10b4bfb15c064396cc851bd1c1a315e95ccd497b80cc62bf987440ba975d
MD5 73f1d86ac696b39f6c2f8b1aa5816702
BLAKE2b-256 94f6dcd6eb066e50d0c77acca90be6c8dff0659fb200f20ea18d394a8b780387

See more details on using hashes here.

File details

Details for the file pyrocko-2025.1.21-cp312-cp312-macosx_10_13_universal2.whl.

File metadata

File hashes

Hashes for pyrocko-2025.1.21-cp312-cp312-macosx_10_13_universal2.whl
Algorithm Hash digest
SHA256 97925f52b95f931982025066be621b728e9e9ee85beaad403a910c5a9b3647e1
MD5 8125ea689ff13c370da1e67776c8158e
BLAKE2b-256 ad991f843fcdf85bcf1c45c129d6f9a8c49df62ac0b2325c448f4d04a0b567aa

See more details on using hashes here.

File details

Details for the file pyrocko-2025.1.21-cp311-cp311-win_amd64.whl.

File metadata

File hashes

Hashes for pyrocko-2025.1.21-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 a74f5a8c20b8c4a2a208787d788750c228de8f76f30c0a6b8045c07fa94f0852
MD5 791990366e0b0a58266425eed89cf89d
BLAKE2b-256 88644b4ebe6385cb88aa23b22a71394af9f7717b79f8712cd5469c4c5256fdb1

See more details on using hashes here.

File details

Details for the file pyrocko-2025.1.21-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyrocko-2025.1.21-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 42bb78de805e53610ed01a05e0b7347203ef0257a28c67e1919e8739aadbcf6a
MD5 46c967e8e855d5d377e16861353b4cb7
BLAKE2b-256 12a03b2141c6997c7269caefa1f3bfa07209e56444a25d2c1a38262a1524b13b

See more details on using hashes here.

File details

Details for the file pyrocko-2025.1.21-cp311-cp311-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for pyrocko-2025.1.21-cp311-cp311-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 704ce1bbec2ffce5cbf32a6c1a3e81d22b1ebe960090a0492da93066a787b9cb
MD5 59ac0218bae16d6a885084e32eb89162
BLAKE2b-256 633aec7dca4b6fee9a1b1f652aa88f76ca633547b6d67c29141adfa8fe3066bf

See more details on using hashes here.

File details

Details for the file pyrocko-2025.1.21-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for pyrocko-2025.1.21-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 26aae957236a7f7a3dca0ea85949b1495779ff2cf96378df075b42a047120c1d
MD5 2daa1d500c9631b4358d8dcf17ef787b
BLAKE2b-256 3a47131928f8ffc6a16ac7837e49489ff45e02cd9ae060f3d9796cdb0a77f932

See more details on using hashes here.

File details

Details for the file pyrocko-2025.1.21-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyrocko-2025.1.21-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 be6d04db8010bd970840f947b3ca2f6f5bd3bddcb73ec99e13ee8b36cac5f026
MD5 9c5f06155325e867c75803d29ff8874b
BLAKE2b-256 01b4e773f7a848c0d176f0e59701f70ec74a9f1fd95b66bb5348b1f4b0abf5f2

See more details on using hashes here.

File details

Details for the file pyrocko-2025.1.21-cp310-cp310-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for pyrocko-2025.1.21-cp310-cp310-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 719f69d68015f38dc79c8311d733b97f6f1875faf16bef9a81c6e73e035c89e8
MD5 d1aa456f9cd80e33e77fda1f6651d96f
BLAKE2b-256 d8e55027d7f77f7c3264fe8ea9584626b02f9eea365bdb4c4bba280c171c2b1c

See more details on using hashes here.

File details

Details for the file pyrocko-2025.1.21-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: pyrocko-2025.1.21-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 1.5 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.12.8

File hashes

Hashes for pyrocko-2025.1.21-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 50bc38330ad3face81e77474b0817abf95e1126dd556154d40cf5f8d42b737a8
MD5 72ad1f9c664db7663e2d0703e8064919
BLAKE2b-256 dd00f4e658720dfec65f5683d2cbc4bb3eb90ed97e7135debe1c696570e06aea

See more details on using hashes here.

File details

Details for the file pyrocko-2025.1.21-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyrocko-2025.1.21-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 3f23504c7a1580901dd844804a0f3ac4e87bb98f7d50c7b94fc85f4fb65cd619
MD5 31963743961274b40cea8527ee18ad69
BLAKE2b-256 0a104c9b010fd41896dab6c9586aae388607e5f21a55e6462d29d82746d45ddb

See more details on using hashes here.

File details

Details for the file pyrocko-2025.1.21-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: pyrocko-2025.1.21-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 1.5 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.12.8

File hashes

Hashes for pyrocko-2025.1.21-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 716d9b30e761cf650633579cbce25ab8d2b891bc766e1234ea988d7d55eb327f
MD5 ee131ffc31d9f8d01ce40344ca3a4db0
BLAKE2b-256 005dadd8b7a01cb1871e4c700bf27e0ca839dc59b63f22412f19c11ac5a86084

See more details on using hashes here.

File details

Details for the file pyrocko-2025.1.21-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyrocko-2025.1.21-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 c7ed54bfd0e212b941ae9aa643b9fe5e6898d881ebee6023ba2d764aeaf77add
MD5 e7f3994a9f70c4ca03807483a72a8487
BLAKE2b-256 de3d28dfcc9c18ac31c569d49f774a99e8fbbf4f6ba09011d7e040342ded4038

See more details on using hashes here.

Supported by

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