Skip to main content

OpenGeoSys Python Module

Project description

OpenGeoSys 6

Modified BSD License DOI

OpenGeoSys (OGS) is a scientific open source project for the development of numerical methods for the simulation of thermo-hydro-mechanical-chemical (THMC) processes in porous and fractured media. OGS is implemented in C++, it is object-oriented with an focus on the numerical solution of coupled multi-field problems (multi-physics). Parallel versions of OGS are available relying on both MPI and OpenMP concepts. Application areas of OGS are currently CO2 sequestration, geothermal energy, water resources management, hydrology and waste deposition. OGS is comprised of the THMC-simulator (simply referred to as OGS) and a visualization tool (Data Explorer). OGS is developed by the OpenGeoSys Community.

Software development

License

OpenGeoSys is distributed under the Modified BSD License. See the LICENSE.txt for the license text.

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

ogs-6.4.4.tar.gz (3.3 MB view details)

Uploaded Source

Built Distributions

ogs-6.4.4-cp311-cp311-win_amd64.whl (49.7 MB view details)

Uploaded CPython 3.11 Windows x86-64

ogs-6.4.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (53.5 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

ogs-6.4.4-cp311-cp311-macosx_12_0_x86_64.whl (44.9 MB view details)

Uploaded CPython 3.11 macOS 12.0+ x86-64

ogs-6.4.4-cp311-cp311-macosx_12_0_arm64.whl (37.9 MB view details)

Uploaded CPython 3.11 macOS 12.0+ ARM64

ogs-6.4.4-cp310-cp310-win_amd64.whl (49.4 MB view details)

Uploaded CPython 3.10 Windows x86-64

ogs-6.4.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (53.5 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

ogs-6.4.4-cp310-cp310-macosx_12_0_x86_64.whl (44.9 MB view details)

Uploaded CPython 3.10 macOS 12.0+ x86-64

ogs-6.4.4-cp310-cp310-macosx_12_0_arm64.whl (37.9 MB view details)

Uploaded CPython 3.10 macOS 12.0+ ARM64

ogs-6.4.4-cp39-cp39-win_amd64.whl (49.4 MB view details)

Uploaded CPython 3.9 Windows x86-64

ogs-6.4.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (53.5 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

ogs-6.4.4-cp39-cp39-macosx_12_0_x86_64.whl (44.9 MB view details)

Uploaded CPython 3.9 macOS 12.0+ x86-64

ogs-6.4.4-cp39-cp39-macosx_12_0_arm64.whl (37.9 MB view details)

Uploaded CPython 3.9 macOS 12.0+ ARM64

ogs-6.4.4-cp38-cp38-win_amd64.whl (49.3 MB view details)

Uploaded CPython 3.8 Windows x86-64

ogs-6.4.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (53.5 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

ogs-6.4.4-cp38-cp38-macosx_12_0_arm64.whl (37.9 MB view details)

Uploaded CPython 3.8 macOS 12.0+ ARM64

ogs-6.4.4-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (53.5 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ x86-64

File details

Details for the file ogs-6.4.4.tar.gz.

File metadata

  • Download URL: ogs-6.4.4.tar.gz
  • Upload date:
  • Size: 3.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.10

File hashes

Hashes for ogs-6.4.4.tar.gz
Algorithm Hash digest
SHA256 5a63565620c59afd8b7767a3752b1f116525dedce58753304943cb78d07db7cf
MD5 2b7299085afe2634e49a4bdf02f6868f
BLAKE2b-256 70e78de5bf63e2edf35117923a8f81c108f46e6d1915d22c320279b331c5a639

See more details on using hashes here.

File details

Details for the file ogs-6.4.4-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: ogs-6.4.4-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 49.7 MB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.10

File hashes

Hashes for ogs-6.4.4-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 efb447ed3cb1cbb2128ec76c62deac830a47da32359dafa030220251c68ca693
MD5 1329d425da9278cf05a75700ce8887b6
BLAKE2b-256 9b207444177734ce77ed44783288bf72749dccb3b25213c3a5a73779b5af1a3b

See more details on using hashes here.

File details

Details for the file ogs-6.4.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for ogs-6.4.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 28c16b62006c0a06095b87fae0411e061c4e4bc0dd7068ee2c50b52243da4ad1
MD5 ab4d9cd39b4b45d2ee59d365099acf0d
BLAKE2b-256 057c36a6c0b714bc0f24997bb3761521aff03cf82ea1c99beb6f4ceec2278f8c

See more details on using hashes here.

File details

Details for the file ogs-6.4.4-cp311-cp311-macosx_12_0_x86_64.whl.

File metadata

File hashes

Hashes for ogs-6.4.4-cp311-cp311-macosx_12_0_x86_64.whl
Algorithm Hash digest
SHA256 9dd2a2ce8726e682865e2016dcf944b085403e7856b2f79f4bbf08751aac1ef4
MD5 45b69ad9ae968093d086457a2e2deb13
BLAKE2b-256 d1d06dc6c6ee136c092a7d9498a708405677b5d75769ba3255cc286b6186cc9c

See more details on using hashes here.

File details

Details for the file ogs-6.4.4-cp311-cp311-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for ogs-6.4.4-cp311-cp311-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 09e6a6a819fe5f1a84ec73089fe5618f6c1b5c583fd190e6e7d23c2f9d800fda
MD5 619e07a8b310edc587d9399881d0cfa4
BLAKE2b-256 b78650e9f1b9b1deb655cdacc31474a82f08e35a9d2b02dfb56c797be027480b

See more details on using hashes here.

File details

Details for the file ogs-6.4.4-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: ogs-6.4.4-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 49.4 MB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.10

File hashes

Hashes for ogs-6.4.4-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 71b8e7bbfa19c9719d6e107600b55450e076d70c5852065df81306f866dba0cf
MD5 a6ca04049867721fde5fbf001bdbc173
BLAKE2b-256 5a261a634a58c2f5da46ce5b74d1974f1dae95f0d09c7376cc30606262eba01b

See more details on using hashes here.

File details

Details for the file ogs-6.4.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for ogs-6.4.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 96684d07f30f61d6ac6cd8c112eae91bb05de276b3a856a7272f905da667aa80
MD5 c8d857621862bba3112a00c266087029
BLAKE2b-256 ccdca07473cf8e90734775ad325d0d3082739816dc8c03f76dfced8912440fb5

See more details on using hashes here.

File details

Details for the file ogs-6.4.4-cp310-cp310-macosx_12_0_x86_64.whl.

File metadata

File hashes

Hashes for ogs-6.4.4-cp310-cp310-macosx_12_0_x86_64.whl
Algorithm Hash digest
SHA256 910ecaef9788bcc42ccaec1f27f1be08b0d2c63c1dfad0eacf35c4e0f2059a67
MD5 d6d12f00751719b59c879c9dd1d6c877
BLAKE2b-256 bf6d1a3e27a1a7d4f4d4049d82aec955f629911918c4a16f9fd37a8176a67938

See more details on using hashes here.

File details

Details for the file ogs-6.4.4-cp310-cp310-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for ogs-6.4.4-cp310-cp310-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 583b80c0df3d8d2281c318b2f4d6740d23d3912493a55650885615d81c92b42f
MD5 a34777d513d724c9314b5acc9345d062
BLAKE2b-256 a8b82306bcbd75bac3abc9dcb1762a4ff0a6de7a11a57d32d2034446572edc8d

See more details on using hashes here.

File details

Details for the file ogs-6.4.4-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: ogs-6.4.4-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 49.4 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.10

File hashes

Hashes for ogs-6.4.4-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 901c1984c6ea2e4ab4368f3f543f5265409570525c017611a8b462bae198a1d8
MD5 a2dbccc982fd4f16040fa60b726fa91c
BLAKE2b-256 ae67a898d48a0beae6e03f773be578e0b83bc7282f7ff4e1c14101bf062f33dd

See more details on using hashes here.

File details

Details for the file ogs-6.4.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for ogs-6.4.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 6a79c0af422f4f381c577b4a4a8a9c503f9bc1df450aceea44b41339a9505b3b
MD5 1afc00a479575751cbe4c5aa04d2b22b
BLAKE2b-256 52740dac71a779d76ae7dfda59ffb40803fb6df06daf1d4128a5cd59a3b65a42

See more details on using hashes here.

File details

Details for the file ogs-6.4.4-cp39-cp39-macosx_12_0_x86_64.whl.

File metadata

File hashes

Hashes for ogs-6.4.4-cp39-cp39-macosx_12_0_x86_64.whl
Algorithm Hash digest
SHA256 585924136809fd7a8ad402005e4c7b415b906dff0353a2683282f7fd962625d1
MD5 6dc356112df1dae2ca6e1bdee45a608e
BLAKE2b-256 ca8cab149ec4bafd6b5b0611b6c23ed27cf7258f4d5b5691df4903a75e6716d9

See more details on using hashes here.

File details

Details for the file ogs-6.4.4-cp39-cp39-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for ogs-6.4.4-cp39-cp39-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 a037ea858b9a3de2c5ba8f7b4e184d85af7182e9ec9da55ea21f90eec59f989f
MD5 1b711043aa08a5697a68d7a895fc27b8
BLAKE2b-256 acca3a46f81ec6bb479eb72ea1a700be5654a2053e9fe0a0350a7f2b7ea7f408

See more details on using hashes here.

File details

Details for the file ogs-6.4.4-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: ogs-6.4.4-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 49.3 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.10

File hashes

Hashes for ogs-6.4.4-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 cb86d1c62c8e5011db9b580e401cf22c792d2fef2aaf3ef96a78da51323f9549
MD5 8d1c28a582f883797cc8a3b5be1a5eeb
BLAKE2b-256 5c5043a7a054ab741a4940239b65a31e3298bceeb068635d4bd5398d7f6b1418

See more details on using hashes here.

File details

Details for the file ogs-6.4.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for ogs-6.4.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 445ac9336e4508ce271de7f97d6e67fd29d88f80b1d656d13b484766cddcb292
MD5 520367babc8d722a161b3a7409be5934
BLAKE2b-256 388c358aebbe2f5c04e5dc269ea954c8d0cfb7212160fa96036fa3eb0a2dae38

See more details on using hashes here.

File details

Details for the file ogs-6.4.4-cp38-cp38-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for ogs-6.4.4-cp38-cp38-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 003574a41d756977df7e14e6b166f09bb871b942c4f215b9e392aa22c6229d14
MD5 5a582fa8e79baecef9c18d395e537fa4
BLAKE2b-256 624e4853efcdb5edfd6465b4083d6e38caa0018f512e3f174dbd3f6e34de27b2

See more details on using hashes here.

File details

Details for the file ogs-6.4.4-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for ogs-6.4.4-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 f4c1d64e33893225fac8b45a1e84274755dd8e7e951c640bc78244baa9a509ce
MD5 3ac57df831df0c195f147879db4a7a41
BLAKE2b-256 0f52f7f2b65e79a5e366ba61e84b2782fd3690494d1ef95decf69bfe87a5863b

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 Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page