Uncertainty treatment library

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for admopenturns from gravatar.com admopenturns Avatar for jschueller from gravatar.com jschueller

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: GNU Lesser General Public License v3 or later (LGPLv3+) (LGPL)
  • Author: OpenTURNS Developers
  • Tags probability, reliability, sensitivity, metamodel
Classifiers

Project description

OpenTURNS is a scientific C++ and Python library including an internal data model and algorithms dedicated to the treatment of uncertainties. The main goal of this library is giving to specific applications all the functionalities needed to treat uncertainties in studies. Targeted users are all engineers who want to introduce the probabilistic dimension in their so far deterministic studies.

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for admopenturns from gravatar.com admopenturns Avatar for jschueller from gravatar.com jschueller

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: GNU Lesser General Public License v3 or later (LGPLv3+) (LGPL)
  • Author: OpenTURNS Developers
  • Tags probability, reliability, sensitivity, metamodel
Classifiers

Release history Release notifications | RSS feed

1.24rc1 pre-release

This version

1.23

1.23rc1 pre-release

1.22

1.22rc1 pre-release

1.21

1.20.post3

1.19.post1

1.19

1.18

1.17

1.16

Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

openturns-1.23-cp312-cp312-win_amd64.whl (59.6 MB view details)

Uploaded CPython 3.12 Windows x86-64

openturns-1.23-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (61.5 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ x86-64

openturns-1.23-cp312-cp312-macosx_13_0_x86_64.whl (64.8 MB view details)

Uploaded CPython 3.12 macOS 13.0+ x86-64

openturns-1.23-cp312-cp312-macosx_13_0_arm64.whl (58.0 MB view details)

Uploaded CPython 3.12 macOS 13.0+ ARM64

openturns-1.23-cp311-cp311-win_amd64.whl (59.5 MB view details)

Uploaded CPython 3.11 Windows x86-64

openturns-1.23-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (61.3 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

openturns-1.23-cp311-cp311-macosx_13_0_x86_64.whl (64.7 MB view details)

Uploaded CPython 3.11 macOS 13.0+ x86-64

openturns-1.23-cp311-cp311-macosx_13_0_arm64.whl (58.0 MB view details)

Uploaded CPython 3.11 macOS 13.0+ ARM64

openturns-1.23-cp310-cp310-win_amd64.whl (59.5 MB view details)

Uploaded CPython 3.10 Windows x86-64

openturns-1.23-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (61.3 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

openturns-1.23-cp310-cp310-macosx_13_0_x86_64.whl (64.7 MB view details)

Uploaded CPython 3.10 macOS 13.0+ x86-64

openturns-1.23-cp310-cp310-macosx_13_0_arm64.whl (58.0 MB view details)

Uploaded CPython 3.10 macOS 13.0+ ARM64

openturns-1.23-cp39-cp39-win_amd64.whl (59.5 MB view details)

Uploaded CPython 3.9 Windows x86-64

openturns-1.23-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (61.3 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

openturns-1.23-cp39-cp39-macosx_13_0_x86_64.whl (64.7 MB view details)

Uploaded CPython 3.9 macOS 13.0+ x86-64

openturns-1.23-cp39-cp39-macosx_13_0_arm64.whl (58.0 MB view details)

Uploaded CPython 3.9 macOS 13.0+ ARM64

openturns-1.23-cp38-cp38-win_amd64.whl (59.4 MB view details)

Uploaded CPython 3.8 Windows x86-64

openturns-1.23-cp38-cp38-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (61.3 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

openturns-1.23-cp38-cp38-macosx_13_0_x86_64.whl (64.7 MB view details)

Uploaded CPython 3.8 macOS 13.0+ x86-64

openturns-1.23-cp38-cp38-macosx_13_0_arm64.whl (57.9 MB view details)

Uploaded CPython 3.8 macOS 13.0+ ARM64

File details

Details for the file openturns-1.23-cp312-cp312-win_amd64.whl.

File metadata

File hashes

Hashes for openturns-1.23-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 38130bdc0f6b076b28cba717f0eae9129cacb7de056c6990c4115edb6093f819
MD5 fefc21be79de7e4b46c044892c8e8f6e
BLAKE2b-256 893887cffa0fc108996e2fcb45531bfb0e0f12e2c65d33439b6b4777c11e1f84

See more details on using hashes here.

File details

Details for the file openturns-1.23-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.

File metadata

File hashes

Hashes for openturns-1.23-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl
Algorithm Hash digest
SHA256 cd815a428e6a50ffcd833b6c0b83bc85baf52fdd7b047c93cfd08fe0b7d160c3
MD5 98f7e9d186e09d0c7b597a17de538674
BLAKE2b-256 2fe2ccc9ba2b60209cc1b3a067a26fc7c29605fa34f40fab827fd8d69b56b2a3

See more details on using hashes here.

File details

Details for the file openturns-1.23-cp312-cp312-macosx_13_0_x86_64.whl.

File metadata

File hashes

Hashes for openturns-1.23-cp312-cp312-macosx_13_0_x86_64.whl
Algorithm Hash digest
SHA256 ccef2efa5967c5a98bf0c01ed180af2f37bc6e5997df7a4fb1cef5c440136dfe
MD5 7d7a40702ad8b92bcb638da7412ed7ad
BLAKE2b-256 8723d486ee99214ee647df00fe90df55060342fbf33fb02f8b5ac84c7c0d503d

See more details on using hashes here.

File details

Details for the file openturns-1.23-cp312-cp312-macosx_13_0_arm64.whl.

File metadata

File hashes

Hashes for openturns-1.23-cp312-cp312-macosx_13_0_arm64.whl
Algorithm Hash digest
SHA256 0c1452930e4c38a5e44f69a67d39eecf832899ec489bf2336917db8d1991a5f3
MD5 d9398f53ff6262243633a0c45eac8cf8
BLAKE2b-256 d8b94a1c12c3e2f45ed366e0f43cce9ca197f0152b7878b9e0c6ade44516d8df

See more details on using hashes here.

File details

Details for the file openturns-1.23-cp311-cp311-win_amd64.whl.

File metadata

File hashes

Hashes for openturns-1.23-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 b4ae72d2449fff592f9b798e122f5b0d1083e2ecff6a0a96449598c94577208b
MD5 7079d534e04eed7c69cecfa52ed3d94c
BLAKE2b-256 ec8207381ef955b5effdbd6e06e23397df8c854ff8c40c3258c020e8d70c13c6

See more details on using hashes here.

File details

Details for the file openturns-1.23-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.

File metadata

File hashes

Hashes for openturns-1.23-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl
Algorithm Hash digest
SHA256 39bec68191bb46569a45477cd29a14e0c13c8b92986c0c65688f289420db49c6
MD5 9039fc26a505a414b9604093df7a55c9
BLAKE2b-256 1331d63352a4a43ad8239cd28b1bd7bf3ac0f2c765f4ede08fa244f24f09cb6f

See more details on using hashes here.

File details

Details for the file openturns-1.23-cp311-cp311-macosx_13_0_x86_64.whl.

File metadata

File hashes

Hashes for openturns-1.23-cp311-cp311-macosx_13_0_x86_64.whl
Algorithm Hash digest
SHA256 ec51c84eb8c21a997bfbccb9a20988502e0e0f4381419c4c46decf6c59827c45
MD5 33ba7b0aeb1a3e1129475b6030b81cb7
BLAKE2b-256 66ef0b3b68a6d98663d14bffeca45af37aea2cdf5b580426097662f82745c992

See more details on using hashes here.

File details

Details for the file openturns-1.23-cp311-cp311-macosx_13_0_arm64.whl.

File metadata

File hashes

Hashes for openturns-1.23-cp311-cp311-macosx_13_0_arm64.whl
Algorithm Hash digest
SHA256 83636d7d3122637373eb9e4b5ba72e15e80d49e09ad2fed6f9a72b7f94fbe99d
MD5 858f72c66899c3792e0a5eb41a53424b
BLAKE2b-256 bec82f994ed0453a495bd3c311e489856eff3ba8783c63518389d4b343920141

See more details on using hashes here.

File details

Details for the file openturns-1.23-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for openturns-1.23-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 339392fd1b5ee066ec34b9aa89c86e18cbceb3d3db78ca6c43930040a8d3cb39
MD5 dae88410c3aa6c1642a854226ea78b8c
BLAKE2b-256 0ed2ed9609edff44f4d7c5caca430141613e6e6cc74faf2ec90ce81cc276c528

See more details on using hashes here.

File details

Details for the file openturns-1.23-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.

File metadata

File hashes

Hashes for openturns-1.23-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl
Algorithm Hash digest
SHA256 a40c1ac6167b18be65abe397946ee78d3af328d5eca8f2c1f54d142495c7e063
MD5 61cc74e8d6f1570be02153d22e77a2df
BLAKE2b-256 e103f30eda9ebcef42ab3e85c7395e523cfc2f6ed9302b5d2ba0ec5dbf20ce68

See more details on using hashes here.

File details

Details for the file openturns-1.23-cp310-cp310-macosx_13_0_x86_64.whl.

File metadata

File hashes

Hashes for openturns-1.23-cp310-cp310-macosx_13_0_x86_64.whl
Algorithm Hash digest
SHA256 f4bc20773254e913c1986699e08c7d80afeb51dfe924ff7b3349c85c03d6ad8e
MD5 6d732df055b8d9238a033605ff5cf47d
BLAKE2b-256 f9187fde11315ec1ae343c6f489254f4fd56c7447407ffe14a96357bf89ac296

See more details on using hashes here.

File details

Details for the file openturns-1.23-cp310-cp310-macosx_13_0_arm64.whl.

File metadata

File hashes

Hashes for openturns-1.23-cp310-cp310-macosx_13_0_arm64.whl
Algorithm Hash digest
SHA256 62c566dc1977f7d430ece7f0251216fce5e01877af9990d46884ce887fb7c0be
MD5 1425b748d5b13218d114138e0f8a7e7c
BLAKE2b-256 0ad7a1f6f28447cc839c0f971c6dca0bf96443298a6946d28646b6acb922e8e7

See more details on using hashes here.

File details

Details for the file openturns-1.23-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: openturns-1.23-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 59.5 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.12.3

File hashes

Hashes for openturns-1.23-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 da7790ccacd42824ebab46f46c3b07e65d50673b887c7134fa0a8583e3555153
MD5 6947fddc229450ece2a2cb9f9ecc5caa
BLAKE2b-256 dcea87c617ca0968323ff506e993496673ad7987e8003ad2c0616792ca9e5668

See more details on using hashes here.

File details

Details for the file openturns-1.23-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.

File metadata

File hashes

Hashes for openturns-1.23-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.whl
Algorithm Hash digest
SHA256 5a3909ccb915c90062af6aa8f9b3dd8b00c0de393fceda377d085e6df70d21f2
MD5 ad214c69e1a8df0b2c9595431b51fce3
BLAKE2b-256 8f8cf22d1bee6ae206524f13504e6f246a60869f5a7031bc54399d21c02c06e2

See more details on using hashes here.

File details

Details for the file openturns-1.23-cp39-cp39-macosx_13_0_x86_64.whl.

File metadata

File hashes

Hashes for openturns-1.23-cp39-cp39-macosx_13_0_x86_64.whl
Algorithm Hash digest
SHA256 e41be854333b78033aa98df102e0f5f21658199dd5f9166f123509350f2ff522
MD5 81d84f5d8b0d0a0dd8a494e178e9fce8
BLAKE2b-256 16a3db54880d63043b276e67c4f03af4513f9316f5875a27f9e519111fa9c838

See more details on using hashes here.

File details

Details for the file openturns-1.23-cp39-cp39-macosx_13_0_arm64.whl.

File metadata

File hashes

Hashes for openturns-1.23-cp39-cp39-macosx_13_0_arm64.whl
Algorithm Hash digest
SHA256 ec10c6ae3dd7699f41d4145102ec174555300295c11564ac41a7b41d8cac8fb0
MD5 e25715bdf24b0de52b65c92cf8943379
BLAKE2b-256 d58db8e09cc177704720851aaace6f539a404e7d57c57ebc3238f1763841e8e8

See more details on using hashes here.

File details

Details for the file openturns-1.23-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: openturns-1.23-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 59.4 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.12.3

File hashes

Hashes for openturns-1.23-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 a0d20d19b400c3e27fde8d3adbe38793db25d0eb2475e939df27997ba58199eb
MD5 ea71f71507cd9f913f9b3c42b54be9b0
BLAKE2b-256 fdc484916bc9b127fbabd6e09f3a55324a1b28ab62baa1e1b9b8f07dbaf06998

See more details on using hashes here.

File details

Details for the file openturns-1.23-cp38-cp38-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.

File metadata

File hashes

Hashes for openturns-1.23-cp38-cp38-manylinux2014_x86_64.manylinux_2_17_x86_64.whl
Algorithm Hash digest
SHA256 937fb703ae9aab2461b7a2130affc1899540c13d256a62ed81cf2c5f0ffc9c36
MD5 aa2d8ccb020116196a68c802914e263d
BLAKE2b-256 17c2a1ceee2db09c26623600d1680aab513a51812975f28040facd5ac5122c52

See more details on using hashes here.

File details

Details for the file openturns-1.23-cp38-cp38-macosx_13_0_x86_64.whl.

File metadata

File hashes

Hashes for openturns-1.23-cp38-cp38-macosx_13_0_x86_64.whl
Algorithm Hash digest
SHA256 34497c8784b231662f15dcf514a739642c7db0f75c298813f555cd38f86f0451
MD5 1a6cbb04eaedba4d0ea2b4be71f52de9
BLAKE2b-256 ed08911af589e30e21ecf9a4a587d05629309a052037a9ba88413258c5a41d2b

See more details on using hashes here.

File details

Details for the file openturns-1.23-cp38-cp38-macosx_13_0_arm64.whl.

File metadata

File hashes

Hashes for openturns-1.23-cp38-cp38-macosx_13_0_arm64.whl
Algorithm Hash digest
SHA256 aafd522ea2755ff8c641d780834813f9d50b1830f6db253a82833aa676a3e40b
MD5 1c4a5730c50ae6fffd320f5a1b619507
BLAKE2b-256 8422b53dd9fcf0fdaa35906add7955c242ece1d9f3ddcfd242407d4e61f1cab6

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