openturns

Uncertainty treatment library

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

Release history Release notifications | RSS feed

This version

1.20.post3

Nov 9, 2022

1.19.post1

May 10, 2022

1.19

May 10, 2022

1.18

Nov 10, 2021

1.17

May 13, 2021

1.16

Nov 18, 2020

1.15

May 26, 2020

1.14

Nov 14, 2019

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-1.20.post3-cp311-cp311-win_amd64.whl (57.7 MB view hashes)

Uploaded Nov 9, 2022 cp311

openturns-1.20.post3-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (58.0 MB view hashes)

Uploaded Nov 9, 2022 cp311

openturns-1.20.post3-cp311-cp311-macosx_11_0_x86_64.whl (60.4 MB view hashes)

Uploaded Nov 9, 2022 cp311

openturns-1.20.post3-cp310-cp310-win_amd64.whl (57.7 MB view hashes)

Uploaded Nov 9, 2022 cp310

openturns-1.20.post3-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (58.0 MB view hashes)

Uploaded Nov 9, 2022 cp310

openturns-1.20.post3-cp310-cp310-macosx_11_0_x86_64.whl (60.4 MB view hashes)

Uploaded Nov 9, 2022 cp310

openturns-1.20.post3-cp310-cp310-macosx_11_0_arm64.whl (54.5 MB view hashes)

Uploaded Nov 9, 2022 cp310

openturns-1.20.post3-cp39-cp39-win_amd64.whl (57.7 MB view hashes)

Uploaded Nov 9, 2022 cp39

openturns-1.20.post3-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (58.0 MB view hashes)

Uploaded Nov 9, 2022 cp39

openturns-1.20.post3-cp39-cp39-macosx_11_0_x86_64.whl (60.4 MB view hashes)

Uploaded Nov 9, 2022 cp39

openturns-1.20.post3-cp39-cp39-macosx_11_0_arm64.whl (54.5 MB view hashes)

Uploaded Nov 9, 2022 cp39

openturns-1.20.post3-cp38-cp38-win_amd64.whl (57.6 MB view hashes)

Uploaded Nov 9, 2022 cp38

openturns-1.20.post3-cp38-cp38-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (58.0 MB view hashes)

Uploaded Nov 9, 2022 cp38

openturns-1.20.post3-cp38-cp38-macosx_11_0_x86_64.whl (60.4 MB view hashes)

Uploaded Nov 9, 2022 cp38

openturns-1.20.post3-cp38-cp38-macosx_11_0_arm64.whl (54.5 MB view hashes)

Uploaded Nov 9, 2022 cp38

Hashes for openturns-1.20.post3-cp311-cp311-win_amd64.whl

Hashes for openturns-1.20.post3-cp311-cp311-win_amd64.whl
Algorithm	Hash digest
SHA256	`52cc51f3cac7f8feab85479d825a374569fea3e77d704ec31290d444513b6c74`
MD5	`10f353cb28644741e39712bacb9a1907`
BLAKE2b-256	`a80c8fb585ffd3730cd05100d52d620b0bdac56932919d19df1fdf65f6d2cb2f`

Hashes for openturns-1.20.post3-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl

Hashes for openturns-1.20.post3-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl
Algorithm	Hash digest
SHA256	`0c27fa40d971e9468f5d066648a3eebd1e81d44d42379a9772d841261147237a`
MD5	`941f7c5e1168c76491b86848f284245a`
BLAKE2b-256	`61d762d0a07b9b90315777ce0c279223a8a622eff110495c8e7f276e5cca1d15`

Hashes for openturns-1.20.post3-cp311-cp311-macosx_11_0_x86_64.whl

Hashes for openturns-1.20.post3-cp311-cp311-macosx_11_0_x86_64.whl
Algorithm	Hash digest
SHA256	`5943930a7de9ee3ef0604f7d5a231078dab452cdbdef5880acd9dfe40def61c5`
MD5	`1d4772be5967cce5872f7f7f5f3603f3`
BLAKE2b-256	`279114bb60ce781e88daf6f38f0b4caa7d8cd0d70bd6e7ccf6b79540410fef31`

Hashes for openturns-1.20.post3-cp310-cp310-win_amd64.whl

Hashes for openturns-1.20.post3-cp310-cp310-win_amd64.whl
Algorithm	Hash digest
SHA256	`f06833eb99108bd0f99c1f2799e71de3f60708317801b8c7ff076a2a3e51f8a1`
MD5	`6278a1ae2fe0519231d404e1f80cb7fb`
BLAKE2b-256	`af9bedb7621e20f5b026ed883aeef83f2f68bfa87e404937487854e4abd635e2`

Hashes for openturns-1.20.post3-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl

Hashes for openturns-1.20.post3-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl
Algorithm	Hash digest
SHA256	`23238e693ad479bc05026582a37134a875bea0e0792f1e605bde73aadaec14f5`
MD5	`5b8b188765107458a9256ec8f50803cf`
BLAKE2b-256	`913760633e5dc9ae9afb1c9f8ec6473103a81745516b4186a9bce548909e1006`

Hashes for openturns-1.20.post3-cp310-cp310-macosx_11_0_x86_64.whl

Hashes for openturns-1.20.post3-cp310-cp310-macosx_11_0_x86_64.whl
Algorithm	Hash digest
SHA256	`40b7d926201a128929870e8f72a25fe37541c400c73e0e79b337145c91d5cd65`
MD5	`de643614a31cef0679cb5f7ae2761499`
BLAKE2b-256	`0d7fe9cb011e31325fc14d32bd5cd37b593ec2961a9f49a6d77dd23a4b7fda0a`

Hashes for openturns-1.20.post3-cp310-cp310-macosx_11_0_arm64.whl

Hashes for openturns-1.20.post3-cp310-cp310-macosx_11_0_arm64.whl
Algorithm	Hash digest
SHA256	`405a16a7928ea74ca44565117f85d3732527892a924ba7f0f0fb3b97c23f15a0`
MD5	`2e4a207517d0bd4c94538af29e5fc2ef`
BLAKE2b-256	`5a26c9631ec44746fa9296490e13939c987752f2beb8d1f8a2ebedd434d02b39`

Hashes for openturns-1.20.post3-cp39-cp39-win_amd64.whl

Hashes for openturns-1.20.post3-cp39-cp39-win_amd64.whl
Algorithm	Hash digest
SHA256	`8aa53eb21a02eda0b647cdad8a2810abb5caa056e5bb0aca40a72bceff4fdb4a`
MD5	`c853de52c52ce59313ec285b27ce0062`
BLAKE2b-256	`40ab283e17c6e5af903ca0e5af274fb5183abe6b9ace064d6e5b72671d4db0be`

Hashes for openturns-1.20.post3-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.whl

Hashes for openturns-1.20.post3-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.whl
Algorithm	Hash digest
SHA256	`e410b9cb2ccf5f261f924043f294d9028ca3b2384b0789096b7885ad19715d21`
MD5	`62000401dad0af20ea726ef9a3cb7799`
BLAKE2b-256	`877283e82c5aa2d9f56ecd3cbae1b662a227f09bf7e29c6b6c40507d58518d05`

Hashes for openturns-1.20.post3-cp39-cp39-macosx_11_0_x86_64.whl

Hashes for openturns-1.20.post3-cp39-cp39-macosx_11_0_x86_64.whl
Algorithm	Hash digest
SHA256	`5710c5e36c5d8cfef27f7588a805fc185aa003593966796b3a22d3df44c0c6c6`
MD5	`6bbefd01a58e31c2415e45dd2007df9d`
BLAKE2b-256	`b2de8dd4d00edb6369082aa53793cb26a6670fb6ac94382a6d4c6b5fbc18501c`

Hashes for openturns-1.20.post3-cp39-cp39-macosx_11_0_arm64.whl

Hashes for openturns-1.20.post3-cp39-cp39-macosx_11_0_arm64.whl
Algorithm	Hash digest
SHA256	`41d189ee87c0b0a6da9e04de56335049acadbe2bc4a49fd842040b23a8977256`
MD5	`0ee71db27aeffde347544e2a3380ee9b`
BLAKE2b-256	`b1fd2554d3901b4b8b9158b594f290dfe1891b252d7cdbb81713186ba79ee086`

Hashes for openturns-1.20.post3-cp38-cp38-win_amd64.whl

Hashes for openturns-1.20.post3-cp38-cp38-win_amd64.whl
Algorithm	Hash digest
SHA256	`21547f4854f188c407a15b8302f7e628416ba7b6823a80f8b7a6662a5dd1f1ec`
MD5	`7494bca5f34553b193983eca6cc3c7e8`
BLAKE2b-256	`f5258ed49e84893bb114ac5b911fbd6d744aa1ed875ad2c6a511377a524e2596`

Hashes for openturns-1.20.post3-cp38-cp38-manylinux2014_x86_64.manylinux_2_17_x86_64.whl

Hashes for openturns-1.20.post3-cp38-cp38-manylinux2014_x86_64.manylinux_2_17_x86_64.whl
Algorithm	Hash digest
SHA256	`7411b8ca81a9c0071d55d45cf00e393e2390c0601d66c4db8ed4deacb51e2c84`
MD5	`85eb61120f57160802ecc238df5a97f1`
BLAKE2b-256	`f8a0865d3940b710077b5e13d5ec93ac09d69f20841753d9ecc0acb2eb98daeb`

Hashes for openturns-1.20.post3-cp38-cp38-macosx_11_0_x86_64.whl

Hashes for openturns-1.20.post3-cp38-cp38-macosx_11_0_x86_64.whl
Algorithm	Hash digest
SHA256	`142986a0990732764d4752156a78581f3066f20dd5b8e9277362aa710071334e`
MD5	`708217827c23910755202f307f8db0dc`
BLAKE2b-256	`9b0fcaf51fea9faf2913e3050ff8a10aed168ddbf19b883e0d0c22ba4c144c86`

Hashes for openturns-1.20.post3-cp38-cp38-macosx_11_0_arm64.whl

Hashes for openturns-1.20.post3-cp38-cp38-macosx_11_0_arm64.whl
Algorithm	Hash digest
SHA256	`53f9e63d47a3203b8f1cb321422a71198d72a088b01e8770742426e8440836a0`
MD5	`5260d73d3d73156a82a734a067b75cef`
BLAKE2b-256	`b8930d06b41f4c7c64e7cf5f3cb4ddf27820504520526b42a307bfbc78e1dd39`