General Fatigue library

Navigation

Verified details

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

Unverified details

These details have not been verified by PyPI
Project links
Meta
Classifiers

Project description

pyLife – a general library for fatigue and reliability

Binder Documentation Status PyPI PyPI - Python Version Testsuite

pyLife is an Open Source Python library for state of the art algorithms used in lifetime assessment of mechanical components subjected to fatigue.

Purpose of the project

This library was originally compiled at Bosch Research to collect algorithms needed by different in house software projects, that deal with lifetime prediction and material fatigue on a component level. In order to further extent and scrutinize it we decided to release it as Open Source. Read this article about pyLife's origin.

So we are welcoming collaboration not only from science and education but also from other commercial companies dealing with the topic. We commend this library to university teachers to use it for education purposes.

The company Viktor has set up a web application for Wöhler test analysis based on pyLife code.

Status

pyLife-2.1.x is the current release the you get by default. We are doing small improvements, in the pyLife-2.1.x branch (master) while developing the more vast features in the 2.2.x branch (develop).

The main new features of the 2.2.x branch is about FKM functionality. As that is quite a comprehensive addition we would need some time to get it right before we can release it as default release.

Once 2.2.x is released we will probably stick to a one branch development.

Contents

There are/will be the following subpackages:

  • stress everything related to stress calculation

    • equivalent stress
    • stress gradient calculation
    • rainflow counting
    • ...

  • strength everything related to strength calculation

    • failure probability estimation
    • S-N-calculations
    • ...

  • mesh FEM mesh related stuff

    • stress gradients
    • FEM-mapping
    • hotspot detection

  • util all the more general utilities

    • ...

  • materialdata analysis of material testing data

    • Wöhler (SN-curve) data analysis

  • materiallaws modeling material behavior

    • Ramberg Osgood
    • Wöhler curves

  • vmap a interface to VMAP

License

pyLife is open-sourced under the Apache-2.0 license. See the LICENSE file for details.

For a list of other open source components included in pyLife, see the file 3rd-party-licenses.txt.

Project details

Verified details

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

Unverified details

These details have not been verified by PyPI
Project links
Meta
Classifiers

Release history Release notifications | RSS feed

2.2.0a2 pre-release

2.2.0a1 pre-release

This version

2.1.3

2.1.3rc1 pre-release

2.1.2

2.1.1

2.1.1b2 pre-release

2.1.1a3 pre-release

2.1.1a1 pre-release

2.1.0

2.1.0rc2 pre-release

2.1.0rc1 pre-release

2.1.0b1 pre-release

2.0.4

2.0.3

2.0.2

2.0.1

2.0.0

2.0.0a4 pre-release

2.0.0a3 pre-release

2.0.0a2 pre-release

2.0.0a1 pre-release

1.1.4

1.1.3

1.1.2

1.1.1

1.1.0

1.0.3

1.0.2

1.0.1

1.0

Download files

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

Source Distribution

pylife-2.1.3.tar.gz (8.0 MB view details)

Uploaded Source

Built Distributions

pylife-2.1.3-cp312-cp312-win_amd64.whl (220.6 kB view details)

Uploaded CPython 3.12 Windows x86-64

pylife-2.1.3-cp312-cp312-win32.whl (208.9 kB view details)

Uploaded CPython 3.12 Windows x86

pylife-2.1.3-cp312-cp312-musllinux_1_2_x86_64.whl (662.9 kB view details)

Uploaded CPython 3.12 musllinux: musl 1.2+ x86-64

pylife-2.1.3-cp312-cp312-musllinux_1_2_i686.whl (638.7 kB view details)

Uploaded CPython 3.12 musllinux: musl 1.2+ i686

pylife-2.1.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (639.6 kB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ x86-64

pylife-2.1.3-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (618.9 kB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ i686 manylinux: glibc 2.5+ i686

pylife-2.1.3-cp311-cp311-win_amd64.whl (221.3 kB view details)

Uploaded CPython 3.11 Windows x86-64

pylife-2.1.3-cp311-cp311-win32.whl (209.3 kB view details)

Uploaded CPython 3.11 Windows x86

pylife-2.1.3-cp311-cp311-musllinux_1_2_x86_64.whl (679.0 kB view details)

Uploaded CPython 3.11 musllinux: musl 1.2+ x86-64

pylife-2.1.3-cp311-cp311-musllinux_1_2_i686.whl (652.6 kB view details)

Uploaded CPython 3.11 musllinux: musl 1.2+ i686

pylife-2.1.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (658.2 kB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

pylife-2.1.3-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (647.4 kB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ i686 manylinux: glibc 2.5+ i686

pylife-2.1.3-cp310-cp310-win_amd64.whl (221.2 kB view details)

Uploaded CPython 3.10 Windows x86-64

pylife-2.1.3-cp310-cp310-win32.whl (209.7 kB view details)

Uploaded CPython 3.10 Windows x86

pylife-2.1.3-cp310-cp310-musllinux_1_2_x86_64.whl (638.7 kB view details)

Uploaded CPython 3.10 musllinux: musl 1.2+ x86-64

pylife-2.1.3-cp310-cp310-musllinux_1_2_i686.whl (620.2 kB view details)

Uploaded CPython 3.10 musllinux: musl 1.2+ i686

pylife-2.1.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (616.8 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

pylife-2.1.3-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (613.7 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ i686 manylinux: glibc 2.5+ i686

pylife-2.1.3-cp39-cp39-win_amd64.whl (221.7 kB view details)

Uploaded CPython 3.9 Windows x86-64

pylife-2.1.3-cp39-cp39-win32.whl (210.3 kB view details)

Uploaded CPython 3.9 Windows x86

pylife-2.1.3-cp39-cp39-musllinux_1_2_x86_64.whl (641.2 kB view details)

Uploaded CPython 3.9 musllinux: musl 1.2+ x86-64

pylife-2.1.3-cp39-cp39-musllinux_1_2_i686.whl (622.4 kB view details)

Uploaded CPython 3.9 musllinux: musl 1.2+ i686

pylife-2.1.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (620.0 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

pylife-2.1.3-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (616.4 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ i686 manylinux: glibc 2.5+ i686

pylife-2.1.3-cp38-cp38-win_amd64.whl (221.9 kB view details)

Uploaded CPython 3.8 Windows x86-64

pylife-2.1.3-cp38-cp38-win32.whl (210.2 kB view details)

Uploaded CPython 3.8 Windows x86

pylife-2.1.3-cp38-cp38-musllinux_1_2_x86_64.whl (652.4 kB view details)

Uploaded CPython 3.8 musllinux: musl 1.2+ x86-64

pylife-2.1.3-cp38-cp38-musllinux_1_2_i686.whl (631.3 kB view details)

Uploaded CPython 3.8 musllinux: musl 1.2+ i686

pylife-2.1.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (628.4 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

pylife-2.1.3-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (622.1 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ i686 manylinux: glibc 2.5+ i686

File details

Details for the file pylife-2.1.3.tar.gz.

File metadata

  • Download URL: pylife-2.1.3.tar.gz
  • Upload date:
  • Size: 8.0 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.12.7

File hashes

Hashes for pylife-2.1.3.tar.gz
Algorithm Hash digest
SHA256 024ae619bc525888a4d8375e02584d852b383de6308992994e74ff5f40524b31
MD5 0365e5d843e2922a26fd86dff6bf29f2
BLAKE2b-256 b0f8748707be70001944744ebe05e026384cda3813e91190efb12f5849b74eaf

See more details on using hashes here.

File details

Details for the file pylife-2.1.3-cp312-cp312-win_amd64.whl.

File metadata

  • Download URL: pylife-2.1.3-cp312-cp312-win_amd64.whl
  • Upload date:
  • Size: 220.6 kB
  • Tags: CPython 3.12, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.12.7

File hashes

Hashes for pylife-2.1.3-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 2ccb2afa88acecbac640b8dee59946ab643c6efda6b549b07a1e019f0bd7f1b0
MD5 14401405de155d3f54f224e27afa96cc
BLAKE2b-256 c999316f49c5a57950ad759437bb1f9b999152d3d9eb5ae502bb148c1de39172

See more details on using hashes here.

File details

Details for the file pylife-2.1.3-cp312-cp312-win32.whl.

File metadata

  • Download URL: pylife-2.1.3-cp312-cp312-win32.whl
  • Upload date:
  • Size: 208.9 kB
  • Tags: CPython 3.12, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.12.7

File hashes

Hashes for pylife-2.1.3-cp312-cp312-win32.whl
Algorithm Hash digest
SHA256 81967089fa7da85674a6ccf27bd881db1ecb1d6a7686c16f192f385b8ce827e6
MD5 d31a5bb3223c01c4ff8c0b620edca790
BLAKE2b-256 3cdf52874ab682c8a65da8d33f3d680ea850b2a0ffa44a33e1bca97d66c3ad84

See more details on using hashes here.

File details

Details for the file pylife-2.1.3-cp312-cp312-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for pylife-2.1.3-cp312-cp312-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 da151b5f1614d7df6e92848f391750a457bcb7f88c6efd7bf7b576c7d3a5099a
MD5 cef8f1fd4a9ea91cc0c692e0b91c3cfc
BLAKE2b-256 71d543de1d47605a9fcd36e5315a9dd24d787f2bd36ab2c53d5d2eeed2cbe6b4

See more details on using hashes here.

File details

Details for the file pylife-2.1.3-cp312-cp312-musllinux_1_2_i686.whl.

File metadata

File hashes

Hashes for pylife-2.1.3-cp312-cp312-musllinux_1_2_i686.whl
Algorithm Hash digest
SHA256 27855ab616dfe72acfac3e326871c2c7f1dccdcc2b17ea563a55991e82937a93
MD5 c76665796fa399bdf4fda6752ffed79d
BLAKE2b-256 3f28529fc53f45b2c74aa549aa25fa99b783fa1c6998c2fadd74a1d2b93af80d

See more details on using hashes here.

File details

Details for the file pylife-2.1.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pylife-2.1.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 a4d4ac36a5c1aec9e44511ad476c66be70b7ac19a85bc2399460923841a11ea3
MD5 b6ae543c00fd7b7e8d7a2cfe0fe993e8
BLAKE2b-256 480fdc7268d6cda7c3404759c8f154d1b1c2dc071e5483bd79eb65406d8be370

See more details on using hashes here.

File details

Details for the file pylife-2.1.3-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pylife-2.1.3-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 24cc5fd58f3628b463e03300bb282a5dcab099cfb0c39d61bea522bdc4a6469e
MD5 4df291ca2a21e100b4faa9a141067ddb
BLAKE2b-256 0045b19c073d4d3e4d7e7009c57d31556a009344d2a0eb669a14a7ff0f034092

See more details on using hashes here.

File details

Details for the file pylife-2.1.3-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: pylife-2.1.3-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 221.3 kB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.12.7

File hashes

Hashes for pylife-2.1.3-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 a9dc988ad80ac8aa23e90d02f4eef318b1592a53a4fa6dfcbf8f77078f5bd6a8
MD5 6f0092f481e61069fad615d434218126
BLAKE2b-256 904fa362f126944dd5f723ef252918449be85bdd4d56be895b26875b73b80258

See more details on using hashes here.

File details

Details for the file pylife-2.1.3-cp311-cp311-win32.whl.

File metadata

  • Download URL: pylife-2.1.3-cp311-cp311-win32.whl
  • Upload date:
  • Size: 209.3 kB
  • Tags: CPython 3.11, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.12.7

File hashes

Hashes for pylife-2.1.3-cp311-cp311-win32.whl
Algorithm Hash digest
SHA256 9c84bb3121fd78959cf87c718e30e43eccde93bbbdb92877b4d1fc537bd75709
MD5 ec2c79cc172d68b40f3b733ee77c99b2
BLAKE2b-256 5d513fde0fb0726fdba8f66ed3a377e7804528b1121147c1353d369a227be8f3

See more details on using hashes here.

File details

Details for the file pylife-2.1.3-cp311-cp311-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for pylife-2.1.3-cp311-cp311-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 a11a6fdae6491335ffd83bc32d4a8ba7c98084fe59cbce452b28da6520e9cdd5
MD5 17dc39bc6ca84d105b7a3f2bac0b19f9
BLAKE2b-256 56ddc1b68a6301a29cf4cd2bb2f26d6d5cd6d64625e0115eb1b0289f00e1141a

See more details on using hashes here.

File details

Details for the file pylife-2.1.3-cp311-cp311-musllinux_1_2_i686.whl.

File metadata

File hashes

Hashes for pylife-2.1.3-cp311-cp311-musllinux_1_2_i686.whl
Algorithm Hash digest
SHA256 23f44d17cbc71243ca1e1f90691d8b1ff55b8f68d20a88cc2631f97000b0c678
MD5 34a85ae1b3c7d02f4a24f492301e660c
BLAKE2b-256 f2e46450a1dbed88e9052b90d9a3128adf9199e235b2bd2999ea707e29fbfd18

See more details on using hashes here.

File details

Details for the file pylife-2.1.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pylife-2.1.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 d5288d10ec065202979e2db3a50dea75b034664a63d691f989032dbc6332c8db
MD5 a2fac3c91010f7b37915e9db9314e8e1
BLAKE2b-256 f2c251f1fc087d1976988b4142c1575244ea6a85c5dd571b44a8c181dfe66de8

See more details on using hashes here.

File details

Details for the file pylife-2.1.3-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pylife-2.1.3-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 4df59a46b8c21558ff4457209b3f5a6fc7fe8238dfa54031ef8ad469f8b03305
MD5 70b5359fdc93ac619eff5a6af6346198
BLAKE2b-256 08a15c3de35d666e2d42d797618b6e026ae9fd32b498932084e9ac7bdd27112a

See more details on using hashes here.

File details

Details for the file pylife-2.1.3-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: pylife-2.1.3-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 221.2 kB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.12.7

File hashes

Hashes for pylife-2.1.3-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 6e0033746867f1456b8f1c50b19006d15de5416f054a8c4d47bd128139cee7a1
MD5 22cd36c6603ba369b7f1c9efb06ec7a3
BLAKE2b-256 7674c3f93b942700589813f50bc3fc99371328009c40fa58b6e1c21c6c496a6f

See more details on using hashes here.

File details

Details for the file pylife-2.1.3-cp310-cp310-win32.whl.

File metadata

  • Download URL: pylife-2.1.3-cp310-cp310-win32.whl
  • Upload date:
  • Size: 209.7 kB
  • Tags: CPython 3.10, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.12.7

File hashes

Hashes for pylife-2.1.3-cp310-cp310-win32.whl
Algorithm Hash digest
SHA256 61834797bf0665fa163b74859b762e7dbb47812df3aebde8abbf3135148e04cd
MD5 4e416595e6d85184f9f954a02cb851e3
BLAKE2b-256 bc1ed3d3f873f66fce2386b0bcc3f92e572266e4b8ab03193bfc07181e4b12ef

See more details on using hashes here.

File details

Details for the file pylife-2.1.3-cp310-cp310-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for pylife-2.1.3-cp310-cp310-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 64e3b41f5ae0ddf7e065c9489d84661ad63aa0be5407b1dae64c6900dfcf956e
MD5 f2fd85d6ddb4c66ca343e2d298415045
BLAKE2b-256 093dacf00b89cb657309fb732f6d658a3af74b0934a289709e5e9d02b8e3a3d6

See more details on using hashes here.

File details

Details for the file pylife-2.1.3-cp310-cp310-musllinux_1_2_i686.whl.

File metadata

File hashes

Hashes for pylife-2.1.3-cp310-cp310-musllinux_1_2_i686.whl
Algorithm Hash digest
SHA256 cc86387bc5b85cff21d99db1e12387c05f01262e26aadbb245bad57165fe9465
MD5 8e38cabdf46ef6df11ad4772d4ac2a6b
BLAKE2b-256 2acd2fc8270188fd440f310f5f7d2cfac0d7b43f7fd2a8df3e79dd2968a04e75

See more details on using hashes here.

File details

Details for the file pylife-2.1.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pylife-2.1.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 ee93609a75282f16d96890b24c89c3dd9bb3420433307500b035b86e6751e8a9
MD5 b5a7ec2de5f07fa39d60bbd97ce63801
BLAKE2b-256 23d7f486c066f07e5dc9dfee2f25ddf235834458fb995a4e5d6e9ae0c6ed9eb1

See more details on using hashes here.

File details

Details for the file pylife-2.1.3-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pylife-2.1.3-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 df4c4a4bbcaa3daa36c70c07cebc1b53065515711005fcd48d7af55f44dc5976
MD5 2535f04dfe5ddbc4ceb126af6b1e23f3
BLAKE2b-256 0c6876c44b5ab8e5088b4260ef73fde287c608e34c5986fb8ab0be4e70f78fca

See more details on using hashes here.

File details

Details for the file pylife-2.1.3-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: pylife-2.1.3-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 221.7 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.12.7

File hashes

Hashes for pylife-2.1.3-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 07eb4e0b3d29b96cac6172e7d14d677321a23499b9dbfc936ed0c71317780aef
MD5 78de071f12119216373b4d6d0398148e
BLAKE2b-256 3f7a3c8a5af2116dfe6214f3f1d73a66c64ee94926ce500699650f57c767b580

See more details on using hashes here.

File details

Details for the file pylife-2.1.3-cp39-cp39-win32.whl.

File metadata

  • Download URL: pylife-2.1.3-cp39-cp39-win32.whl
  • Upload date:
  • Size: 210.3 kB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.12.7

File hashes

Hashes for pylife-2.1.3-cp39-cp39-win32.whl
Algorithm Hash digest
SHA256 fea0730ceb7db8d8953e1caea8b9c4983e56b9f778465475f8b00a6bdcedb941
MD5 0ca112365ab4e87ab708a8b43d43acc1
BLAKE2b-256 b7f977e4df9711285f02a8681d4951a90366fbe72224a5802b25c93070f033ee

See more details on using hashes here.

File details

Details for the file pylife-2.1.3-cp39-cp39-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for pylife-2.1.3-cp39-cp39-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 e83a313b318c89c77e5e8fa84b24f6ca2dbd07d0405d612670a7f4fc6276711d
MD5 dc965ffebc619d63f54c48fddb72b477
BLAKE2b-256 70ea134dc04608f638e6a41c12b057777071e8e292b9977c1d5382fc21b5b913

See more details on using hashes here.

File details

Details for the file pylife-2.1.3-cp39-cp39-musllinux_1_2_i686.whl.

File metadata

File hashes

Hashes for pylife-2.1.3-cp39-cp39-musllinux_1_2_i686.whl
Algorithm Hash digest
SHA256 6b901daf38993e633a9265ddfd73c121be197f902a89baf94cc73fe3a9eac22f
MD5 91464377c1fea67690f47b6005f8e4c3
BLAKE2b-256 b2eb9fe84a378f7a9e129c64c523d458a7dade2d526eadfe271126595efc9688

See more details on using hashes here.

File details

Details for the file pylife-2.1.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pylife-2.1.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 372f30d9c421513ba6692a94df5f738a63fc87e07abbb40951abb5cc2bcd2507
MD5 f958b4a86d211cbe8c7125585c8fc20d
BLAKE2b-256 e60ff34b8cad61355af213bf405dcae6b4036b71e1e03dd3f008ce573fb7a27f

See more details on using hashes here.

File details

Details for the file pylife-2.1.3-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pylife-2.1.3-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 10a7fa5fcc4c881fd0213eace3581898ab0c45890e8ac495ca25568f2836caf6
MD5 47b07d98f8992885a2de0f79049f6ca1
BLAKE2b-256 705167e390cb5ff93d3e4450295f5971b928066a647a2c4c89ba9e6092b61c8b

See more details on using hashes here.

File details

Details for the file pylife-2.1.3-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: pylife-2.1.3-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 221.9 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.12.7

File hashes

Hashes for pylife-2.1.3-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 f4e34cf76b23df8a1e95710c285915a4dee004640a107c1a8eb1cd9dd60f6731
MD5 443f6fe5d43a1acf4c4ff30e148bf3f7
BLAKE2b-256 8c684bc0da38f24471dd2a77e295f0dc396aa6387d35271a8798c4d36a865a9c

See more details on using hashes here.

File details

Details for the file pylife-2.1.3-cp38-cp38-win32.whl.

File metadata

  • Download URL: pylife-2.1.3-cp38-cp38-win32.whl
  • Upload date:
  • Size: 210.2 kB
  • Tags: CPython 3.8, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.12.7

File hashes

Hashes for pylife-2.1.3-cp38-cp38-win32.whl
Algorithm Hash digest
SHA256 70cb20508bd6f213bd7810360b799fb6ee512d033d4294f3063025eea4f38e90
MD5 fb03d77deb89749eb351f5e6875efb94
BLAKE2b-256 a1add43168570bfc65503fe68c8ec94557f06aa1227c460ef19c928452433c18

See more details on using hashes here.

File details

Details for the file pylife-2.1.3-cp38-cp38-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for pylife-2.1.3-cp38-cp38-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 e569ef47d5adad5609e37459671a90e426c33cb5429a9b942556283ca628b100
MD5 0dbaac03c45da519436465e00856c829
BLAKE2b-256 eb1167ef1b531752efc0e2017ad91fce5852f0b3e7daa4633a9b2b0de98bfb82

See more details on using hashes here.

File details

Details for the file pylife-2.1.3-cp38-cp38-musllinux_1_2_i686.whl.

File metadata

File hashes

Hashes for pylife-2.1.3-cp38-cp38-musllinux_1_2_i686.whl
Algorithm Hash digest
SHA256 e13864e9b83afd1a8287474b84552d2093d974c7d72fa08da07c90677b154a7d
MD5 e68b024d7ad2f8ad3cb934aee98b85c2
BLAKE2b-256 4258a9c03cc5cd76ca0a992418b533b6e049085bab40f1b892eb59ff51e3a40b

See more details on using hashes here.

File details

Details for the file pylife-2.1.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pylife-2.1.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 9e885ef65794287d1bf24d503d42339ca2e9c0facfdb071182b0052046402039
MD5 b7ad8e2bcb31d17dc4b7494a41021a8f
BLAKE2b-256 71afe8c98b02123b1de5d3122d7e82781bd25255308beaf5b64b6d644b37193e

See more details on using hashes here.

File details

Details for the file pylife-2.1.3-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pylife-2.1.3-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 d411feeb75b56cb12273141798f49179e6c2473ed4dae99871d42b503d20982d
MD5 0e211fc0236a709202559b74a5cea981
BLAKE2b-256 d04c6944bc9941c0f0a2a5a1853f92fc04d1c71b016401acd6b4350ebdc4cc77

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