Skip to main content

General Fatigue library

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-2.0.3 has been released. That means that for the time being we hope that we will not introduce breaking changes. That does not mean that the release is stable finished and perfect. We will do small improvements, especially with respect to documentation in the upcoming months and release them as 2.0.x releases. Once we have noticeable feature additions we will come up with a 2.x.0 release. No ETA about that.

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


Download files

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

Source Distribution

pylife-2.1.1.tar.gz (8.0 MB view details)

Uploaded Source

Built Distributions

pylife-2.1.1-cp312-cp312-win_amd64.whl (219.7 kB view details)

Uploaded CPython 3.12 Windows x86-64

pylife-2.1.1-cp312-cp312-win32.whl (207.9 kB view details)

Uploaded CPython 3.12 Windows x86

pylife-2.1.1-cp312-cp312-musllinux_1_2_x86_64.whl (662.0 kB view details)

Uploaded CPython 3.12 musllinux: musl 1.2+ x86-64

pylife-2.1.1-cp312-cp312-musllinux_1_2_i686.whl (637.8 kB view details)

Uploaded CPython 3.12 musllinux: musl 1.2+ i686

pylife-2.1.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (638.6 kB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ x86-64

pylife-2.1.1-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (617.9 kB view details)

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

pylife-2.1.1-cp311-cp311-win_amd64.whl (220.3 kB view details)

Uploaded CPython 3.11 Windows x86-64

pylife-2.1.1-cp311-cp311-win32.whl (208.4 kB view details)

Uploaded CPython 3.11 Windows x86

pylife-2.1.1-cp311-cp311-musllinux_1_2_x86_64.whl (678.1 kB view details)

Uploaded CPython 3.11 musllinux: musl 1.2+ x86-64

pylife-2.1.1-cp311-cp311-musllinux_1_2_i686.whl (651.7 kB view details)

Uploaded CPython 3.11 musllinux: musl 1.2+ i686

pylife-2.1.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (657.3 kB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

pylife-2.1.1-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (646.5 kB view details)

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

pylife-2.1.1-cp310-cp310-win_amd64.whl (220.2 kB view details)

Uploaded CPython 3.10 Windows x86-64

pylife-2.1.1-cp310-cp310-win32.whl (208.7 kB view details)

Uploaded CPython 3.10 Windows x86

pylife-2.1.1-cp310-cp310-musllinux_1_2_x86_64.whl (637.8 kB view details)

Uploaded CPython 3.10 musllinux: musl 1.2+ x86-64

pylife-2.1.1-cp310-cp310-musllinux_1_2_i686.whl (619.3 kB view details)

Uploaded CPython 3.10 musllinux: musl 1.2+ i686

pylife-2.1.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (615.8 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

pylife-2.1.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (612.8 kB view details)

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

pylife-2.1.1-cp39-cp39-win_amd64.whl (220.8 kB view details)

Uploaded CPython 3.9 Windows x86-64

pylife-2.1.1-cp39-cp39-win32.whl (209.4 kB view details)

Uploaded CPython 3.9 Windows x86

pylife-2.1.1-cp39-cp39-musllinux_1_2_x86_64.whl (640.3 kB view details)

Uploaded CPython 3.9 musllinux: musl 1.2+ x86-64

pylife-2.1.1-cp39-cp39-musllinux_1_2_i686.whl (621.5 kB view details)

Uploaded CPython 3.9 musllinux: musl 1.2+ i686

pylife-2.1.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (619.0 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

pylife-2.1.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (615.5 kB view details)

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

pylife-2.1.1-cp38-cp38-win_amd64.whl (221.0 kB view details)

Uploaded CPython 3.8 Windows x86-64

pylife-2.1.1-cp38-cp38-win32.whl (209.3 kB view details)

Uploaded CPython 3.8 Windows x86

pylife-2.1.1-cp38-cp38-musllinux_1_2_x86_64.whl (651.5 kB view details)

Uploaded CPython 3.8 musllinux: musl 1.2+ x86-64

pylife-2.1.1-cp38-cp38-musllinux_1_2_i686.whl (630.3 kB view details)

Uploaded CPython 3.8 musllinux: musl 1.2+ i686

pylife-2.1.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (627.5 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

pylife-2.1.1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (621.2 kB view details)

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

File details

Details for the file pylife-2.1.1.tar.gz.

File metadata

  • Download URL: pylife-2.1.1.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-2.1.1.tar.gz
Algorithm Hash digest
SHA256 223e97f1bbaa4214f3e90276496bf8e59aa4986f543747b0429dd3035809c203
MD5 daa9cdcf44460e1518739d312c22792f
BLAKE2b-256 77355813c8d3df3667122cc2861633f9e288c404303a48eabecdad968f278fad

See more details on using hashes here.

File details

Details for the file pylife-2.1.1-cp312-cp312-win_amd64.whl.

File metadata

  • Download URL: pylife-2.1.1-cp312-cp312-win_amd64.whl
  • Upload date:
  • Size: 219.7 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-2.1.1-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 f42b009e74ad9b478eba446e247f7b6f6bd4cf786d645a511469d7e769989cbc
MD5 9967d10c5ba30b5fc1388fe7f09a907c
BLAKE2b-256 3bd26f82a66fdb3ce2aa98f6266cf3e945a65d3302e57e3e2e3a1372b633f6a2

See more details on using hashes here.

File details

Details for the file pylife-2.1.1-cp312-cp312-win32.whl.

File metadata

  • Download URL: pylife-2.1.1-cp312-cp312-win32.whl
  • Upload date:
  • Size: 207.9 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-2.1.1-cp312-cp312-win32.whl
Algorithm Hash digest
SHA256 9f1b1e58dccfe1a75e0434c23243f0f63fa42bf8a5e8463085ac92b5c7ecb9d0
MD5 6171cf85ff6de330814fec61fbc8c663
BLAKE2b-256 5fbc164e5df6029b5b240b94d9e01299e8ee3acb7f73817f9571b2104c1455f6

See more details on using hashes here.

File details

Details for the file pylife-2.1.1-cp312-cp312-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for pylife-2.1.1-cp312-cp312-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 6ae0030206d842ef5dc0205f390bc2a4797661495f049785d7b938b038d53d87
MD5 4e1984caf2685fa0584d63bd38862359
BLAKE2b-256 538cc1c774c54a9f9ae388859a0fc0bad153526e314981949b0dc99c9ece0745

See more details on using hashes here.

File details

Details for the file pylife-2.1.1-cp312-cp312-musllinux_1_2_i686.whl.

File metadata

File hashes

Hashes for pylife-2.1.1-cp312-cp312-musllinux_1_2_i686.whl
Algorithm Hash digest
SHA256 53ab9f14fa7f761d0aefe5a764841a7e0f330642a9f91a5c5eec9c30abea97f0
MD5 88fef73dc659404d7b9e5c1dc2a88bd1
BLAKE2b-256 0724e0cfcd18a255b733712fadc20c6e6b4a017422d5ea39417a6f30c4af6f03

See more details on using hashes here.

File details

Details for the file pylife-2.1.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pylife-2.1.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 a70f39f6639f76c1fc9c481a4f346d9460eb617b516e31c13aa07468d6cc3657
MD5 4feb67de36bc87de750a074d8011f7af
BLAKE2b-256 19ae99409f8f0f9cb1feef91e047c6173673a8c4b165b31f950d3db032dabfcb

See more details on using hashes here.

File details

Details for the file pylife-2.1.1-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pylife-2.1.1-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 b6ff5e12ee577a7bf4198700bb3826d108deac5a8afb826007a931494e95b1f4
MD5 ee8c0ab0b1a5e73a81447bc72071950a
BLAKE2b-256 a5f1e437d7673ec632763244854adeee28b168a099d6a319bc4c1bd9eed23816

See more details on using hashes here.

File details

Details for the file pylife-2.1.1-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: pylife-2.1.1-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 220.3 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-2.1.1-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 9d2b6e902120c8cefcf46ca89280dc7411857f022d6767a4f8d0589b1ee0f018
MD5 463afde848638a41fa86b49f5853ad2a
BLAKE2b-256 91bfe7e56b59ca89af435b3fffb419ca72994239f91d62c12e637fdcd6e01f0a

See more details on using hashes here.

File details

Details for the file pylife-2.1.1-cp311-cp311-win32.whl.

File metadata

  • Download URL: pylife-2.1.1-cp311-cp311-win32.whl
  • Upload date:
  • Size: 208.4 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-2.1.1-cp311-cp311-win32.whl
Algorithm Hash digest
SHA256 806dff85048d6733bd6e83e255a23840e52b047d8446ad949625ea74ede7eec8
MD5 8edc347c0787d470701a02ebfecb738c
BLAKE2b-256 c9f343c9247e0f2a22866ae5010ed49509fad86211a668d7da7552a150bf1188

See more details on using hashes here.

File details

Details for the file pylife-2.1.1-cp311-cp311-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for pylife-2.1.1-cp311-cp311-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 0da31deadbf5a14ee52749f55e1091048235596bbdf553426982ca22bd42d12e
MD5 e2a569be7c8f60a698e51c5b404f7b78
BLAKE2b-256 da3fa1e60e2af9c656682e62148a68b6cd7793619a2ce47ecb5703ec1a355277

See more details on using hashes here.

File details

Details for the file pylife-2.1.1-cp311-cp311-musllinux_1_2_i686.whl.

File metadata

File hashes

Hashes for pylife-2.1.1-cp311-cp311-musllinux_1_2_i686.whl
Algorithm Hash digest
SHA256 33830ff5b271d55ddbdd57ef8c0e0e904173f13310930cfd2bf5db24dc49b808
MD5 9cb580815157f58b1e4ff5831cc001b3
BLAKE2b-256 3a9ba3dc159ff1c369aec5fd214c14ae1e8e2680a300d8825e2b366a8f6d7ab1

See more details on using hashes here.

File details

Details for the file pylife-2.1.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pylife-2.1.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 b0cbd9ae3e8e3cc494db909d811b517e6a50d10ec3e8490310a63f84a08f1567
MD5 d02f8734652c02816eec05ef933fc791
BLAKE2b-256 9dd1d6044a46f5d09f2a6e74388b4d99f78c66b7613d1838071205c2e7b137fa

See more details on using hashes here.

File details

Details for the file pylife-2.1.1-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pylife-2.1.1-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 ade754fcec155a518d3b81a3c1e886bd1cdc0096168ea9f409ee5256b89b48f4
MD5 174a927d7eafd58b0df7167904416ba6
BLAKE2b-256 8eb6c6b5b8a177cd5f5853a7655873e46d53f98b0e6baacd8891c209689b9934

See more details on using hashes here.

File details

Details for the file pylife-2.1.1-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: pylife-2.1.1-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 220.2 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-2.1.1-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 2248063aa21e0625249bf226c212fd245ee5cd9888cdc64cf1321267f287b265
MD5 b8a28442684291cd10d9782333bb32c6
BLAKE2b-256 768fd8395f5c81ae93a1e2d8381a621a631e8152c0cdacf5e39b3b6e65962e41

See more details on using hashes here.

File details

Details for the file pylife-2.1.1-cp310-cp310-win32.whl.

File metadata

  • Download URL: pylife-2.1.1-cp310-cp310-win32.whl
  • Upload date:
  • Size: 208.7 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-2.1.1-cp310-cp310-win32.whl
Algorithm Hash digest
SHA256 a2ea13fb5f7d73e413e84359a63c3206ebf23b910b9a6070f7a8677d485230e8
MD5 6ece418525194f4a2c54a1fac2e5de21
BLAKE2b-256 f77f3159f6e4eada0bc46e46a2e731cd705fc195df2f64bafbe37a856db0c6c3

See more details on using hashes here.

File details

Details for the file pylife-2.1.1-cp310-cp310-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for pylife-2.1.1-cp310-cp310-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 dc813316a2c64947f0da12259967cb83161424010945472676301d8cbaf9c6b7
MD5 d6e587363316f103201f7a914a48c258
BLAKE2b-256 d0b3cbedd01852dbe6e47553d98cb13b6625a270599cc01ae59db60a89436e68

See more details on using hashes here.

File details

Details for the file pylife-2.1.1-cp310-cp310-musllinux_1_2_i686.whl.

File metadata

File hashes

Hashes for pylife-2.1.1-cp310-cp310-musllinux_1_2_i686.whl
Algorithm Hash digest
SHA256 378a04221a277bc06741b4145e0361a833077f43306fd29318a73621e1f4ca7d
MD5 9197b1400ab31352e1dc86a2a1fd0319
BLAKE2b-256 c470ca7d7f49b1a8438f59a5f2d8b16a59cd7fb1dd6a4117408239670ae530c9

See more details on using hashes here.

File details

Details for the file pylife-2.1.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pylife-2.1.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 c7adcd3105b6c93a6259b7aa83a681fb97e1046021e750a12aa4c702f83c3ed2
MD5 a49771c2e741c93f1071372d634a0034
BLAKE2b-256 3a5913357d0e02baeb789ebe87d99490a2086a5aa4cbad87a76583c755735045

See more details on using hashes here.

File details

Details for the file pylife-2.1.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pylife-2.1.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 95f22434c461c632c1c92204630a77a66fa85093d688cc5579e48744c89f8c91
MD5 8a0248eb2dd1120fffe6ac8e648ca1f1
BLAKE2b-256 f99c3332359ae642e0fbf8ef283bac06f32048cea0fd87fa99a09aed8773365f

See more details on using hashes here.

File details

Details for the file pylife-2.1.1-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: pylife-2.1.1-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 220.8 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-2.1.1-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 a23a1099e61e0503ce5624df538e9b6188750054339c3d8a39393b88efdf2f3e
MD5 4f73ce5568c942677cadf190bcc5591c
BLAKE2b-256 fcab24ebe04de0c1a777776165145efeae0a06443eebbf62848fae4c024a9158

See more details on using hashes here.

File details

Details for the file pylife-2.1.1-cp39-cp39-win32.whl.

File metadata

  • Download URL: pylife-2.1.1-cp39-cp39-win32.whl
  • Upload date:
  • Size: 209.4 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-2.1.1-cp39-cp39-win32.whl
Algorithm Hash digest
SHA256 36e688dbb02343df21c5abd54b057c1b483366ff22a6b431c73cb120004be7b8
MD5 666d77d32cb701e38a5f81d6b01f708a
BLAKE2b-256 56b3e95ddf30d766b2597c04769c8e351d7b3263030ac7b32495daf5b644fa2a

See more details on using hashes here.

File details

Details for the file pylife-2.1.1-cp39-cp39-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for pylife-2.1.1-cp39-cp39-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 7709dceae578ce7f083fe7269905c5fbab0b350055eae07221c69ee3a286970a
MD5 fe7148d80e729e0fa425ce868d816310
BLAKE2b-256 83b7a4d56cab7d44cc2d091332d6457c47af401332a5149d610d09023da55514

See more details on using hashes here.

File details

Details for the file pylife-2.1.1-cp39-cp39-musllinux_1_2_i686.whl.

File metadata

File hashes

Hashes for pylife-2.1.1-cp39-cp39-musllinux_1_2_i686.whl
Algorithm Hash digest
SHA256 61389a67df5c2a31da46695a1fa3e5e955bfc5f3345f59f19b703c846014c333
MD5 c4c0c0a1dc2fb1e24cb6d7ab7923d48a
BLAKE2b-256 15726367b69f33cd51fd96a0b4da4e23091eaf4ea698461edc94896aec53616c

See more details on using hashes here.

File details

Details for the file pylife-2.1.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pylife-2.1.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 a3b834a5fb480ef098184d813874876eb6cbccfa8c6145d10f45ba09a0150e8e
MD5 aa8865189e537a3aeaafcfd3884c1da1
BLAKE2b-256 dd960c1df141806f61dd32fee4f86ef8521d0e3ed062af655ee17d375a3190da

See more details on using hashes here.

File details

Details for the file pylife-2.1.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pylife-2.1.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 e7b4506658c3c2fbfe2d3ba92c99b102dbb67bed496e1732edeac855e34b8863
MD5 a766888cf16f8ad015837c358d5becef
BLAKE2b-256 d9ee77645c870f1bc5aee358fca5f8c3d66882b90f70451bd0618842f3d221bd

See more details on using hashes here.

File details

Details for the file pylife-2.1.1-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: pylife-2.1.1-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 221.0 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-2.1.1-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 005d328fe11100e570284e65d7a8a74c4b6f213c219639348f3e8429713ea6c4
MD5 42167b363a86cf5702776eaa27272140
BLAKE2b-256 05ac338b15fb879e915a5da561fd5abba2334137137402c209f6fc1f4253da30

See more details on using hashes here.

File details

Details for the file pylife-2.1.1-cp38-cp38-win32.whl.

File metadata

  • Download URL: pylife-2.1.1-cp38-cp38-win32.whl
  • Upload date:
  • Size: 209.3 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-2.1.1-cp38-cp38-win32.whl
Algorithm Hash digest
SHA256 bb30ada415f33cdc455e7f59f33c61c7bac27d45b5e63e32fa2b8a0c31d37923
MD5 bc681e619338c1b03af07e0659aa2627
BLAKE2b-256 534a16b270706c3c7ff1f3a9201955474a77e84824d69ca9bee39e703c35df47

See more details on using hashes here.

File details

Details for the file pylife-2.1.1-cp38-cp38-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for pylife-2.1.1-cp38-cp38-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 bdfc8b9823651bd8204057a7147c69aef6991081d6944acab43713d8cfa22ede
MD5 5cdd4205c1dbdfac9c4a055ce47cccd2
BLAKE2b-256 0cae169a32098191256dc2cd63958b31dcbe3784bce9b62e7bfb6b9a37a688d8

See more details on using hashes here.

File details

Details for the file pylife-2.1.1-cp38-cp38-musllinux_1_2_i686.whl.

File metadata

File hashes

Hashes for pylife-2.1.1-cp38-cp38-musllinux_1_2_i686.whl
Algorithm Hash digest
SHA256 206265ecb00de9015655f4f86b8aa1e71e89ee62001752ac7903842c58a76549
MD5 d35f012a7093b8d640e58ca137c4c5c0
BLAKE2b-256 896432cec4c2be4a196d309c810ba96af16ae8a3a3159bdecce0fad52f3acc57

See more details on using hashes here.

File details

Details for the file pylife-2.1.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pylife-2.1.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 6af1ab7f91afc0909770c4c1fcd8e654644cd93542921ce397a3d6d2800ece90
MD5 67d0b00bb8c673fb3e4a727de3fad2cf
BLAKE2b-256 5b4c2186918de60c99c4e097df5b70186a0246229c31e1c2bfb21211871c928d

See more details on using hashes here.

File details

Details for the file pylife-2.1.1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pylife-2.1.1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 419eed98e0d34ffdeea2be548d9ae59f11e1c0b668988246f2f8d673b74a7b6a
MD5 9509b593a4556c6a8200c6d632fd3417
BLAKE2b-256 c93612f34b730f1fdbfdf2ed578b0ea5fe23fde273a289ae091655d166587889

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