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-2.1.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
    • local strain concept: FKM guideline nonlinear
    • ...
  • 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-2.2.0a2.tar.gz (10.6 MB view details)

Uploaded Source

Built Distributions

pylife-2.2.0a2-cp312-cp312-win_amd64.whl (294.4 kB view details)

Uploaded CPython 3.12 Windows x86-64

pylife-2.2.0a2-cp312-cp312-win32.whl (282.7 kB view details)

Uploaded CPython 3.12 Windows x86

pylife-2.2.0a2-cp312-cp312-musllinux_1_2_x86_64.whl (736.5 kB view details)

Uploaded CPython 3.12 musllinux: musl 1.2+ x86-64

pylife-2.2.0a2-cp312-cp312-musllinux_1_2_i686.whl (712.3 kB view details)

Uploaded CPython 3.12 musllinux: musl 1.2+ i686

pylife-2.2.0a2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (713.2 kB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ x86-64

pylife-2.2.0a2-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (692.5 kB view details)

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

pylife-2.2.0a2-cp311-cp311-win_amd64.whl (295.0 kB view details)

Uploaded CPython 3.11 Windows x86-64

pylife-2.2.0a2-cp311-cp311-win32.whl (283.1 kB view details)

Uploaded CPython 3.11 Windows x86

pylife-2.2.0a2-cp311-cp311-musllinux_1_2_x86_64.whl (752.6 kB view details)

Uploaded CPython 3.11 musllinux: musl 1.2+ x86-64

pylife-2.2.0a2-cp311-cp311-musllinux_1_2_i686.whl (726.2 kB view details)

Uploaded CPython 3.11 musllinux: musl 1.2+ i686

pylife-2.2.0a2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (731.8 kB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

pylife-2.2.0a2-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (721.0 kB view details)

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

pylife-2.2.0a2-cp310-cp310-win_amd64.whl (295.0 kB view details)

Uploaded CPython 3.10 Windows x86-64

pylife-2.2.0a2-cp310-cp310-win32.whl (283.5 kB view details)

Uploaded CPython 3.10 Windows x86

pylife-2.2.0a2-cp310-cp310-musllinux_1_2_x86_64.whl (712.3 kB view details)

Uploaded CPython 3.10 musllinux: musl 1.2+ x86-64

pylife-2.2.0a2-cp310-cp310-musllinux_1_2_i686.whl (693.8 kB view details)

Uploaded CPython 3.10 musllinux: musl 1.2+ i686

pylife-2.2.0a2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (690.4 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

pylife-2.2.0a2-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (687.4 kB view details)

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

pylife-2.2.0a2-cp39-cp39-win_amd64.whl (295.5 kB view details)

Uploaded CPython 3.9 Windows x86-64

pylife-2.2.0a2-cp39-cp39-win32.whl (284.1 kB view details)

Uploaded CPython 3.9 Windows x86

pylife-2.2.0a2-cp39-cp39-musllinux_1_2_x86_64.whl (714.9 kB view details)

Uploaded CPython 3.9 musllinux: musl 1.2+ x86-64

pylife-2.2.0a2-cp39-cp39-musllinux_1_2_i686.whl (696.1 kB view details)

Uploaded CPython 3.9 musllinux: musl 1.2+ i686

pylife-2.2.0a2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (693.6 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

pylife-2.2.0a2-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (690.0 kB view details)

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

pylife-2.2.0a2-cp38-cp38-win_amd64.whl (295.7 kB view details)

Uploaded CPython 3.8 Windows x86-64

pylife-2.2.0a2-cp38-cp38-win32.whl (284.0 kB view details)

Uploaded CPython 3.8 Windows x86

pylife-2.2.0a2-cp38-cp38-musllinux_1_2_x86_64.whl (726.1 kB view details)

Uploaded CPython 3.8 musllinux: musl 1.2+ x86-64

pylife-2.2.0a2-cp38-cp38-musllinux_1_2_i686.whl (704.9 kB view details)

Uploaded CPython 3.8 musllinux: musl 1.2+ i686

pylife-2.2.0a2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (702.1 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

pylife-2.2.0a2-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (695.8 kB view details)

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

File details

Details for the file pylife-2.2.0a2.tar.gz.

File metadata

  • Download URL: pylife-2.2.0a2.tar.gz
  • Upload date:
  • Size: 10.6 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.12.7

File hashes

Hashes for pylife-2.2.0a2.tar.gz
Algorithm Hash digest
SHA256 b2e3ee2d14121dd2813a90e990e2b9c36532db95bea2256ea2833aeccde36a3e
MD5 c8add4594af7419f4168031b6be825de
BLAKE2b-256 a4c893cf7e71ccd08d3b4350c928dcd7dd0c5da519881091cfe7add0d2893694

See more details on using hashes here.

File details

Details for the file pylife-2.2.0a2-cp312-cp312-win_amd64.whl.

File metadata

  • Download URL: pylife-2.2.0a2-cp312-cp312-win_amd64.whl
  • Upload date:
  • Size: 294.4 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-2.2.0a2-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 a89005171b4b439895950e50501f38025bfd6b03fbe5981852feb8ecc28615ca
MD5 e47e6ff490f7e440c967e8410670e156
BLAKE2b-256 eb13f032aedc18534e2e1ba0c9aa293d714f457ed2045076d402f83662c259a5

See more details on using hashes here.

File details

Details for the file pylife-2.2.0a2-cp312-cp312-win32.whl.

File metadata

  • Download URL: pylife-2.2.0a2-cp312-cp312-win32.whl
  • Upload date:
  • Size: 282.7 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-2.2.0a2-cp312-cp312-win32.whl
Algorithm Hash digest
SHA256 0763b7f3148038c1c053f62f37a1c2ddce11bd8dc6de5247ba5fd682d5e1a691
MD5 6820c576a106e4e9cab21a35b62bf215
BLAKE2b-256 4f904be59d3fe3d9c3a8e281d7d6dfd512ccc09680db235b863a5174a1cea395

See more details on using hashes here.

File details

Details for the file pylife-2.2.0a2-cp312-cp312-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for pylife-2.2.0a2-cp312-cp312-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 650d999f3b0282c6af85df530f8d7137f5280f031b0c6f5909750e9c6f71a4bc
MD5 c3b8214a58647e4f1e14f423c96f789a
BLAKE2b-256 5ef63a376d418bfca2ae28756c2a18c0bffda04ecc02cc6a3d0a76f7cf767ff8

See more details on using hashes here.

File details

Details for the file pylife-2.2.0a2-cp312-cp312-musllinux_1_2_i686.whl.

File metadata

File hashes

Hashes for pylife-2.2.0a2-cp312-cp312-musllinux_1_2_i686.whl
Algorithm Hash digest
SHA256 24c4bf615236c7890f712daec937b1a9634d57a483e145dea1473b601ec1aad9
MD5 1005e64163ce41fbcdbcdd4dcd8f5f6f
BLAKE2b-256 455c591cce3ff0c129d401005d70049530c55f8553fb0e4f2aa71acf7824fa75

See more details on using hashes here.

File details

Details for the file pylife-2.2.0a2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pylife-2.2.0a2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 8f1e803c41f3657bc6e2ed265842798d75484e1c8709d531c54929b00be59f0d
MD5 312e08f761c62b3a20d414f5b9c94cdf
BLAKE2b-256 273052e4dc9becf8a4cc6636ed62eac9191277005c489317d39283bb128513c4

See more details on using hashes here.

File details

Details for the file pylife-2.2.0a2-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pylife-2.2.0a2-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 85fe05ddc2e2e7c93e3e51df32f2ace4808de216c6031da512284e494625aaaa
MD5 d527e15bc36d6ebe93ac02553cefb322
BLAKE2b-256 98e882fe0f9233a4cae6436a16a92ff5ba32de655c0206ba928b8b64f37fa89e

See more details on using hashes here.

File details

Details for the file pylife-2.2.0a2-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: pylife-2.2.0a2-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 295.0 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-2.2.0a2-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 3fbecc020f15cb577535a6b40755f8d28273d06a47e7185bd6dc65c14f2d47e8
MD5 de0fbe65246643597f03045a6e6cda87
BLAKE2b-256 243cadfab18adfaadc7287d70fba7ef64835f4c97633bbb8c47edae5e530b1b6

See more details on using hashes here.

File details

Details for the file pylife-2.2.0a2-cp311-cp311-win32.whl.

File metadata

  • Download URL: pylife-2.2.0a2-cp311-cp311-win32.whl
  • Upload date:
  • Size: 283.1 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-2.2.0a2-cp311-cp311-win32.whl
Algorithm Hash digest
SHA256 8381eab055a92c9215ab8e58f621e38e06a84948b609e19ed3d934008424a82a
MD5 808944f4059d26b368dff53a400ba8bf
BLAKE2b-256 48bda417a627b113ef37875b54b5512072fa8f66d3dc87d835539738dc4989ce

See more details on using hashes here.

File details

Details for the file pylife-2.2.0a2-cp311-cp311-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for pylife-2.2.0a2-cp311-cp311-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 635ec4cbdf220e745091c85cc1c0d547a226a7cc6dd06ac10a5451b0001f1b9c
MD5 d0a9cec3177a4ca74448759d248d3134
BLAKE2b-256 59720a68f36df162bf982ce3bae7f56fb180fdcefeb3235c8763b961bd5f96a4

See more details on using hashes here.

File details

Details for the file pylife-2.2.0a2-cp311-cp311-musllinux_1_2_i686.whl.

File metadata

File hashes

Hashes for pylife-2.2.0a2-cp311-cp311-musllinux_1_2_i686.whl
Algorithm Hash digest
SHA256 619dfe1b7ae68e3d35aea0c3cc965e9151051e52e68693f77a5846129bae7c5c
MD5 a1a4d3788755163746d1a49314d35264
BLAKE2b-256 8878a99a39fd02057f01a651b840ab4b90773ede6587cb6d11af49f9d43c0c90

See more details on using hashes here.

File details

Details for the file pylife-2.2.0a2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pylife-2.2.0a2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 83ddc9395bd3d22d661c5b6352652ff527ba0fcb22c2387002cce7ef617883d5
MD5 955590d9993be07b1b90d580e3fb8283
BLAKE2b-256 f0a7683083fa6491a0404b48e7d2cead5b9c83b1988d6c01e557daccad2b6fb9

See more details on using hashes here.

File details

Details for the file pylife-2.2.0a2-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pylife-2.2.0a2-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 f3e836803c89d1f87fc1289ebeb51448d0a5ca7c6a467e11c7e40569789b44cc
MD5 f900dd7768daed6b8febac1df40a9ebc
BLAKE2b-256 cc9a184640610b30d83ea6b77577418e7817ac9a86040c636958afedc8799562

See more details on using hashes here.

File details

Details for the file pylife-2.2.0a2-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: pylife-2.2.0a2-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 295.0 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-2.2.0a2-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 96f65e73742ea72963651316ceb5f30c06851da5d9022b8e677088a353a04533
MD5 03a3b2ed68fdd246d47e7903458c50e9
BLAKE2b-256 f554d4a26f4502850c624d498c2ca8a028ff1e2b4001a377ddf4e6007df4f041

See more details on using hashes here.

File details

Details for the file pylife-2.2.0a2-cp310-cp310-win32.whl.

File metadata

  • Download URL: pylife-2.2.0a2-cp310-cp310-win32.whl
  • Upload date:
  • Size: 283.5 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-2.2.0a2-cp310-cp310-win32.whl
Algorithm Hash digest
SHA256 b79770c9c6337aff1ad912a3a22070e2f8449f0a2a14330d57997cd96e2cd212
MD5 38543a2c7bffc18be94ef557fa85f1ef
BLAKE2b-256 629ed5773f6c512750ca63e9a48833e21d5e599c783a51ab7f44df122db04229

See more details on using hashes here.

File details

Details for the file pylife-2.2.0a2-cp310-cp310-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for pylife-2.2.0a2-cp310-cp310-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 f6639d322adfdcbdf8673946ed2fc45f4c7dbd3a670189568874aa44c03160cf
MD5 e019bb8396606786199d43eebfc34ccb
BLAKE2b-256 167f169b5c78419b162529f4ece642f7cea68a8dcb5c215d62f79f3bf3d503c9

See more details on using hashes here.

File details

Details for the file pylife-2.2.0a2-cp310-cp310-musllinux_1_2_i686.whl.

File metadata

File hashes

Hashes for pylife-2.2.0a2-cp310-cp310-musllinux_1_2_i686.whl
Algorithm Hash digest
SHA256 10132012b37afc077eccc539d70a4263fded628f2c35c90ddb0432c5490fef3e
MD5 a5340e080972853f75fb6af637fe157c
BLAKE2b-256 084ee0297631ccac9685321d084b91ebbab822bd90c1e16833a98fb8eb5b5389

See more details on using hashes here.

File details

Details for the file pylife-2.2.0a2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pylife-2.2.0a2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 aeba00d6065c551c0395501116b91dd3e5a2278363183288588f245243f5814e
MD5 adfe5a2ee0af5998c30fb5baec3d9c8e
BLAKE2b-256 09d429ccf6a20f810e3442d189b647d50cd28977f7a34a9791f3a2700f729f72

See more details on using hashes here.

File details

Details for the file pylife-2.2.0a2-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pylife-2.2.0a2-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 854dde68360ee2d42b01b98ef652bec2bda9eddb9babeb6b431ffc0f2afab08e
MD5 6a51197354137ba05fd50e1114150387
BLAKE2b-256 0d1511e903164f5984a425d5b5ac486f33460925cc1da1d68380b0c21e4fe15f

See more details on using hashes here.

File details

Details for the file pylife-2.2.0a2-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: pylife-2.2.0a2-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 295.5 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-2.2.0a2-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 b9e01900add68b9d3bb98a0228aa91be630e95c66b01b806a73afcb762bdfc72
MD5 4b32418ac6ee0f536eee1da98061d7a0
BLAKE2b-256 5d89aaa8f6e63e833ab16fb589fc098d2ed6fe0d670ff0935f415b1ee9ba2f74

See more details on using hashes here.

File details

Details for the file pylife-2.2.0a2-cp39-cp39-win32.whl.

File metadata

  • Download URL: pylife-2.2.0a2-cp39-cp39-win32.whl
  • Upload date:
  • Size: 284.1 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-2.2.0a2-cp39-cp39-win32.whl
Algorithm Hash digest
SHA256 f4236b53d1df20cfcf6d7669db0cc7595960a181ec14a8c620bb35e3c616f521
MD5 ab0ee2b043b741802e553b7b74e494a3
BLAKE2b-256 b22c1bc983f416606fa013a2f884d57f600238c5d32e72a2f67f51a0848fa1da

See more details on using hashes here.

File details

Details for the file pylife-2.2.0a2-cp39-cp39-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for pylife-2.2.0a2-cp39-cp39-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 f975d2b706e056cbba167402cf620af07c71ba533c0c89b1d7ecd463ccf769d3
MD5 8c2faa24a34c989ea68d39f119968be7
BLAKE2b-256 5bd2104fbd8a00ccbe863ab3967d018d06a2908eb1b97177964f5bef88cadfa6

See more details on using hashes here.

File details

Details for the file pylife-2.2.0a2-cp39-cp39-musllinux_1_2_i686.whl.

File metadata

File hashes

Hashes for pylife-2.2.0a2-cp39-cp39-musllinux_1_2_i686.whl
Algorithm Hash digest
SHA256 341987fc763625836f0f626c3603b65d1e03a561a58591d93b680eb18dbe291b
MD5 b5fda95339f605718521e2e96750f380
BLAKE2b-256 b3b183266c147f508ac4da38946e3fd160f5f2cd88c13a2bd98e1ee3111c698c

See more details on using hashes here.

File details

Details for the file pylife-2.2.0a2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pylife-2.2.0a2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 0c4427e7409b06f8b01fdd93f709703d80ae9a9b85f1369e6055b3c7e1ae64c9
MD5 d28dce6c906b181d12ca5a085c817a15
BLAKE2b-256 4d95fc96aa02c9b5ce31b0d97091c9a9c752e2c133c10da2bce68078d280bafa

See more details on using hashes here.

File details

Details for the file pylife-2.2.0a2-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pylife-2.2.0a2-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 b70bc6b8eb3cb02a8bf4d028d81e9cc949c18ffc28ed5dcb29bd5c05206908ea
MD5 fd131aec138e3e1fae17fb3c43eaf7ae
BLAKE2b-256 198eeda9b166363470372c0fe1a43e006c39ee52b16e3fcd0af9a4869bb36279

See more details on using hashes here.

File details

Details for the file pylife-2.2.0a2-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: pylife-2.2.0a2-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 295.7 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-2.2.0a2-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 aae4fb1a347be4fb53a8f9b069e59830e1f043f992aa6fa48f31cb594e4daf68
MD5 237697be71e5f90895fc0e69d3be0dcf
BLAKE2b-256 31886789493c8798d5014a8a2b279003402d82c7c2d1cbe44604bf46a69b5407

See more details on using hashes here.

File details

Details for the file pylife-2.2.0a2-cp38-cp38-win32.whl.

File metadata

  • Download URL: pylife-2.2.0a2-cp38-cp38-win32.whl
  • Upload date:
  • Size: 284.0 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-2.2.0a2-cp38-cp38-win32.whl
Algorithm Hash digest
SHA256 f67db1634e5ab892a97d13c0830a11041bf623c18a9fdfa9fdcfbc7af0923056
MD5 d28b3245732aa86e35d5b32a34d09eb2
BLAKE2b-256 c1ca75bf57639604f4b9883c8ad9e2cc1d9266292e4ed956d75c08ddaba9c770

See more details on using hashes here.

File details

Details for the file pylife-2.2.0a2-cp38-cp38-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for pylife-2.2.0a2-cp38-cp38-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 26398dac50eb62e03967a13dab2b100fa372d56b5f67ecdf91e9b7778f8a92f1
MD5 35c575f0ef40b012e246a7af3bfa568e
BLAKE2b-256 3853ae5dbe1e15f16c8cbf429da7639586b24fa28691b2513e5d0f91c42d524f

See more details on using hashes here.

File details

Details for the file pylife-2.2.0a2-cp38-cp38-musllinux_1_2_i686.whl.

File metadata

File hashes

Hashes for pylife-2.2.0a2-cp38-cp38-musllinux_1_2_i686.whl
Algorithm Hash digest
SHA256 137afffbe9746d09b1d65673ef216d1beca620c77933bd9f6cae8e1e40eb68fc
MD5 edc9813f0027e53c9fd4f98eb1347a04
BLAKE2b-256 eee1c8705603f227a85150039a09ae9fe3e5cf2d498c3afab1baf8583225e18e

See more details on using hashes here.

File details

Details for the file pylife-2.2.0a2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pylife-2.2.0a2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 f76d0fc7e5f9750bcb24d18fd8bebd4166c658af30aaf9edd304eecf520478d4
MD5 cc79428a9d7185f650699762ec343079
BLAKE2b-256 f183f9c833df8e7e9e7ce77fc9200a13a4c3e7bb08396aec9627b2775ac35d31

See more details on using hashes here.

File details

Details for the file pylife-2.2.0a2-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pylife-2.2.0a2-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 9980a2a66825faf5409ba8d7b56b9e6bdf166de23245c9bc9d88f20319f4b69f
MD5 ceb8385c30e8e117d1c2fa7c3f816179
BLAKE2b-256 21a929493b220f7feaf1b54aafd9c81d756803df3ca4867ab77c3245913d7f17

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