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-2.2.0a3.tar.gz (10.6 MB view details)

Uploaded Source

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

pylife-2.2.0a3-cp313-cp313-win_amd64.whl (293.8 kB view details)

Uploaded CPython 3.13Windows x86-64

pylife-2.2.0a3-cp313-cp313-win32.whl (282.5 kB view details)

Uploaded CPython 3.13Windows x86

pylife-2.2.0a3-cp313-cp313-musllinux_1_2_x86_64.whl (731.8 kB view details)

Uploaded CPython 3.13musllinux: musl 1.2+ x86-64

pylife-2.2.0a3-cp313-cp313-musllinux_1_2_i686.whl (708.3 kB view details)

Uploaded CPython 3.13musllinux: musl 1.2+ i686

pylife-2.2.0a3-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (709.0 kB view details)

Uploaded CPython 3.13manylinux: glibc 2.17+ x86-64

pylife-2.2.0a3-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (698.0 kB view details)

Uploaded CPython 3.13manylinux: glibc 2.17+ i686manylinux: glibc 2.5+ i686

pylife-2.2.0a3-cp312-cp312-win_amd64.whl (294.0 kB view details)

Uploaded CPython 3.12Windows x86-64

pylife-2.2.0a3-cp312-cp312-win32.whl (282.6 kB view details)

Uploaded CPython 3.12Windows x86

pylife-2.2.0a3-cp312-cp312-musllinux_1_2_x86_64.whl (736.5 kB view details)

Uploaded CPython 3.12musllinux: musl 1.2+ x86-64

pylife-2.2.0a3-cp312-cp312-musllinux_1_2_i686.whl (712.3 kB view details)

Uploaded CPython 3.12musllinux: musl 1.2+ i686

pylife-2.2.0a3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (713.2 kB view details)

Uploaded CPython 3.12manylinux: glibc 2.17+ x86-64

pylife-2.2.0a3-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (692.5 kB view details)

Uploaded CPython 3.12manylinux: glibc 2.17+ i686manylinux: glibc 2.5+ i686

pylife-2.2.0a3-cp311-cp311-win_amd64.whl (294.7 kB view details)

Uploaded CPython 3.11Windows x86-64

pylife-2.2.0a3-cp311-cp311-win32.whl (283.1 kB view details)

Uploaded CPython 3.11Windows x86

pylife-2.2.0a3-cp311-cp311-musllinux_1_2_x86_64.whl (752.6 kB view details)

Uploaded CPython 3.11musllinux: musl 1.2+ x86-64

pylife-2.2.0a3-cp311-cp311-musllinux_1_2_i686.whl (726.2 kB view details)

Uploaded CPython 3.11musllinux: musl 1.2+ i686

pylife-2.2.0a3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (731.8 kB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ x86-64

pylife-2.2.0a3-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (721.0 kB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ i686manylinux: glibc 2.5+ i686

pylife-2.2.0a3-cp310-cp310-win_amd64.whl (294.5 kB view details)

Uploaded CPython 3.10Windows x86-64

pylife-2.2.0a3-cp310-cp310-win32.whl (283.4 kB view details)

Uploaded CPython 3.10Windows x86

pylife-2.2.0a3-cp310-cp310-musllinux_1_2_x86_64.whl (712.3 kB view details)

Uploaded CPython 3.10musllinux: musl 1.2+ x86-64

pylife-2.2.0a3-cp310-cp310-musllinux_1_2_i686.whl (693.8 kB view details)

Uploaded CPython 3.10musllinux: musl 1.2+ i686

pylife-2.2.0a3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (690.4 kB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ x86-64

pylife-2.2.0a3-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (687.3 kB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ i686manylinux: glibc 2.5+ i686

pylife-2.2.0a3-cp39-cp39-win_amd64.whl (295.0 kB view details)

Uploaded CPython 3.9Windows x86-64

pylife-2.2.0a3-cp39-cp39-win32.whl (284.0 kB view details)

Uploaded CPython 3.9Windows x86

pylife-2.2.0a3-cp39-cp39-musllinux_1_2_x86_64.whl (714.8 kB view details)

Uploaded CPython 3.9musllinux: musl 1.2+ x86-64

pylife-2.2.0a3-cp39-cp39-musllinux_1_2_i686.whl (696.0 kB view details)

Uploaded CPython 3.9musllinux: musl 1.2+ i686

pylife-2.2.0a3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (693.6 kB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ x86-64

pylife-2.2.0a3-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (690.0 kB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ i686manylinux: glibc 2.5+ i686

File details

Details for the file pylife-2.2.0a3.tar.gz.

File metadata

  • Download URL: pylife-2.2.0a3.tar.gz
  • Upload date:
  • Size: 10.6 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.12.8

File hashes

Hashes for pylife-2.2.0a3.tar.gz
Algorithm Hash digest
SHA256 d3aa3e58011a93b69e61fa5e596bd462cb7a3ba8a78347d693549512bc507835
MD5 ec960f6830eec7b0fd4259025682ecd6
BLAKE2b-256 86a2983e8d234b26efccaae2f1599caf193cfaa2d267558bfdc01439660b0fa1

See more details on using hashes here.

File details

Details for the file pylife-2.2.0a3-cp313-cp313-win_amd64.whl.

File metadata

  • Download URL: pylife-2.2.0a3-cp313-cp313-win_amd64.whl
  • Upload date:
  • Size: 293.8 kB
  • Tags: CPython 3.13, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.12.8

File hashes

Hashes for pylife-2.2.0a3-cp313-cp313-win_amd64.whl
Algorithm Hash digest
SHA256 a0ac69daec3904a663ab2075648c961aeb28a9d6fbe5428942cb9ec7cd9813a6
MD5 1fbfbe38d30d7fbe9ee2a25ef17449e8
BLAKE2b-256 517aa1e7dc726c796de000cd60ef151bb8eeec02229347407fb1d9246a11292f

See more details on using hashes here.

File details

Details for the file pylife-2.2.0a3-cp313-cp313-win32.whl.

File metadata

  • Download URL: pylife-2.2.0a3-cp313-cp313-win32.whl
  • Upload date:
  • Size: 282.5 kB
  • Tags: CPython 3.13, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.12.8

File hashes

Hashes for pylife-2.2.0a3-cp313-cp313-win32.whl
Algorithm Hash digest
SHA256 687606790271e435a49ae9038d6acb0193c15063c9a01b5254845b51deac5e8a
MD5 c90e7d2dfb5fa085169c0589e4183cbd
BLAKE2b-256 967f89616e145a3be8942b30c405513f3e1ffae15777d1bd21bea5bdd491ef99

See more details on using hashes here.

File details

Details for the file pylife-2.2.0a3-cp313-cp313-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for pylife-2.2.0a3-cp313-cp313-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 7ae6276b92f8ef7d2f3a7c0a467aae7be003421680cdfe1b0f4768abab17bd16
MD5 35766dccf5afe0a99d2b92c58cbce505
BLAKE2b-256 5b8c5a91613be6543ccb9fd57541167fb2754a2684e4ac3cfd460aaa2b59d19e

See more details on using hashes here.

File details

Details for the file pylife-2.2.0a3-cp313-cp313-musllinux_1_2_i686.whl.

File metadata

File hashes

Hashes for pylife-2.2.0a3-cp313-cp313-musllinux_1_2_i686.whl
Algorithm Hash digest
SHA256 34bf8e5c810a4f28124578254314e761d5df3fd05b346e47a779ee6dddb30e3d
MD5 837b7367e9c02b0acf7e2ccf8d096ce9
BLAKE2b-256 12498d1acc985c409285475d566b9f7f3896c810e5c0ee2f97b32eab943b2745

See more details on using hashes here.

File details

Details for the file pylife-2.2.0a3-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pylife-2.2.0a3-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 dea41859f34c78a089c05149f0f6d9e5dbebc031a8327fb5e8bb6c72ed05ae83
MD5 ffc3c2e790ff10465c01ae522e21700c
BLAKE2b-256 859def96ee00e0e722fc49f88e9f8fab9df75fbc86eb03f466563deece2c478b

See more details on using hashes here.

File details

Details for the file pylife-2.2.0a3-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pylife-2.2.0a3-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 a2b6a0143ddfe1dac12d63e5f111cb3fc685778099bed47d23d6c67ccac07de7
MD5 85a80a13f53166d7be4d0306c9fde16a
BLAKE2b-256 4c75d4d3f6cbc27d686de71172cfb7979f64398cfa049c2697a76f483b8b94c8

See more details on using hashes here.

File details

Details for the file pylife-2.2.0a3-cp312-cp312-win_amd64.whl.

File metadata

  • Download URL: pylife-2.2.0a3-cp312-cp312-win_amd64.whl
  • Upload date:
  • Size: 294.0 kB
  • Tags: CPython 3.12, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.12.8

File hashes

Hashes for pylife-2.2.0a3-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 8bf2f7e762a8aa96eb5a67da73f17f5a5e05c7eb898013e0e20b06a639ac1b0e
MD5 301cef5a71f7b243d10a0beb953bbb78
BLAKE2b-256 7f42fe1ce70423afac9d01f71d84f822293edceb7535607cfb6dc56b5cfcda85

See more details on using hashes here.

File details

Details for the file pylife-2.2.0a3-cp312-cp312-win32.whl.

File metadata

  • Download URL: pylife-2.2.0a3-cp312-cp312-win32.whl
  • Upload date:
  • Size: 282.6 kB
  • Tags: CPython 3.12, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.12.8

File hashes

Hashes for pylife-2.2.0a3-cp312-cp312-win32.whl
Algorithm Hash digest
SHA256 2b4f7d97816c3759e79fb7da0140377dbb5b69fbd502d8f06333bda459ff75f3
MD5 3ed5ea8308e216631aa391d2da70dab2
BLAKE2b-256 142b1112ddc65f2b33768105d4c493663fa59bb1ec7e37df40f17531c3ddb93a

See more details on using hashes here.

File details

Details for the file pylife-2.2.0a3-cp312-cp312-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for pylife-2.2.0a3-cp312-cp312-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 e3b2a71a6273f40cfab09a0d9db5b0bf99a35fd7871a6678948db565b3d4f0cb
MD5 47168347585b5af5216e5535969b309a
BLAKE2b-256 e8a884363dacd8b64feb9bbba948ec441ee12bf7170af7782bee0f98188778a6

See more details on using hashes here.

File details

Details for the file pylife-2.2.0a3-cp312-cp312-musllinux_1_2_i686.whl.

File metadata

File hashes

Hashes for pylife-2.2.0a3-cp312-cp312-musllinux_1_2_i686.whl
Algorithm Hash digest
SHA256 2e36a94b3b55d18d4079718c46d436dff2295eabe7e9d822dcf654740df8b7c2
MD5 925866cd6753560d9940376f83ffaff5
BLAKE2b-256 f458971ed0a8687d9950620db3757656d45d9ea70a55b2fe2e9ffc6e26ce745a

See more details on using hashes here.

File details

Details for the file pylife-2.2.0a3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pylife-2.2.0a3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 465bf75af04b999001feb2760fd72aee349c976c853b5cf67812a866ce7644e2
MD5 f6b459daafd3ab85d990bc0ebfb59c5b
BLAKE2b-256 911dd7c180418397f219174048cad7ad6af2f61c2f0222246991a2d7b0dde78d

See more details on using hashes here.

File details

Details for the file pylife-2.2.0a3-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pylife-2.2.0a3-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 8e1313ce1f29f221b8ec28aa98a1d9ba07a8b1e6ceb070ece4af2cb38cdf93be
MD5 65580f99410a1a12e21a631aa68f6257
BLAKE2b-256 ba5d4cf4db103c9d2a373c61b6492ab9e52f05433c2296c47bc6ba367519b22a

See more details on using hashes here.

File details

Details for the file pylife-2.2.0a3-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: pylife-2.2.0a3-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 294.7 kB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.12.8

File hashes

Hashes for pylife-2.2.0a3-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 6252ebfda88c5aec2ec58aebadef9d4020bb5209615e3654202af6b2f85e81ef
MD5 9e508a4f36c97592ea9e11e6d60218bd
BLAKE2b-256 1c9c5962752e0122b4a242deab50d0de128f990f40d839ddee76e9bc0d898f36

See more details on using hashes here.

File details

Details for the file pylife-2.2.0a3-cp311-cp311-win32.whl.

File metadata

  • Download URL: pylife-2.2.0a3-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/3.12.8

File hashes

Hashes for pylife-2.2.0a3-cp311-cp311-win32.whl
Algorithm Hash digest
SHA256 406dacb977fd4f88e167043590fc5bc948acf7f606f10f4052969bc24f21932a
MD5 ee66735204a411d79a829ef261810ccf
BLAKE2b-256 0eb1680c48bd5590e4b29e72c6ab8b56509e178c88dc22d770a1a73d5bbe43d1

See more details on using hashes here.

File details

Details for the file pylife-2.2.0a3-cp311-cp311-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for pylife-2.2.0a3-cp311-cp311-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 e16c0cbf490c96e560f44eb071482a18505236b62989a1b2f746333a17b3e2a2
MD5 b939f3e5bd35f117f1f75d543c3e0b1a
BLAKE2b-256 4a75eba64788135788fc0b55e3c66382ea3f9f535e08bb62ce2bded17ef718f4

See more details on using hashes here.

File details

Details for the file pylife-2.2.0a3-cp311-cp311-musllinux_1_2_i686.whl.

File metadata

File hashes

Hashes for pylife-2.2.0a3-cp311-cp311-musllinux_1_2_i686.whl
Algorithm Hash digest
SHA256 b829b02278eda71adb9579ad2cff4f311a8c0edca478176e6bb4e53d514a1cd2
MD5 162a48e83d8287afdaf560506ee0cb99
BLAKE2b-256 b1431799479a3f96214e491328add5396cf7151c3886a95ff77888b7429fd180

See more details on using hashes here.

File details

Details for the file pylife-2.2.0a3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pylife-2.2.0a3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 80742b54b540d63beb192c481320c4a67bfc1575aa3076b8dcbd51b06a642441
MD5 4602dd1e6254169966477190c5770d13
BLAKE2b-256 be3f8e059f013ec627c7e050fb1b1a60756874943aa280d00caff2fa298227ed

See more details on using hashes here.

File details

Details for the file pylife-2.2.0a3-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pylife-2.2.0a3-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 fbe2ce1b66615acba9332ee3504aab3aaaa837b121fb2978b81685b2a3c6f4e1
MD5 f2fe7b6be87093e38f2fccf804cb9578
BLAKE2b-256 97947538f11aea411ab87d805601e0eaa06b61abebf1b02bf258d4355bf27efb

See more details on using hashes here.

File details

Details for the file pylife-2.2.0a3-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: pylife-2.2.0a3-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 294.5 kB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.12.8

File hashes

Hashes for pylife-2.2.0a3-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 eb0b8c86598c88935a53fc8b8fb62cb85ef66493c83dcca8480318f598bb37e5
MD5 b9aa1502b267ab85f1d9129d2041344a
BLAKE2b-256 d574361799321d4c5163b666e369612ac3c0ae5825cdf9bfd23b1354f1ba1ffd

See more details on using hashes here.

File details

Details for the file pylife-2.2.0a3-cp310-cp310-win32.whl.

File metadata

  • Download URL: pylife-2.2.0a3-cp310-cp310-win32.whl
  • Upload date:
  • Size: 283.4 kB
  • Tags: CPython 3.10, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.12.8

File hashes

Hashes for pylife-2.2.0a3-cp310-cp310-win32.whl
Algorithm Hash digest
SHA256 69ca964c0b870366a7ed07ac00e835821959cf9163445e41dafe0679cca9f8c8
MD5 953c7e946571510c42ee282db041184c
BLAKE2b-256 4bdc29e49534ea59bdaebba147032f3bc1484c30d8761b05ffa9954a13dc79e6

See more details on using hashes here.

File details

Details for the file pylife-2.2.0a3-cp310-cp310-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for pylife-2.2.0a3-cp310-cp310-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 d812b3e243665ea865a36eb5ac9566f46205c552bd2cd13d4aebc71f4015677f
MD5 424aef1d7827e61de42d4554864cfb96
BLAKE2b-256 f52a39a65d1ccaaa7a4c302d8f6056a8534be9e71bbb989e765e2547302e416d

See more details on using hashes here.

File details

Details for the file pylife-2.2.0a3-cp310-cp310-musllinux_1_2_i686.whl.

File metadata

File hashes

Hashes for pylife-2.2.0a3-cp310-cp310-musllinux_1_2_i686.whl
Algorithm Hash digest
SHA256 8ecb806e2ae8f8e4418ee3378a5f549637f04e37a715b185381e4d5283316461
MD5 a7425a84e4ea44863c71daaada68ada3
BLAKE2b-256 5ccf09072e2c77109137bdc9c0dc89acdf5bba864b15773952a899a12145f04b

See more details on using hashes here.

File details

Details for the file pylife-2.2.0a3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pylife-2.2.0a3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 e19a979a9fe6397ba751bdd57830aafbd76cc7d8b7c3e8340494b78586f0ee64
MD5 ff58e9960e5d0d0d8bbefbc785952c96
BLAKE2b-256 c2fe6c6249bf24762e71e6f8f7d6015680815d8355126c5a142fbe8a642bbd6b

See more details on using hashes here.

File details

Details for the file pylife-2.2.0a3-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pylife-2.2.0a3-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 30a427854a0426401a5985906afcd96f9dc837279cffcfe3627a3ac74774f61d
MD5 3999403fb6d8a73146d0568bdea63673
BLAKE2b-256 27fbef5845b33107ced304333248adc52812bab45e2a0175d07a1d8ed801e201

See more details on using hashes here.

File details

Details for the file pylife-2.2.0a3-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: pylife-2.2.0a3-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 295.0 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.12.8

File hashes

Hashes for pylife-2.2.0a3-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 0cf0534b654bf8e61f433be6f2f732db416f6a3ab5f17c828ae19d80069d6d9d
MD5 a4c30a5c1ca111f8d2e75a3c1ee14526
BLAKE2b-256 7ba7166225707f18e46acccbe488c2eb7ab698708659889ac1e5e48955812a4b

See more details on using hashes here.

File details

Details for the file pylife-2.2.0a3-cp39-cp39-win32.whl.

File metadata

  • Download URL: pylife-2.2.0a3-cp39-cp39-win32.whl
  • Upload date:
  • Size: 284.0 kB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.12.8

File hashes

Hashes for pylife-2.2.0a3-cp39-cp39-win32.whl
Algorithm Hash digest
SHA256 6e56261a231db3734032d1377b0a56b388a309f716041c91cfd7f2536faf0425
MD5 fb18eb4f889249e5e0e46ee2f70d739a
BLAKE2b-256 6beba063e3b8493466d17a299cdd2f29c5977fed7305bcd56fcde6a27c40c25f

See more details on using hashes here.

File details

Details for the file pylife-2.2.0a3-cp39-cp39-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for pylife-2.2.0a3-cp39-cp39-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 b666998580a6fa4d7fc4944db9671f74b0ed7a77fb7dac065ebb2e5056bb8373
MD5 857c9db93da0b33b3365b63782082828
BLAKE2b-256 ed327a3293b03fd53c937662bb9974471e3554f28f45e54eddef7b55c85a163d

See more details on using hashes here.

File details

Details for the file pylife-2.2.0a3-cp39-cp39-musllinux_1_2_i686.whl.

File metadata

File hashes

Hashes for pylife-2.2.0a3-cp39-cp39-musllinux_1_2_i686.whl
Algorithm Hash digest
SHA256 717c540d7878fe515b705ddb907d787e74c8b9f196f39a3f8fd5c416eee7e0d0
MD5 e95978a1a5ade9803acc08f05ff9300e
BLAKE2b-256 c656b56b4010a694f61efa46285cefa4b93ed499b7edaa2ae0351027332d0900

See more details on using hashes here.

File details

Details for the file pylife-2.2.0a3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pylife-2.2.0a3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 5e3ff2500dd22de6a13a1d21dddcb25edb37ac671d06ff73846c5e471387a16c
MD5 399089b6bd81986dc87016cbd29ba1b2
BLAKE2b-256 a251cec8a1fa0537076acb1844f6c055e007a3bc89fb0d5c4f015770ad6601b5

See more details on using hashes here.

File details

Details for the file pylife-2.2.0a3-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pylife-2.2.0a3-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 21d6e16308e022d41668eb20b6c7db133097619e3e2a158842d46c1b3a975d18
MD5 a2d65e696731b80cac300279ae611e75
BLAKE2b-256 1084864900efa23d5ac44b0a72e78ecc6b094677d0c5e5169e39fbca7b24426d

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page