The author of this package has not provided a project description

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Latest release

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for strigaud from gravatar.com strigaud

Credits

Author: Stephane Rigaud

License

BSD License (Copyright 2024 Stéphane Rigaud, Robert Haase, Institut Pasteur Paris, Max Planck Institute for Molecular Cell Biology and Genetics Dresden, ScaDS.AI, Leipzig University)

Requires

Python >=3.8

Tags

image processing GPU CUDA scientific computing

Classifiers

Report project as malware

Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

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

pyclesperanto_cuda-0.24.0-cp314-cp314-win_amd64.whl (21.4 MB view details)

Uploaded CPython 3.14Windows x86-64

pyclesperanto_cuda-0.24.0-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (25.1 MB view details)

Uploaded CPython 3.14manylinux: glibc 2.27+ x86-64manylinux: glibc 2.28+ x86-64

pyclesperanto_cuda-0.24.0-cp313-cp313-win_amd64.whl (21.0 MB view details)

Uploaded CPython 3.13Windows x86-64

pyclesperanto_cuda-0.24.0-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (25.1 MB view details)

Uploaded CPython 3.13manylinux: glibc 2.27+ x86-64manylinux: glibc 2.28+ x86-64

pyclesperanto_cuda-0.24.0-cp312-cp312-win_amd64.whl (21.0 MB view details)

Uploaded CPython 3.12Windows x86-64

pyclesperanto_cuda-0.24.0-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (25.1 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.27+ x86-64manylinux: glibc 2.28+ x86-64

pyclesperanto_cuda-0.24.0-cp311-cp311-win_amd64.whl (20.9 MB view details)

Uploaded CPython 3.11Windows x86-64

pyclesperanto_cuda-0.24.0-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (25.1 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.27+ x86-64manylinux: glibc 2.28+ x86-64

pyclesperanto_cuda-0.24.0-cp310-cp310-win_amd64.whl (20.9 MB view details)

Uploaded CPython 3.10Windows x86-64

pyclesperanto_cuda-0.24.0-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (25.1 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.27+ x86-64manylinux: glibc 2.28+ x86-64

pyclesperanto_cuda-0.24.0-cp39-cp39-win_amd64.whl (20.9 MB view details)

Uploaded CPython 3.9Windows x86-64

pyclesperanto_cuda-0.24.0-cp39-cp39-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (25.1 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.27+ x86-64manylinux: glibc 2.28+ x86-64

pyclesperanto_cuda-0.24.0-cp38-cp38-win_amd64.whl (20.9 MB view details)

Uploaded CPython 3.8Windows x86-64

pyclesperanto_cuda-0.24.0-cp38-cp38-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (25.1 MB view details)

Uploaded CPython 3.8manylinux: glibc 2.27+ x86-64manylinux: glibc 2.28+ x86-64

File details

Details for the file pyclesperanto_cuda-0.24.0-cp314-cp314-win_amd64.whl.

File metadata

File hashes

Hashes for pyclesperanto_cuda-0.24.0-cp314-cp314-win_amd64.whl
Algorithm Hash digest
SHA256 d5808ae9ee25f2f7c1d2533d7a5ffc3be9b27a79bccbd736af015df60b8204b0
MD5 1f6ace5153b9e8e948176a545aacb9e8
BLAKE2b-256 980dc01301a73b1669625f877c97d91371af99e3b15d6a1636d9d67253e3051c

See more details on using hashes here.

File details

Details for the file pyclesperanto_cuda-0.24.0-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for pyclesperanto_cuda-0.24.0-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 0b8de4e5114998f8a56383f4686ac7bd52aecc6a38f860e9db22abd8c1685775
MD5 e34052f98fcdd68a51ad84081ad389ed
BLAKE2b-256 018c227dc1d31883f28ffb2848ccd0c699baba29019d2b5637a529a0b270947d

See more details on using hashes here.

File details

Details for the file pyclesperanto_cuda-0.24.0-cp313-cp313-win_amd64.whl.

File metadata

File hashes

Hashes for pyclesperanto_cuda-0.24.0-cp313-cp313-win_amd64.whl
Algorithm Hash digest
SHA256 fdfdccef2f34dc7b53b0d765e609b09b3bfbb3564f5e7ea8f6b64f11e861f961
MD5 75e40296a58fe0b8fb53e86f41410eb5
BLAKE2b-256 5beeaa3ac7b6f8aed196ebc57ba0e4d583aa9181a59f29dbf9115eadf6a00856

See more details on using hashes here.

File details

Details for the file pyclesperanto_cuda-0.24.0-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for pyclesperanto_cuda-0.24.0-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 b1887deddf220e7a7ce2c256bde21112e5bb2463bc30f3013149573f71d13762
MD5 7dee291f884e99d6c100f04766686674
BLAKE2b-256 2eafb91630cb5cab14f320dd59310166012abb4f4ca963eb78859376c4b4ad6c

See more details on using hashes here.

File details

Details for the file pyclesperanto_cuda-0.24.0-cp312-cp312-win_amd64.whl.

File metadata

File hashes

Hashes for pyclesperanto_cuda-0.24.0-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 be4906e0a512e9368d30c6dc16c60872343e2ba721eccd049101d117198d4e2b
MD5 39e2d2b35067dbdc09cda1e1f99c59b1
BLAKE2b-256 a2482eeb3c9027c4f85baa12bedc1505265ef351ed03f350847c5740c768596c

See more details on using hashes here.

File details

Details for the file pyclesperanto_cuda-0.24.0-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for pyclesperanto_cuda-0.24.0-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 750366689f06fdc916bb4b54e4d604efcaf7e570ac67707bd3c3cdefbbeaacb8
MD5 69173434d6f4ea38da5a005396847784
BLAKE2b-256 8243611b29960c6b81fccfdd7a881bf0b16eb3e75770485d5c4c119c0273770f

See more details on using hashes here.

File details

Details for the file pyclesperanto_cuda-0.24.0-cp311-cp311-win_amd64.whl.

File metadata

File hashes

Hashes for pyclesperanto_cuda-0.24.0-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 b52c31fa54c8e21dbfafd31a2d9a7c1b2cc0a0cad49fbc76a634893360a41768
MD5 839c35bd31e75654d56c22f3bd396780
BLAKE2b-256 fccee44fd3e1120375960fdc12ee05565939bbdfb07d34b01787cc4f6b8407b3

See more details on using hashes here.

File details

Details for the file pyclesperanto_cuda-0.24.0-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for pyclesperanto_cuda-0.24.0-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 7c0c058b49817118d3539ac2e831a63bd4e369af2a830802392f793a5977c06d
MD5 721d8bb8b0f75f10a1a5d00bbbdd62ac
BLAKE2b-256 9aceaa715d41b98cb6a1818f3ca397072816632179224e604b5787d187d261b6

See more details on using hashes here.

File details

Details for the file pyclesperanto_cuda-0.24.0-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for pyclesperanto_cuda-0.24.0-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 c63e88b78a6cc953dba70cf786c892c22be5c00cce1cbb68e04f1c0f0faf6955
MD5 25d15220fee7fcae18ff9cd17278b078
BLAKE2b-256 aa6114924834e371b59945c1b8069a12a90d33bc2f57eb83b73a48f848dc7a54

See more details on using hashes here.

File details

Details for the file pyclesperanto_cuda-0.24.0-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for pyclesperanto_cuda-0.24.0-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 17324c4574874b66cd5ca89f87dfc7fed66c678ee129a16faa02dbbcd61d7149
MD5 84d44287648787124221b4584fca82e2
BLAKE2b-256 0630d5f1abbf33b44ace1858bea7a5ff8dc0872a60e44963fdb2c4a4b254073f

See more details on using hashes here.

File details

Details for the file pyclesperanto_cuda-0.24.0-cp39-cp39-win_amd64.whl.

File metadata

File hashes

Hashes for pyclesperanto_cuda-0.24.0-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 a4b2f693d9ab0872cbf6c621e99e55c08efc6a7978b71b774af1682097225ab1
MD5 9f1e68d04ea37f0baf8768ad1f17c10b
BLAKE2b-256 e49b1941e6371b3d02cb6d0a43e7cf3de92322c12f16a86c5fab4c15d79f1354

See more details on using hashes here.

File details

Details for the file pyclesperanto_cuda-0.24.0-cp39-cp39-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for pyclesperanto_cuda-0.24.0-cp39-cp39-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 e6be8df1cc9a151d36f4a19beb1f6a21ea9e330cc43ba67613393707d6d187dc
MD5 28103502fb447a524e7a9a1517840eb6
BLAKE2b-256 dc7de5bdb133b3b370f23fec653f56c41fa17dc870bdc8de7b4ad211621252bb

See more details on using hashes here.

File details

Details for the file pyclesperanto_cuda-0.24.0-cp38-cp38-win_amd64.whl.

File metadata

File hashes

Hashes for pyclesperanto_cuda-0.24.0-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 17e4a9cf6769849635f11a278b738f37795c12f2a7e6584d30ad16e406db4ea5
MD5 9346bb492c9ce8e08b14a120c62b80d7
BLAKE2b-256 93bf730a6bf1ba844772057cf82fd517f93c5c6f8439563663a89100acd1cc5d

See more details on using hashes here.

File details

Details for the file pyclesperanto_cuda-0.24.0-cp38-cp38-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for pyclesperanto_cuda-0.24.0-cp38-cp38-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 3e4f978f727a770f655e608668298d5f5de45b16d6506f183e8ee8a2fa5ee422
MD5 e254ef173a6095cc948cb3a03b4494aa
BLAKE2b-256 c0ad1f9d02900f0888d618d6f62ba9aa8ae550adc3dd0b7dfdb6be7e6398328d

See more details on using hashes here.

Release history Release notifications | RSS feed

This release

0.24.0 This release

14 files

0.22.0

14 files

0.21.4

12 files

0.21.1

12 files

0.21.0

12 files

Supported by

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