Skip to main content

Powerful library to manipulate meshes and fields

Project description

# MEDCoupling

[![pypi](https://img.shields.io/pypi/v/medcoupling.svg?style=flat-square)](https://pypi.org/project/medcoupling) https://github.com/jschueller/medcoupling-wheels [![github](https://github.com/jschueller/medcoupling-wheels/actions/workflows/stable.yml/badge.svg?branch=master)](https://github.com/jschueller/medcoupling-wheels/actions/workflows/stable.yml)

MEDCoupling is a powerful library to manipulate meshes and fields from the [SALOME](https://www.salome-platform.org/) platform.

Refer to the [documentation](https://docs.salome-platform.org/latest/dev/MEDCoupling/developer/index.html).

## Installation from PyPI

To install MEDCoupling, you can now simply do

` pip install -U medcoupling `

Binary wheels are available for 64-bit Windows (win_amd64) and Linux-like platforms (manylinux2014_x86_64).

To ensure that MEDCoupling is well installed, try importing it with:

` import medcoupling # should not raise error `

Project details


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

medcoupling-9.13.0-cp313-cp313-win_amd64.whl (10.4 MB view details)

Uploaded CPython 3.13 Windows x86-64

medcoupling-9.13.0-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (18.2 MB view details)

Uploaded CPython 3.13 manylinux: glibc 2.17+ x86-64

medcoupling-9.13.0-cp312-cp312-win_amd64.whl (10.4 MB view details)

Uploaded CPython 3.12 Windows x86-64

medcoupling-9.13.0-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (18.2 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ x86-64

medcoupling-9.13.0-cp311-cp311-win_amd64.whl (10.4 MB view details)

Uploaded CPython 3.11 Windows x86-64

medcoupling-9.13.0-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (18.2 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

medcoupling-9.13.0-cp310-cp310-win_amd64.whl (10.4 MB view details)

Uploaded CPython 3.10 Windows x86-64

medcoupling-9.13.0-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (18.2 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

medcoupling-9.13.0-cp39-cp39-win_amd64.whl (10.4 MB view details)

Uploaded CPython 3.9 Windows x86-64

medcoupling-9.13.0-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (18.2 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

File details

Details for the file medcoupling-9.13.0-cp313-cp313-win_amd64.whl.

File metadata

File hashes

Hashes for medcoupling-9.13.0-cp313-cp313-win_amd64.whl
Algorithm Hash digest
SHA256 144e0b7a4f06a74147c9266c3bcef15d62323041323543750f6e0c2073de893b
MD5 bc469d3085cb0126686f690273bef08f
BLAKE2b-256 b4a3de5ea9768aded0e8533b1d2016957cbaaf7fe10207f968976afc1dc7a639

See more details on using hashes here.

File details

Details for the file medcoupling-9.13.0-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.

File metadata

File hashes

Hashes for medcoupling-9.13.0-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl
Algorithm Hash digest
SHA256 dee429fc551f76a5913d2d8272b949a6e4b24026e18f6cdba5e9e197048edd50
MD5 67b8d92347c82d02d62f3266525237d3
BLAKE2b-256 7aced13ca2de84d4d7b1aaf1a517815f9f4e288bc1201b77c3b0f6482b281645

See more details on using hashes here.

File details

Details for the file medcoupling-9.13.0-cp312-cp312-win_amd64.whl.

File metadata

File hashes

Hashes for medcoupling-9.13.0-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 76252c8f05a91f11df960d6ed8bd9b0b34e1195f6c3fc666ffb2338956acafe0
MD5 22494342eb3e7bdc7df25cfbc3c09be5
BLAKE2b-256 e6aa71283eb74155349e242321b0681d374df287203d6147606bb195f5d4e198

See more details on using hashes here.

File details

Details for the file medcoupling-9.13.0-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.

File metadata

File hashes

Hashes for medcoupling-9.13.0-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl
Algorithm Hash digest
SHA256 cd5864e7650df7c61117be596f9ef2f7959b1b51c281028e96484bf907417301
MD5 99ce2af1b2d25a43a40eb8ce537a0694
BLAKE2b-256 dbda29ede83cc0a4aa79a0b2c869c1cfb22c8445bdc87284518771247f5482ad

See more details on using hashes here.

File details

Details for the file medcoupling-9.13.0-cp311-cp311-win_amd64.whl.

File metadata

File hashes

Hashes for medcoupling-9.13.0-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 ec522ce324538bcd47b72ffd66e9c66a655e81f7b5e7dba69879cf5124aea3a1
MD5 d7ad31f34799535bf9203a1449b73a09
BLAKE2b-256 04c95168a82b7a39d5779583ed12f3f06a1184d31fb2ea12df971426979d671a

See more details on using hashes here.

File details

Details for the file medcoupling-9.13.0-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.

File metadata

File hashes

Hashes for medcoupling-9.13.0-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl
Algorithm Hash digest
SHA256 c20c64ca3e203acebffd6c6822498d32360a7f549c1ae0630ca862b0618e7b66
MD5 435c639493feb22c5f9c2885013a6f66
BLAKE2b-256 5b43eed9741f469f990ac324c517b8a134f39e0455c195dd3ff03ca82c66077a

See more details on using hashes here.

File details

Details for the file medcoupling-9.13.0-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for medcoupling-9.13.0-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 618da8fad7332b7f277671001b43e8be2489832df4d08a876dee743a46af7d0b
MD5 d79c6734c29e8b92271a002cf6b77c52
BLAKE2b-256 87d74a09eb0c091e003491415538b034c76ad544a589ceb2b6b7068aebe005ef

See more details on using hashes here.

File details

Details for the file medcoupling-9.13.0-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.

File metadata

File hashes

Hashes for medcoupling-9.13.0-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl
Algorithm Hash digest
SHA256 9b090f17a6cb2c6b9b9eae98bf911abdb821fd2018240b72437a9f53786f98c5
MD5 b653917f43388bd2630de78e6dae866f
BLAKE2b-256 f62c3250a758f06ba8d0a961a121d64f265b546173ee27f69d16b7f795c3dfe0

See more details on using hashes here.

File details

Details for the file medcoupling-9.13.0-cp39-cp39-win_amd64.whl.

File metadata

File hashes

Hashes for medcoupling-9.13.0-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 f7fa1c1d9f05bb96202057e082b7b2b4585e23489452c64cf3b9d4ddb7641ce7
MD5 bd85bc3e436c6940e74cfcfe18c9d15a
BLAKE2b-256 12788f7385d04b30193f711c1e33c8cf80124ff76b97a85386879ebeceb8d2c2

See more details on using hashes here.

File details

Details for the file medcoupling-9.13.0-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.

File metadata

File hashes

Hashes for medcoupling-9.13.0-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.whl
Algorithm Hash digest
SHA256 579fa194a1c59ffe7b4ee96346f5539db6dc4b6e4904fee8548d643952171dce
MD5 2e9c1a78f0be1e5fbedd17922e9721d1
BLAKE2b-256 d51e5f5e23037d601c97a83931e864bbcf1a5c335c6074940c793b57d7fa9cb7

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