Skip to main content

CADET-Core: The heart of CADET. A modular, fast, and accurate modeling and simulation framework for biotechnology processes.

Project description

https://img.shields.io/github/release/cadet/cadet-core.svg https://github.com/cadet/cadet-core/actions/workflows/ci.yml/badge.svg?branch=master https://joss.theoj.org/papers/282a9ec56a0680e51ed4f1fa8fda3650/status.svg https://anaconda.org/conda-forge/cadet/badges/downloads.svg https://zenodo.org/badge/DOI/10.5281/zenodo.8179015.svg https://img.shields.io/badge/JuRSE_Code_Pick-Oct_2024-blue.svg

Installation

CADET-Core can be installed via conda from the conda-forge channel.

conda install -c conda-forge cadet

This requires a working conda installation.

Additional information and a tutorial are available to guide you through the installation and the first steps of using CADET.

Citing

The development of CADET-Core has been a collaborative effort, with multiple dedicated individuals contributing their expertise to create a powerful and versatile open-source software tool. Countless hours of hard work have been invested to provide the scientific community with a valuable resource. As an open-source project, CADET-Core relies on the support and recognition from users and researchers to thrive. Therefore, we kindly ask that any publications or projects leveraging the capabilities of CADET-Core acknowledge its creators and their contributions by citing an adequate selection of our publications.

General:

Major extensions:

Additionally, to ensure reproducibility of your work, we recommend citing the zenodo doi corresponding to the specific CADET-Core release that you used.

For a comprehensive list and guidance on citing CADET-Core publications, please refer to the publications section of the documentation.

Ongoing Development

We do our best to provide you with a stable API. However, CADET-Core is actively developed and breaking changes can sometimes be unavoidable. For non-developers, it is recommended to upgrade from release to release instead of always working with the most recent commit.

Bugs

Please report any bugs that you find here. Or, even better, fork the repository on GitHub and create a pull request (PR) with the fix.

Donations

Donations for helping to host, maintain, and further develop the CADET-Core project are highly appreciated.

Acknowledgments

Please refer to the list of contributors who helped building and funding this project.

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

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

cadet_core-5.1.0-cp314-cp314-win_amd64.whl (10.7 MB view details)

Uploaded CPython 3.14Windows x86-64

cadet_core-5.1.0-cp314-cp314-manylinux_2_28_x86_64.whl (21.0 MB view details)

Uploaded CPython 3.14manylinux: glibc 2.28+ x86-64

cadet_core-5.1.0-cp314-cp314-macosx_15_0_arm64.whl (18.7 MB view details)

Uploaded CPython 3.14macOS 15.0+ ARM64

cadet_core-5.1.0-cp313-cp313-win_amd64.whl (10.5 MB view details)

Uploaded CPython 3.13Windows x86-64

cadet_core-5.1.0-cp313-cp313-manylinux_2_28_x86_64.whl (21.0 MB view details)

Uploaded CPython 3.13manylinux: glibc 2.28+ x86-64

cadet_core-5.1.0-cp313-cp313-macosx_15_0_arm64.whl (18.7 MB view details)

Uploaded CPython 3.13macOS 15.0+ ARM64

cadet_core-5.1.0-cp312-cp312-win_amd64.whl (10.5 MB view details)

Uploaded CPython 3.12Windows x86-64

cadet_core-5.1.0-cp312-cp312-manylinux_2_28_x86_64.whl (21.0 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.28+ x86-64

cadet_core-5.1.0-cp312-cp312-macosx_15_0_arm64.whl (18.7 MB view details)

Uploaded CPython 3.12macOS 15.0+ ARM64

File details

Details for the file cadet_core-5.1.0-cp314-cp314-win_amd64.whl.

File metadata

  • Download URL: cadet_core-5.1.0-cp314-cp314-win_amd64.whl
  • Upload date:
  • Size: 10.7 MB
  • Tags: CPython 3.14, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for cadet_core-5.1.0-cp314-cp314-win_amd64.whl
Algorithm Hash digest
SHA256 4e9a4557db3964937353e168cd66bfde6df19a433ca7269c9fa4213a8386c207
MD5 ea655db1841b3d6f984555ccd8a76ae2
BLAKE2b-256 fdd8bd0369c3296fe38b1a22b491be334768d3378c7b67ea6993ab4d6dec537d

See more details on using hashes here.

File details

Details for the file cadet_core-5.1.0-cp314-cp314-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for cadet_core-5.1.0-cp314-cp314-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 e531f00033df2fad6f1c37b1a58dc195c941d323081f6b13c377ceb07ac7cff5
MD5 1e5c93f57bae2e9688ecbede44a366a5
BLAKE2b-256 5a0b569ab50dd2df41964c8b8326570016fe0a15d154466cb6dd71a39804d40a

See more details on using hashes here.

File details

Details for the file cadet_core-5.1.0-cp314-cp314-macosx_15_0_arm64.whl.

File metadata

File hashes

Hashes for cadet_core-5.1.0-cp314-cp314-macosx_15_0_arm64.whl
Algorithm Hash digest
SHA256 cb2ba25365e779fa8f09bc0ee041eb4262cdd9eb1971bbcdab863ec2553180e3
MD5 8000e9b0447b67d2d0c47144f3726b92
BLAKE2b-256 062bdef11818380ddd7976d86f0dfc7104e3f46e1191d75b5075df7bf9abbfe2

See more details on using hashes here.

File details

Details for the file cadet_core-5.1.0-cp313-cp313-win_amd64.whl.

File metadata

  • Download URL: cadet_core-5.1.0-cp313-cp313-win_amd64.whl
  • Upload date:
  • Size: 10.5 MB
  • Tags: CPython 3.13, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for cadet_core-5.1.0-cp313-cp313-win_amd64.whl
Algorithm Hash digest
SHA256 e9168a3ff2036d812844ab93008d703ad5a215eb53dcfcd026ae02b7ac3ecf97
MD5 2022fe0673ffc7841926994cd8752b53
BLAKE2b-256 876c9e7361e390eb711b0108ecb71691e13691526d2aca569ef3779489434926

See more details on using hashes here.

File details

Details for the file cadet_core-5.1.0-cp313-cp313-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for cadet_core-5.1.0-cp313-cp313-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 8c1dfe1f7220cc2b536484e18141b3a81ecdcc901d2afb2fd5b1ac0d0891922e
MD5 f07b8276ace7d8f7cb2d34c0c77db75f
BLAKE2b-256 241f52e89d2ac110b50a7ba912285888ec83dd9a0400a3782102e010546f20c8

See more details on using hashes here.

File details

Details for the file cadet_core-5.1.0-cp313-cp313-macosx_15_0_arm64.whl.

File metadata

File hashes

Hashes for cadet_core-5.1.0-cp313-cp313-macosx_15_0_arm64.whl
Algorithm Hash digest
SHA256 cdde6dd2b791d6f09350f6794dc8f766e655cd76b5a88f4cf0224142c262db96
MD5 fe1f65a8d37c80797ab8914d65b8d0f7
BLAKE2b-256 1f4db294f0df641d35d3c8204d7f52ef9354217def0df3e79f2e313ef2f3eb06

See more details on using hashes here.

File details

Details for the file cadet_core-5.1.0-cp312-cp312-win_amd64.whl.

File metadata

  • Download URL: cadet_core-5.1.0-cp312-cp312-win_amd64.whl
  • Upload date:
  • Size: 10.5 MB
  • Tags: CPython 3.12, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for cadet_core-5.1.0-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 eb035818fb886ac184ab7cc7237fa512d397d1ef5d6aca1fad2f6d0ac42ce905
MD5 b028c7a5fb31058f7970c1f2fb917ef0
BLAKE2b-256 9d12a08e732b9f18fa7ad229af7c87c9900842f59909a1956bc30575b0b5b844

See more details on using hashes here.

File details

Details for the file cadet_core-5.1.0-cp312-cp312-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for cadet_core-5.1.0-cp312-cp312-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 d0945fbad66e73c840d631a472b6170e60fa7ad8670b242f4e1345ce9cfef703
MD5 96325c10619ebebd6bc97b8f26bef961
BLAKE2b-256 0b31b951b569e8e3b452000d21baf92d1b064a9cef5be3b2c9e25379ff25e4a4

See more details on using hashes here.

File details

Details for the file cadet_core-5.1.0-cp312-cp312-macosx_15_0_arm64.whl.

File metadata

File hashes

Hashes for cadet_core-5.1.0-cp312-cp312-macosx_15_0_arm64.whl
Algorithm Hash digest
SHA256 e3256b5dcb28d74d624bb85e94a41ecff2e444262d59fe81001a393ee1dbef55
MD5 0bc91cadfb9e20dccda4390bd2120b36
BLAKE2b-256 54c9c1ccb311855a063e85c9aec8489bd4491eb5d4ab41f25dd963572ad47d9d

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