Skip to main content

A software package for analyzing Calabi-Yau hypersurfaces in toric varieties.

Project description



A software package for analyzing Calabi-Yau manifolds

Latest release Number of downloads Docker Image Size License


CYTools is an open-source software package developed by Liam McAllister's group with the purpose of studying Calabi-Yau manifolds arising from the Kreuzer-Skarke database. The founding authors are Mehmet Demirtas and Andres Rios-Tascon; the current BDFL is Nate MacFadden. It emerged from several years of effort towards exploring previously uncharted parts of the string landscape. It offers vastly superior computational performance compared to other software that are typically used in the field. Installation instructions and detailed documentation can be found in the CYTools website.

Most of the code is written in Python, with wrappers to interface with various other open-source software. The full package comes in the form of a Docker image that includes all the necessary dependencies, so that it is easy to install and use on most operating systems.

CYTools makes use of a variety of open-source projects. It includes a few code snippets from SageMath [GPLv2], a modified version of TOPCOM [GPLv2] that can be found here, the Computational Geometry Algorithms Library [LGPLv3], and multiple Python packages including SciPy, NumPy, pplpy, OR-Tools, scikit-sparse, and flint-py.

All original CYTools code is distributed under the terms of the GNU General Public License version 3. All other packages and code snippets are redistributed under their respective licenses.

Questions, comments and/or suggestions can be directed to support@cy.tools.

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

cytools-1.4.0.tar.gz (165.5 kB view details)

Uploaded Source

Built Distribution

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

cytools-1.4.0-py3-none-any.whl (180.0 kB view details)

Uploaded Python 3

File details

Details for the file cytools-1.4.0.tar.gz.

File metadata

  • Download URL: cytools-1.4.0.tar.gz
  • Upload date:
  • Size: 165.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for cytools-1.4.0.tar.gz
Algorithm Hash digest
SHA256 912a19424d6bbbcf31308d43c5c3ed3b43076e159cfd31bd91b86c00422d6cae
MD5 44a3f517a2818a195643f12de85da738
BLAKE2b-256 9a4c1affad63504c0ae9dda10ae3a1068b970e8cd894bd01254a5aa25e47e62d

See more details on using hashes here.

Provenance

The following attestation bundles were made for cytools-1.4.0.tar.gz:

Publisher: deploy.yml on LiamMcAllisterGroup/cytools

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file cytools-1.4.0-py3-none-any.whl.

File metadata

  • Download URL: cytools-1.4.0-py3-none-any.whl
  • Upload date:
  • Size: 180.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for cytools-1.4.0-py3-none-any.whl
Algorithm Hash digest
SHA256 75ed8b9a24def4ac3b41fa3b7451a63553a2795c02f02da716e7e49da82557c8
MD5 3b72a64ca25b636a4bb4306af1a9d95a
BLAKE2b-256 a01f54042fa4440e12d10bae1990a7dbd5f8cf1153f75dfcb949022ea8ca477f

See more details on using hashes here.

Provenance

The following attestation bundles were made for cytools-1.4.0-py3-none-any.whl:

Publisher: deploy.yml on LiamMcAllisterGroup/cytools

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

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