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-1.4.9.tar.gz (186.1 kB view details)

Uploaded Source

Built Distribution

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

cytools-1.4.9-py3-none-any.whl (202.1 kB view details)

Uploaded Python 3

File details

Details for the file cytools-1.4.9.tar.gz.

File metadata

  • Download URL: cytools-1.4.9.tar.gz
  • Upload date:
  • Size: 186.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for cytools-1.4.9.tar.gz
Algorithm Hash digest
SHA256 5fc36c07531259977cea1be41c7bd981c266cdf70e85ea44ce6277c5c82ff65a
MD5 abdf525a51eefd59690c40072393a7f7
BLAKE2b-256 f541adfcda084917e180c869d952c6940768d3851ff6b901d422874b2000c665

See more details on using hashes here.

Provenance

The following attestation bundles were made for cytools-1.4.9.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-1.4.9-py3-none-any.whl.

File metadata

  • Download URL: cytools-1.4.9-py3-none-any.whl
  • Upload date:
  • Size: 202.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for cytools-1.4.9-py3-none-any.whl
Algorithm Hash digest
SHA256 af8fcfe0e90946df2210de181d1dcf4c8f527371e8c6deeb83a3355a77e48fb7
MD5 fa3ad69ca31cbc3aa22c83e8e6984a2c
BLAKE2b-256 dfeaccb9c0637b46a17a3165630c8c01ce6f462605ee4d2343930de6e50061fe

See more details on using hashes here.

Provenance

The following attestation bundles were made for cytools-1.4.9-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