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-1.4.11.tar.gz (193.5 kB view details)

Uploaded Source

Built Distribution

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

cytools-1.4.11-py3-none-any.whl (209.5 kB view details)

Uploaded Python 3

File details

Details for the file cytools-1.4.11.tar.gz.

File metadata

  • Download URL: cytools-1.4.11.tar.gz
  • Upload date:
  • Size: 193.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for cytools-1.4.11.tar.gz
Algorithm Hash digest
SHA256 34b5da1ad0ba4ad733a78383761856a8ca29257bc577afcd5d9668506c7bdc4b
MD5 c0bcd78e8b2b640a1dd393be5426cf8e
BLAKE2b-256 38162110d28c904b2278773e16a044b369909eddd9195b2dfb15ea85bc2029fe

See more details on using hashes here.

Provenance

The following attestation bundles were made for cytools-1.4.11.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-1.4.11-py3-none-any.whl.

File metadata

  • Download URL: cytools-1.4.11-py3-none-any.whl
  • Upload date:
  • Size: 209.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for cytools-1.4.11-py3-none-any.whl
Algorithm Hash digest
SHA256 f54f11e44b5bce147f30bdf6d18d7d37073035bedf28282054e6f46ac584ec6a
MD5 bc7334763e3cf4f4d3ea7621a51ae7b7
BLAKE2b-256 d500b72758f3464b03db075201c6012c450693aac86eaf54b7a381c37ef1e8df

See more details on using hashes here.

Provenance

The following attestation bundles were made for cytools-1.4.11-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