Skip to main content

Cheminformatics algorithms and structure utilities using standardized qcio data structures.

Project description

Quantum Chemistry Informatics (qcinf)

image image image Actions status Actions status

Cheminformatics algorithms and structure utilities using standardized qcio data structures.

The QC Suite of Programs

qcinf works in harmony with a suite of other quantum chemistry tools for fast, structured, and interoperable quantum chemistry.

  • qcconst - Physical constants, conversion factors, and a periodic table with clear source information for every value.
  • qcio - Elegant and intuitive data structures for quantum chemistry, featuring seamless Jupyter Notebook visualizations. Documentation
  • qcinf - Cheminformatics algorithms and structure utilities using standardized qcio data structures.
  • qccodec - A package for translating between standardized qcio data structures and native QC program inputs and outputs.
  • qcop - A package for operating quantum chemistry programs using standardized qcio data structures. Compatible with TeraChem, psi4, QChem, NWChem, ORCA, Molpro, geomeTRIC and many more.
  • BigChem - A distributed application for running quantum chemistry calculations at scale across clusters of computers or the cloud. Bring multi-node scaling to your favorite quantum chemistry program.
  • ChemCloud - A web application and associated Python client for exposing a BigChem cluster securely over the internet.

Installation

python -m pip install qcinf

Support

If you have any issues with qcinf or would like to request a feature, please open an issue.

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

qcinf-0.1.1.tar.gz (86.6 kB view details)

Uploaded Source

Built Distribution

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

qcinf-0.1.1-py3-none-any.whl (14.4 kB view details)

Uploaded Python 3

File details

Details for the file qcinf-0.1.1.tar.gz.

File metadata

  • Download URL: qcinf-0.1.1.tar.gz
  • Upload date:
  • Size: 86.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for qcinf-0.1.1.tar.gz
Algorithm Hash digest
SHA256 6a24b5ebfc462724fb7305627ef5cedeb7d2466533a10ce7616eb44c9397beae
MD5 fa0ba45a7c7206974e5c3a162c6162c7
BLAKE2b-256 c4fc7fed09495b74aacc6268488d439571b9a5130d7555e0c7c103a720478200

See more details on using hashes here.

Provenance

The following attestation bundles were made for qcinf-0.1.1.tar.gz:

Publisher: publish-to-pypi.yaml on coltonbh/qcinf

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

File details

Details for the file qcinf-0.1.1-py3-none-any.whl.

File metadata

  • Download URL: qcinf-0.1.1-py3-none-any.whl
  • Upload date:
  • Size: 14.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for qcinf-0.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 62e05956968217df6a5a508c2853d238d7e28350a54694e21850df26602a23a6
MD5 368e117da6f2529780c00787f0055887
BLAKE2b-256 96b2668c4aff16e65564f0839c44b3fac3f0d1404a554a89788dac8ad128ef27

See more details on using hashes here.

Provenance

The following attestation bundles were made for qcinf-0.1.1-py3-none-any.whl:

Publisher: publish-to-pypi.yaml on coltonbh/qcinf

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