Skip to main content

Diffraction Simulations in Python

Project description

diffsims is an open-source Python library for simulating diffraction.

The package is released under the GPL v3 license.

Deployment

pypi_version conda

Build status

build_status docs python

Metrics

Coveralls

Activity

pypi_downloads conda_downloads

Citation

doi

License

GPLv3

Community

GH-issues

Formatter

black

Documentation

Refer to the documentation for detailed installation instructions, a user guide, a technical (API) reference, and the changelog.

Installation

diffsims can be installed with pip:

pip install diffsims

or conda:

conda install diffsims -c conda-forge

The source code is hosted in GitHub, and can also be downloaded from PyPI and Anaconda.

Further details are available in the installation guide.

Citing diffsims

If simulations performed using diffsims form a part of published work please cite the DOI at the top of this page.

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

diffsims-0.6.1.tar.gz (234.4 kB view details)

Uploaded Source

Built Distribution

diffsims-0.6.1-py3-none-any.whl (230.0 kB view details)

Uploaded Python 3

File details

Details for the file diffsims-0.6.1.tar.gz.

File metadata

  • Download URL: diffsims-0.6.1.tar.gz
  • Upload date:
  • Size: 234.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for diffsims-0.6.1.tar.gz
Algorithm Hash digest
SHA256 0fd480ec81f8aaaffde29a5b2e8ab3205b0f910b9e6130680186d96256cbfe73
MD5 00bbe14d067a75bddc61378309210258
BLAKE2b-256 49f3a1ef5e7869e1b13c854d8eb93c5cf514241e628929b65d767ec605d534dd

See more details on using hashes here.

File details

Details for the file diffsims-0.6.1-py3-none-any.whl.

File metadata

  • Download URL: diffsims-0.6.1-py3-none-any.whl
  • Upload date:
  • Size: 230.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for diffsims-0.6.1-py3-none-any.whl
Algorithm Hash digest
SHA256 b8f24c91d9bebcf3abf9f95c2d63fc3ce76748616809885b3134b8eb015359e0
MD5 7ea1f7ffef94fca24dbe4110eef90636
BLAKE2b-256 928d838e69381404ea173dbd97c5cb0b248a354d53b78af6bec6ad6631baa058

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page