Skip to main content

Euphonic calculates phonon bandstructures and inelastic neutron scattering intensities from modelling code output (e.g. CASTEP)

Project description

Euphonic is a Python package that can efficiently calculate phonon bandstructures, density of states and inelastic neutron scattering intensities from force constants. The force constants can be read from various sources, including CASTEP .castep_bin files, or Phonopy phonopy.yaml files. While Euphonic is primarily a library, multiple command-line tools are also provided for convenient plotting of the above quantities.

For more information, see the docs.

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

euphonic-1.2.0.tar.gz (160.9 kB view details)

Uploaded Source

Built Distributions

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

euphonic-1.2.0-cp311-cp311-win_amd64.whl (167.5 kB view details)

Uploaded CPython 3.11Windows x86-64

euphonic-1.2.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (270.8 kB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ x86-64

euphonic-1.2.0-cp311-cp311-macosx_10_9_x86_64.whl (164.9 kB view details)

Uploaded CPython 3.11macOS 10.9+ x86-64

euphonic-1.2.0-cp310-cp310-win_amd64.whl (167.5 kB view details)

Uploaded CPython 3.10Windows x86-64

euphonic-1.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (270.2 kB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ x86-64

euphonic-1.2.0-cp310-cp310-macosx_10_9_x86_64.whl (164.9 kB view details)

Uploaded CPython 3.10macOS 10.9+ x86-64

euphonic-1.2.0-cp39-cp39-win_amd64.whl (167.5 kB view details)

Uploaded CPython 3.9Windows x86-64

euphonic-1.2.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (269.9 kB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ x86-64

euphonic-1.2.0-cp39-cp39-macosx_10_9_x86_64.whl (164.9 kB view details)

Uploaded CPython 3.9macOS 10.9+ x86-64

euphonic-1.2.0-cp38-cp38-win_amd64.whl (167.5 kB view details)

Uploaded CPython 3.8Windows x86-64

euphonic-1.2.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (270.5 kB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ x86-64

euphonic-1.2.0-cp38-cp38-macosx_10_9_x86_64.whl (166.4 kB view details)

Uploaded CPython 3.8macOS 10.9+ x86-64

euphonic-1.2.0-cp37-cp37m-win_amd64.whl (167.5 kB view details)

Uploaded CPython 3.7mWindows x86-64

euphonic-1.2.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (269.3 kB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.17+ x86-64

euphonic-1.2.0-cp37-cp37m-macosx_10_9_x86_64.whl (166.4 kB view details)

Uploaded CPython 3.7mmacOS 10.9+ x86-64

File details

Details for the file euphonic-1.2.0.tar.gz.

File metadata

  • Download URL: euphonic-1.2.0.tar.gz
  • Upload date:
  • Size: 160.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.0

File hashes

Hashes for euphonic-1.2.0.tar.gz
Algorithm Hash digest
SHA256 150caa8023e368486b947d0401b9dcfc6515e0de8fb66809be19c0db968327da
MD5 ed69004b1f74ab66dd5a6467e6862f18
BLAKE2b-256 1590f3f81a53939536a9ec4744d35cd0bc3c101d9a90875aed3f817300d83db6

See more details on using hashes here.

File details

Details for the file euphonic-1.2.0-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: euphonic-1.2.0-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 167.5 kB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.0

File hashes

Hashes for euphonic-1.2.0-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 67674570f93475dd844510481265bd25a0c0d40f9f4c99f13d612dcfaddfef78
MD5 84676aeb0192dbaa7397006e18dcb04f
BLAKE2b-256 12cc52ca90216f361f1ed89e46d13cd6a15bc6ecf56c0149e2139c6f63964b1d

See more details on using hashes here.

File details

Details for the file euphonic-1.2.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for euphonic-1.2.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 58204e79fa037de25e3b0173c9ed30839c8a938a867ac7815d8ad10b193afdb4
MD5 7ba55f8afd9157c79f7570d9984e5856
BLAKE2b-256 89c26a75a5f02240be8ceff3aab59063d327cfcf3909bbd8f12f11b2ea6c01a1

See more details on using hashes here.

File details

Details for the file euphonic-1.2.0-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for euphonic-1.2.0-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 902744afd378a89a54abfbc41fa291d5a9c90ecbd2cadff173f3020fa2e02e4e
MD5 bb757aa8871f43b82d96e6cd81a9eb6f
BLAKE2b-256 d9a264b0bd4a8d4f2e7b60f96f065ddbaae0cf421a2864e20c1775c5562841c2

See more details on using hashes here.

File details

Details for the file euphonic-1.2.0-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: euphonic-1.2.0-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 167.5 kB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.9

File hashes

Hashes for euphonic-1.2.0-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 abd20086524ba46e117e66bd44cf5df90d8cbf242a50ac53c94be37b82a5cc4d
MD5 e235df986017b6080503749bcb45f731
BLAKE2b-256 823917c9d51c3ed4158a622e4dcab6682cdde5c649bbed6aa74c9509d1992e8b

See more details on using hashes here.

File details

Details for the file euphonic-1.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for euphonic-1.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 da1c98fc02229a8b7cf2455679c3380df5f6e6f8e263b1e8488380bd55ff4e28
MD5 77b73bc509e0fbc755f5bf50ada92312
BLAKE2b-256 1cf5d2d7bfbf6243e6d0b045990acbeda70662298c495dcf35310da5c469bfe4

See more details on using hashes here.

File details

Details for the file euphonic-1.2.0-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for euphonic-1.2.0-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 e545514674ab1424e0d3cc2cb9fc9063cff0710729c6dce96a6fb4178b895745
MD5 37ccab5af889bdf192226063a8cb6623
BLAKE2b-256 7f84079083a359ca5d64ecef6679ed8ab37bf8d24546181babb1c1500b1ff662

See more details on using hashes here.

File details

Details for the file euphonic-1.2.0-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: euphonic-1.2.0-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 167.5 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for euphonic-1.2.0-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 1abb84a86c3fb5e361ba9731f1312a1528150856d28922cf16936f0b23fbe0b2
MD5 237eb0c6122974d6dfc444a8f13d7baf
BLAKE2b-256 33685ec4c1f3cf6bd8b388e9637cccc8b3278c01ea89190dfb2c09b5e5e78665

See more details on using hashes here.

File details

Details for the file euphonic-1.2.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for euphonic-1.2.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 dd9231aae9bb26b6fd39f7e3d662df6ecac25295239739d7c7a26e2e4be68d3f
MD5 a041cc36a12069657c6f82899db1f346
BLAKE2b-256 0df2df470c12ce77bc3e4d7c5c3da180268f015c7f8717f3676fb98fe2370eb0

See more details on using hashes here.

File details

Details for the file euphonic-1.2.0-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for euphonic-1.2.0-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 e14355d47020978b6f477a7764a113757bf56db3b06478afe6dc7c8d08ccddc9
MD5 52d384fde2f606ca62cd5b62719a6d2a
BLAKE2b-256 d8ff293975866d334230c2014a56246ed48d649304e19b4007158395598e7924

See more details on using hashes here.

File details

Details for the file euphonic-1.2.0-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: euphonic-1.2.0-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 167.5 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.8.16

File hashes

Hashes for euphonic-1.2.0-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 0a2bcc1a898fa01c1c43fbed9a600fadb56208cb2b1f15c3089c35b0a5db45c1
MD5 50f52e97b5ea302911d0b55da4495d0e
BLAKE2b-256 a01aff777dc0d79bb13beade8a244bf7baa23c66cf7f6378d769513602b58866

See more details on using hashes here.

File details

Details for the file euphonic-1.2.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for euphonic-1.2.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 3931e6b04ddc964b32b062e870adc5002e1d53a043971aa83febf2d731633afd
MD5 85feda7bb2731d9cafefe892b122656a
BLAKE2b-256 64146ef174ee8276f1f6b0adc2074acbe14cacfed283bbfde56c67a9395fa3a1

See more details on using hashes here.

File details

Details for the file euphonic-1.2.0-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for euphonic-1.2.0-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 c00802360a3a5c339a3235f067f3edecc1770537fbd6b1c2292f8a3514f4ce71
MD5 48d45587650299cab0759d6203984c32
BLAKE2b-256 8f328e69215da1c1696fe2e49918c6456dd644dc9dfc3e23c8a63f100a9aa6b0

See more details on using hashes here.

File details

Details for the file euphonic-1.2.0-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: euphonic-1.2.0-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 167.5 kB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.7.16

File hashes

Hashes for euphonic-1.2.0-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 01cef8857f7d95c2b61b58ba2e66ba1519a69e6034cf76a8b25aa79d63ce718b
MD5 a44f707e0565d4f8ea75cb338740cca3
BLAKE2b-256 14f0f28a77a968d5979406031041d328db1dbba3f7f496c312eddeaf64155e03

See more details on using hashes here.

File details

Details for the file euphonic-1.2.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for euphonic-1.2.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 f6d3d23dd1a9ca543799eefed67e4ddbbb34bdf88fc755d5641ea78b65ea3c96
MD5 371d710a79a27172ae16a79fdf111c82
BLAKE2b-256 311f7f9d0aa8f1987e4018e1a8cfcbd17d81d40ca3b17acb95fd12c6e79c1b5f

See more details on using hashes here.

File details

Details for the file euphonic-1.2.0-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for euphonic-1.2.0-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 54c56a8086fdbeca9905741b54453466d62ee4fe03d6f148110a31b536ea77f2
MD5 a948730451633cf09b4cf9bdf634452d
BLAKE2b-256 2cab0efc4132deb21ed0dcb2538ba50dfde4c42490d32af9b17add2b197736c8

See more details on using hashes here.

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