Skip to main content

Direct and idiomatic bindings to the OpenSees framework.

Project description

OpenSeesRT

PEER Logo

Direct and idiomatic C++ bindings to the OpenSees framework for finite element analysis.



Latest PyPI version PyPI Downloads

This is an experimental package that provides a complete OpenSees Tcl interpreter, as well as a new set of Python bindings that is both idiomatic, and free of global state.

This package is not yet intended for public use.

Note This package is independent of the openseespy library, which is documented in the OpenSees documentation website.

Python versions 3.7 - 3.11 are supported on both Windows and Linux.

See also:

  • sees Modern rendering library
  • ssid Optimized system identification library
  • sdof Optimized integration library

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

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

opensees-0.0.44-cp311-cp311-manylinux_2_28_x86_64.whl (22.3 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.28+ x86-64

opensees-0.0.44-cp310-cp310-manylinux_2_28_x86_64.whl (21.7 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.28+ x86-64

opensees-0.0.44-cp39-cp39-win_amd64.whl (93.8 MB view details)

Uploaded CPython 3.9Windows x86-64

opensees-0.0.44-cp39-cp39-manylinux_2_28_x86_64.whl (21.7 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.28+ x86-64

opensees-0.0.44-cp38-cp38-win_amd64.whl (93.8 MB view details)

Uploaded CPython 3.8Windows x86-64

opensees-0.0.44-cp38-cp38-manylinux_2_28_x86_64.whl (21.7 MB view details)

Uploaded CPython 3.8manylinux: glibc 2.28+ x86-64

opensees-0.0.44-cp37-cp37m-manylinux_2_28_x86_64.whl (21.7 MB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.28+ x86-64

File details

Details for the file opensees-0.0.44-cp311-cp311-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for opensees-0.0.44-cp311-cp311-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 10ff8bc86ef1c5f86ec921fa90b7831e80e1d7aa85c07b4eb7a7fceca699bd1a
MD5 e4a7b28113720dc105a7c6c12b04e922
BLAKE2b-256 f86c22e001551cd61e8711b66b4794e669330ff113734f94035ddb2be8770398

See more details on using hashes here.

File details

Details for the file opensees-0.0.44-cp310-cp310-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for opensees-0.0.44-cp310-cp310-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 7a1257dc8c553cb13ec6b180ade87373311b5fdc956618d23dfebc2510b45923
MD5 b304b031a52537e7a1120e0addb0b10a
BLAKE2b-256 554189d360563953345616bde66eded74bf09660620c71ce67af09eb63ce6bed

See more details on using hashes here.

File details

Details for the file opensees-0.0.44-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: opensees-0.0.44-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 93.8 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.11

File hashes

Hashes for opensees-0.0.44-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 c6bb4216188c5635b541cc8dd72e9e7fe13b1b1f68a1c0aebe68fca85a5b42ba
MD5 07932f6252a2bc36501d0561c2f75105
BLAKE2b-256 bdd8c45985b5d739b274077d6138b609fd6d4e65a096246f9ff1ca352665e690

See more details on using hashes here.

File details

Details for the file opensees-0.0.44-cp39-cp39-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for opensees-0.0.44-cp39-cp39-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 d1959bf162959dc56645f320037b2b28bff78bf97b1deb0c8a0a8d0f230ef25e
MD5 3015c709a9f2be9a6558046cdd292d1c
BLAKE2b-256 4efb4bf0519e61766cb50865e26e7bf0672ac81d91c58a0f8c015ca74d442fc6

See more details on using hashes here.

File details

Details for the file opensees-0.0.44-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: opensees-0.0.44-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 93.8 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.11

File hashes

Hashes for opensees-0.0.44-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 6e6df2c344bf3d7eb5d90110261585bdb0298f025bcbb941c567f8b3e5832331
MD5 58f26e338654bda3a0e70d20dcbbb908
BLAKE2b-256 7d89977a26b3fe4cf28e9bfdb6062db20be379bb15fedb1ca22d20c4cc4db335

See more details on using hashes here.

File details

Details for the file opensees-0.0.44-cp38-cp38-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for opensees-0.0.44-cp38-cp38-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 3d80ae186557187dd10503933572aa60539ce44bbf510395055ae9f1b99c904c
MD5 bd75dfb712fa2917796c2e3e6718dbc0
BLAKE2b-256 4fc6711d7b7e99f4da7b073d48e4f4991e156a3ca9c61cd13ab18ac4b275a336

See more details on using hashes here.

File details

Details for the file opensees-0.0.44-cp37-cp37m-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for opensees-0.0.44-cp37-cp37m-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 d72cd827c7982ad8ad18f62eaa647ebebf08de8a08b9f9100b75beeb6f2d3f04
MD5 21b605cae72eae985cb84636bf453b6f
BLAKE2b-256 bf6a525b29c0f0958068b7c987239d75236daf7507abe8498699b92781d45a46

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