Direct and idiomatic bindings to the OpenSees framework.

These details have not been verified by PyPI

Project links

Repository

GitHub Statistics

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Project description

OpenSeesRT

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

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 Linux.

Project details

These details have not been verified by PyPI

Project links

Repository

GitHub Statistics

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Release history Release notifications | RSS feed

0.0.61

Apr 29, 2024

0.0.60

Apr 20, 2024

0.0.59

Apr 13, 2024

0.0.58

Mar 19, 2024

0.0.57

Mar 19, 2024

0.0.56

Feb 10, 2024

0.0.55

Jan 30, 2024

0.0.54

Jan 27, 2024

0.0.53

Jan 27, 2024

0.0.52

Jan 9, 2024

0.0.51

Dec 15, 2023

This version

0.0.50

Oct 4, 2023

0.0.49

Oct 4, 2023

0.0.48

Oct 2, 2023

0.0.46

Aug 15, 2023

0.0.45

Aug 11, 2023

0.0.44

Aug 4, 2023

0.0.43

Aug 4, 2023

0.0.42

Aug 4, 2023

0.0.41

Aug 4, 2023

0.0.40

Jul 18, 2023

0.0.39

Jul 18, 2023

0.0.38

Jul 18, 2023

0.0.37

Jul 17, 2023

0.0.36

Jul 17, 2023

0.0.35

Jul 16, 2023

0.0.33

May 20, 2023

0.0.31

Feb 27, 2023

0.0.30

Feb 26, 2023

0.0.29

Feb 26, 2023

0.0.28

Feb 26, 2023

0.0.27

Sep 12, 2022

0.0.25

Sep 12, 2022

0.0.24

Aug 19, 2022

0.0.23

Aug 8, 2022

0.0.22

Jul 8, 2022

0.0.20

Jun 7, 2022

0.0.19

Jun 7, 2022

0.0.18

Jun 7, 2022

0.0.17

Jun 7, 2022

0.0.16

Jun 7, 2022

0.0.15

Jun 7, 2022

0.0.13

May 20, 2022

0.0.12

May 20, 2022

0.0.10

May 20, 2022

0.0.9

May 20, 2022

0.0.8

May 14, 2022

0.0.7

May 14, 2022

0.0.6

Mar 10, 2022

0.0.5

Mar 3, 2022

0.0.4

Feb 25, 2022

0.0.3

Feb 23, 2022

0.0.2

Feb 23, 2022

0.0.1

Feb 22, 2022

0.0.0

Feb 5, 2022

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

opensees-0.0.50-cp312-cp312-manylinux_2_28_x86_64.whl (21.4 MB view hashes)

Uploaded Oct 4, 2023 CPython 3.12 manylinux: glibc 2.28+ x86-64

opensees-0.0.50-cp311-cp311-manylinux_2_28_x86_64.whl (21.4 MB view hashes)

Uploaded Oct 4, 2023 CPython 3.11 manylinux: glibc 2.28+ x86-64

opensees-0.0.50-cp310-cp310-manylinux_2_28_x86_64.whl (21.4 MB view hashes)

Uploaded Oct 4, 2023 CPython 3.10 manylinux: glibc 2.28+ x86-64

opensees-0.0.50-cp39-cp39-manylinux_2_28_x86_64.whl (21.4 MB view hashes)

Uploaded Oct 4, 2023 CPython 3.9 manylinux: glibc 2.28+ x86-64

opensees-0.0.50-cp38-cp38-manylinux_2_28_x86_64.whl (21.4 MB view hashes)

Uploaded Oct 4, 2023 CPython 3.8 manylinux: glibc 2.28+ x86-64

opensees-0.0.50-cp37-cp37m-manylinux_2_28_x86_64.whl (21.4 MB view hashes)

Uploaded Oct 4, 2023 CPython 3.7m manylinux: glibc 2.28+ x86-64

Hashes for opensees-0.0.50-cp312-cp312-manylinux_2_28_x86_64.whl

Hashes for opensees-0.0.50-cp312-cp312-manylinux_2_28_x86_64.whl
Algorithm	Hash digest
SHA256	`45f3ae186ce7b18b866d61f84d3a38ceec598f332fde0ca879209cd965a29c6d`
MD5	`f2f9fc00073daaea6dfc14c19102eaad`
BLAKE2b-256	`bc6badce1468e8e5bb2259fb8fd820decaad8fcd088c64402b7caf75509cfd1c`

Hashes for opensees-0.0.50-cp311-cp311-manylinux_2_28_x86_64.whl

Hashes for opensees-0.0.50-cp311-cp311-manylinux_2_28_x86_64.whl
Algorithm	Hash digest
SHA256	`196df89a701a241f04c538b9b441e41f2f7ebcf439501e9a4dd2fd7aa56f4426`
MD5	`b68fb5b147ef9bf81d3a0981cb557065`
BLAKE2b-256	`6ff82902ae396d2cb801a38e24c0a1cad6a9f27958c95bdc20c0d9c3131421a9`

Hashes for opensees-0.0.50-cp310-cp310-manylinux_2_28_x86_64.whl

Hashes for opensees-0.0.50-cp310-cp310-manylinux_2_28_x86_64.whl
Algorithm	Hash digest
SHA256	`1c523c2a2c8567791b66969eb35b304994c1dd3340ff6a9a0d5c97f44fcd96a3`
MD5	`fbbc5422ea99a6b10c2cb90cf12bf6e9`
BLAKE2b-256	`8eb3a3101a83c4ac275e91851a1c243734ae0659c5cbaee14e33cca0d8b3a51f`

Hashes for opensees-0.0.50-cp39-cp39-manylinux_2_28_x86_64.whl

Hashes for opensees-0.0.50-cp39-cp39-manylinux_2_28_x86_64.whl
Algorithm	Hash digest
SHA256	`e7d8eb905a947cc5f5118a43d9800a1d8bd7990f8ce60bfcb07c15577da5c4fe`
MD5	`189c59ebc908bc63d2c46d786f37bc81`
BLAKE2b-256	`bc8d487c8c9bba0d11c6bdd9fbeb237101a1931f3997919b672c625f683ea959`

Hashes for opensees-0.0.50-cp38-cp38-manylinux_2_28_x86_64.whl

Hashes for opensees-0.0.50-cp38-cp38-manylinux_2_28_x86_64.whl
Algorithm	Hash digest
SHA256	`24027af0ea7c3cf505fd0d2e5472569c1a74f3c835c5b7a4e356664ba721a4ef`
MD5	`967a38fe9f11729d781a656526819fa4`
BLAKE2b-256	`ccf12c098d644dafcae5c817ea6775b4e6469158529ccfd4b81f887b0a5075f8`

Hashes for opensees-0.0.50-cp37-cp37m-manylinux_2_28_x86_64.whl

Hashes for opensees-0.0.50-cp37-cp37m-manylinux_2_28_x86_64.whl
Algorithm	Hash digest
SHA256	`bfa661efa0789247cb5190672709766d7c40d8cd0924b48b73a0b29dff0e45c6`
MD5	`91d13f2311599023f7c3f74f3b4cf29e`
BLAKE2b-256	`261375a8ec3e1bd0c6c1a70e98d5bdec0d4554c50b0ceba088f5088ecd1abe96`