Skip to main content

A module of the OpenGeode framework for stochastic modeling, simulation and bayesian inference

Project description

OpenGeode-Stochaticby Geode-solutions

A module of the OpenGeode framework for stochastic modeling, simulation and bayesian inference.

Build Status Deploy Status Coverage Status Version

Windows support Ubuntu support Red Hat support macOS support

Language License Semantic-release Slack invite DOI


Introduction

Documentation

Questions

For questions and support please use the official slack and go to the channel #module_template. The issue list of this repo is exclusively for bug reports and feature requests.

Interesting other projects

DRlib is a C++ library for modeling, simulation and inference of marked point processes: https://gitlab.univ-lorraine.fr/labos/iecl/drlib

License

MIT

Copyright (c) 2019 - 2025, Geode-solutions

Project details


Release history Release notifications | RSS feed

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.

opengeode_stochastic-1.18.0-cp312-cp312-win_amd64.whl (220.9 kB view details)

Uploaded CPython 3.12Windows x86-64

opengeode_stochastic-1.18.0-cp312-cp312-manylinux_2_28_x86_64.whl (247.9 kB view details)

Uploaded CPython 3.12manylinux: glibc 2.28+ x86-64

opengeode_stochastic-1.18.0-cp311-cp311-win_amd64.whl (219.9 kB view details)

Uploaded CPython 3.11Windows x86-64

opengeode_stochastic-1.18.0-cp311-cp311-manylinux_2_28_x86_64.whl (250.0 kB view details)

Uploaded CPython 3.11manylinux: glibc 2.28+ x86-64

opengeode_stochastic-1.18.0-cp310-cp310-win_amd64.whl (219.0 kB view details)

Uploaded CPython 3.10Windows x86-64

opengeode_stochastic-1.18.0-cp310-cp310-manylinux_2_28_x86_64.whl (249.0 kB view details)

Uploaded CPython 3.10manylinux: glibc 2.28+ x86-64

opengeode_stochastic-1.18.0-cp39-cp39-win_amd64.whl (230.5 kB view details)

Uploaded CPython 3.9Windows x86-64

opengeode_stochastic-1.18.0-cp39-cp39-manylinux_2_28_x86_64.whl (249.1 kB view details)

Uploaded CPython 3.9manylinux: glibc 2.28+ x86-64

File details

Details for the file opengeode_stochastic-1.18.0-cp312-cp312-win_amd64.whl.

File metadata

File hashes

Hashes for opengeode_stochastic-1.18.0-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 498c7010672b459fe06bae96911e564fc64584ade57fb33c8cac02a0fa75deeb
MD5 b72050dc58cabd9f60f13287b1588661
BLAKE2b-256 cf628e3821e7e7db7a689c6c2e373687d7b5507d4e3bd1b0f2e52fcb02ffa91c

See more details on using hashes here.

File details

Details for the file opengeode_stochastic-1.18.0-cp312-cp312-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for opengeode_stochastic-1.18.0-cp312-cp312-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 4cf8d0ce992fa90143479dc20772c060dc53e8416c0b8ecbd197eaf02d722fb9
MD5 f052b677b0b716fcf8db3bc2398e7cb0
BLAKE2b-256 941f59c18078c8b2f275680142c474f482656c85c6bf52d26ec7328130c4ff74

See more details on using hashes here.

File details

Details for the file opengeode_stochastic-1.18.0-cp311-cp311-win_amd64.whl.

File metadata

File hashes

Hashes for opengeode_stochastic-1.18.0-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 85855d20edf4d49a48655b149363637cf5b4c0978b787255b249357004b576c4
MD5 6d7fcc77c6b3ce439c53f1f3ae956cae
BLAKE2b-256 25edc46d0f2b09d9a2b92eddc50609fdc56984b0ac7ae460c3f575a1756978f2

See more details on using hashes here.

File details

Details for the file opengeode_stochastic-1.18.0-cp311-cp311-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for opengeode_stochastic-1.18.0-cp311-cp311-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 726b10d511224c31dc7a9ea7b7c5c94af4231f135e2829fe3dd194e2aaf1605b
MD5 a2aea7e0c5dc96c8edc8a0dbebe76cfd
BLAKE2b-256 2c2261b0d661eacebd8f7bf1f24e2ed5a8c9974a4fc40c401a42a61fbd45f19b

See more details on using hashes here.

File details

Details for the file opengeode_stochastic-1.18.0-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for opengeode_stochastic-1.18.0-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 818b4e89ba1acae3a528b7f25598e506793510ddbfff9670aba7ec86cbc9445a
MD5 03d7055dc9e2fdb44ff508eecbfa5e67
BLAKE2b-256 16b0e41cface661d2909928afc3448a6d740826d8c681ea1a82c9c1b2c617e56

See more details on using hashes here.

File details

Details for the file opengeode_stochastic-1.18.0-cp310-cp310-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for opengeode_stochastic-1.18.0-cp310-cp310-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 9f5cb1d2fd76e8fb9a00eeefc400929e95490cb04a593ef00096eb83f763a863
MD5 ba0ba6318f5086acff205b300a11b090
BLAKE2b-256 6b2bc7214d0af16ea886c01e92d6146cd7f7f470ba4de54e105e3a26d4a714ca

See more details on using hashes here.

File details

Details for the file opengeode_stochastic-1.18.0-cp39-cp39-win_amd64.whl.

File metadata

File hashes

Hashes for opengeode_stochastic-1.18.0-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 6e6fec19bb14536075753859d5548e9a82d779c85ed53ff74f70b7324e32b41c
MD5 2d17751c29c6299427538454ca145de9
BLAKE2b-256 f51770f7b9cee12e53b9823d4f8f39cc07940a59fb1cf5e4c0c6d350b9a68809

See more details on using hashes here.

File details

Details for the file opengeode_stochastic-1.18.0-cp39-cp39-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for opengeode_stochastic-1.18.0-cp39-cp39-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 fa825feb1281ad5950c235721132df4f4b4dc4f0574afc5218c25eca78397d65
MD5 b53def9f46f92397bd8b52b0a7f99de7
BLAKE2b-256 d276a67b33ddd53f086ef086d09d11e031d041395faf19fc24dcbafc1338c0e8

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