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

This version

1.9.0

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-1.9.0-cp312-cp312-win_amd64.whl (108.7 kB view details)

Uploaded CPython 3.12Windows x86-64

opengeode_stochastic-1.9.0-cp312-cp312-manylinux_2_28_x86_64.whl (118.8 kB view details)

Uploaded CPython 3.12manylinux: glibc 2.28+ x86-64

opengeode_stochastic-1.9.0-cp311-cp311-win_amd64.whl (108.5 kB view details)

Uploaded CPython 3.11Windows x86-64

opengeode_stochastic-1.9.0-cp311-cp311-manylinux_2_28_x86_64.whl (119.5 kB view details)

Uploaded CPython 3.11manylinux: glibc 2.28+ x86-64

opengeode_stochastic-1.9.0-cp310-cp310-win_amd64.whl (107.8 kB view details)

Uploaded CPython 3.10Windows x86-64

opengeode_stochastic-1.9.0-cp310-cp310-manylinux_2_28_x86_64.whl (118.1 kB view details)

Uploaded CPython 3.10manylinux: glibc 2.28+ x86-64

opengeode_stochastic-1.9.0-cp39-cp39-win_amd64.whl (108.2 kB view details)

Uploaded CPython 3.9Windows x86-64

opengeode_stochastic-1.9.0-cp39-cp39-manylinux_2_28_x86_64.whl (118.4 kB view details)

Uploaded CPython 3.9manylinux: glibc 2.28+ x86-64

File details

Details for the file opengeode_stochastic-1.9.0-cp312-cp312-win_amd64.whl.

File metadata

File hashes

Hashes for opengeode_stochastic-1.9.0-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 0eb4689e096dae4875143880e0dcba1abedd7d45f9f7ebc42fa602c4e9faa4d0
MD5 0c8dc806be6b0f320b940f332d8dc66f
BLAKE2b-256 7227e3ef1fb5dcc0c19b92344d11c18eadbe0806e99dec24701a17530fe9da14

See more details on using hashes here.

File details

Details for the file opengeode_stochastic-1.9.0-cp312-cp312-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for opengeode_stochastic-1.9.0-cp312-cp312-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 4f06ebb0c14d6942602fb14cde580b761812ccd2b3f44c4043d58608da93395f
MD5 6f5b0130f38ead482fde35205720c22f
BLAKE2b-256 4e156bd1137463308975d2400194ec6ed9e7ed3037b254e9478e135d862466ec

See more details on using hashes here.

File details

Details for the file opengeode_stochastic-1.9.0-cp311-cp311-win_amd64.whl.

File metadata

File hashes

Hashes for opengeode_stochastic-1.9.0-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 39fae1e4c705a6722b144097c626efe69c2e6d5a3caee44c776053865de45002
MD5 5a1dd522b90696c7c3e6dbbd679ecea5
BLAKE2b-256 00f36268e19e727d1f51d9b9337d87ae59651ae92d34ec55b534937494ad8fd2

See more details on using hashes here.

File details

Details for the file opengeode_stochastic-1.9.0-cp311-cp311-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for opengeode_stochastic-1.9.0-cp311-cp311-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 719a6e8164756ad44e649692e07726e162fdb1317cc764beabcbe07ea6a77a32
MD5 22edfad141c1917a887a91be9a4823eb
BLAKE2b-256 39d8d77e71fd1231545dc0af08d65e7d7f8089c64327fd9b547a81d8264ab3e5

See more details on using hashes here.

File details

Details for the file opengeode_stochastic-1.9.0-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for opengeode_stochastic-1.9.0-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 44a58337b4352c2cf4bb9a97301bcdfac471022ac8df33707a8edacb8b4b1f41
MD5 b47f7da7a9d05ebb635d45c6cef8031c
BLAKE2b-256 9aa2065c27a361eb78d8af1ec60b0c64cf06bb1be215909b688b58308bc954a9

See more details on using hashes here.

File details

Details for the file opengeode_stochastic-1.9.0-cp310-cp310-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for opengeode_stochastic-1.9.0-cp310-cp310-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 c1aa8a88978c15d9008e66066981b76210d8f072c6b1aa62cb5cc43dd6b1debe
MD5 679a4dfa0ad096502b84a6828be55aaf
BLAKE2b-256 290a80610e5210524be6c594c91b3edf389d84967bc08c4b26febd78eb40f20f

See more details on using hashes here.

File details

Details for the file opengeode_stochastic-1.9.0-cp39-cp39-win_amd64.whl.

File metadata

File hashes

Hashes for opengeode_stochastic-1.9.0-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 2123ba92582b74d06e30758f670859672ceec0d910ba5bc859a6e0df1a4e5618
MD5 13368e8154c59e83f7c262b99f20237e
BLAKE2b-256 504c3327621c49f3a6f1715e74aa412bb47e6a25b9b8ab5f223e0404061ad259

See more details on using hashes here.

File details

Details for the file opengeode_stochastic-1.9.0-cp39-cp39-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for opengeode_stochastic-1.9.0-cp39-cp39-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 66a4fb3b1e04460da9573acaaaae150392c16cea65b16b4646aabcf4a569ebba
MD5 adf51602d6e58a9d162f25178a2c7866
BLAKE2b-256 ade38bc7584f654776b9e958e8a7cc59382fd8369c8e897e73122c3defeaf45c

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