Skip to main content

Python scripting interface of MOOSE Simulator (https://moose.ncbs.res.in)

Project description

Build Status - master | PyPI version

This is the core computational engine of MOOSE simulator. This repository contains C++ codebase and python interface called pymoose. For more details about MOOSE simulator, visit https://moose.ncbs.res.in .

Installation

This repository is sufficient for using MOOSE as a python module. We provide python package via pip.

$ pip install pymoose --user 

To install nightly build:

$ pip install pymoose --user --pre --upgrde

Have a look at examples, tutorials and demo here https://github.com/BhallaLab/moose-examples.

Build

To build pymoose, follow instructions given here at https://github.com/BhallaLab/moose-core/blob/master/INSTALL.md

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 Distribution

pymoose-3.2.1.dev20201101.tar.gz (7.8 MB view details)

Uploaded Source

Built Distributions

pymoose-3.2.1.dev20201101-cp39-cp39-macosx_10_15_x86_64.whl (4.7 MB view details)

Uploaded CPython 3.9 macOS 10.15+ x86-64

pymoose-3.2.1.dev20201101-cp38-cp38-manylinux2010_x86_64.whl (5.6 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.12+ x86-64

pymoose-3.2.1.dev20201101-cp37-cp37m-manylinux2010_x86_64.whl (5.6 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.12+ x86-64

pymoose-3.2.1.dev20201101-cp37-cp37m-macosx_10_14_x86_64.whl (4.9 MB view details)

Uploaded CPython 3.7m macOS 10.14+ x86-64

pymoose-3.2.1.dev20201101-cp37-cp37m-macosx_10_13_x86_64.whl (5.0 MB view details)

Uploaded CPython 3.7m macOS 10.13+ x86-64

pymoose-3.2.1.dev20201101-cp36-cp36m-manylinux2010_x86_64.whl (5.6 MB view details)

Uploaded CPython 3.6m manylinux: glibc 2.12+ x86-64

File details

Details for the file pymoose-3.2.1.dev20201101.tar.gz.

File metadata

  • Download URL: pymoose-3.2.1.dev20201101.tar.gz
  • Upload date:
  • Size: 7.8 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.24.0 setuptools/50.3.2 requests-toolbelt/0.9.1 tqdm/4.51.0 CPython/3.8.6

File hashes

Hashes for pymoose-3.2.1.dev20201101.tar.gz
Algorithm Hash digest
SHA256 183fa6c663d226b8b4299f2b3032a7d0ae8090c16f865a5c5d09a49557075204
MD5 cff68264a1e34d4f42fddf69bcf410f7
BLAKE2b-256 b1e104a28a28aa135436fdb589697a6a29ce7410f5321c496de3befe60805bbf

See more details on using hashes here.

File details

Details for the file pymoose-3.2.1.dev20201101-cp39-cp39-macosx_10_15_x86_64.whl.

File metadata

  • Download URL: pymoose-3.2.1.dev20201101-cp39-cp39-macosx_10_15_x86_64.whl
  • Upload date:
  • Size: 4.7 MB
  • Tags: CPython 3.9, macOS 10.15+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.24.0 setuptools/50.3.2 requests-toolbelt/0.9.1 tqdm/4.51.0 CPython/3.9.0

File hashes

Hashes for pymoose-3.2.1.dev20201101-cp39-cp39-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 96903eb4db4300e0e8b660f1d0e0f7787d12fda86d558e88af355907b8fec8f6
MD5 6cc3f6f1abf76bd3a163d753115ae3f1
BLAKE2b-256 a82f7c5390025eee7a32c8bc81e91940fce5c524002524128dac95457ad05014

See more details on using hashes here.

File details

Details for the file pymoose-3.2.1.dev20201101-cp38-cp38-manylinux2010_x86_64.whl.

File metadata

  • Download URL: pymoose-3.2.1.dev20201101-cp38-cp38-manylinux2010_x86_64.whl
  • Upload date:
  • Size: 5.6 MB
  • Tags: CPython 3.8, manylinux: glibc 2.12+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.24.0 setuptools/50.3.2 requests-toolbelt/0.9.1 tqdm/4.51.0 CPython/3.8.6

File hashes

Hashes for pymoose-3.2.1.dev20201101-cp38-cp38-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 2142ad25d646344f1dc773e1a2ece09b182aee77976a063a7719b497e010d2e4
MD5 0986e97d95d7d45fa9db6edfb542724e
BLAKE2b-256 4fa10f5a4ee3f7977bfdeb4e68ecabb90f84f11d990cba5447cbd7f3ff012fc1

See more details on using hashes here.

File details

Details for the file pymoose-3.2.1.dev20201101-cp37-cp37m-manylinux2010_x86_64.whl.

File metadata

  • Download URL: pymoose-3.2.1.dev20201101-cp37-cp37m-manylinux2010_x86_64.whl
  • Upload date:
  • Size: 5.6 MB
  • Tags: CPython 3.7m, manylinux: glibc 2.12+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.24.0 setuptools/50.3.2 requests-toolbelt/0.9.1 tqdm/4.51.0 CPython/3.8.6

File hashes

Hashes for pymoose-3.2.1.dev20201101-cp37-cp37m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 ad193dab1fe2db0df3ee87bca7a01c4f1ff0a7a998be7b425d4019ef07c7178c
MD5 ef8e876292a9af1252ba556e4b9fd887
BLAKE2b-256 d4cc1afffb82b64708fc1beddb06b60c55bdd346375a2d11442ba6cc0f81b16e

See more details on using hashes here.

File details

Details for the file pymoose-3.2.1.dev20201101-cp37-cp37m-macosx_10_14_x86_64.whl.

File metadata

  • Download URL: pymoose-3.2.1.dev20201101-cp37-cp37m-macosx_10_14_x86_64.whl
  • Upload date:
  • Size: 4.9 MB
  • Tags: CPython 3.7m, macOS 10.14+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.24.0 setuptools/50.3.2 requests-toolbelt/0.9.1 tqdm/4.51.0 CPython/3.7.7

File hashes

Hashes for pymoose-3.2.1.dev20201101-cp37-cp37m-macosx_10_14_x86_64.whl
Algorithm Hash digest
SHA256 7123d5c42ad556c796779cb89d3f6e6da621fcee7eec885fa4172630904f97a2
MD5 596fc20981771d0393d3f69cc1b0bbe9
BLAKE2b-256 9d06a07110d0ef5188be03625836bce814b7bbeded33efa41c1d260fe4585642

See more details on using hashes here.

File details

Details for the file pymoose-3.2.1.dev20201101-cp37-cp37m-macosx_10_13_x86_64.whl.

File metadata

  • Download URL: pymoose-3.2.1.dev20201101-cp37-cp37m-macosx_10_13_x86_64.whl
  • Upload date:
  • Size: 5.0 MB
  • Tags: CPython 3.7m, macOS 10.13+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.24.0 setuptools/50.3.2 requests-toolbelt/0.9.1 tqdm/4.51.0 CPython/3.7.5

File hashes

Hashes for pymoose-3.2.1.dev20201101-cp37-cp37m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 82ad1fc058fb13a06ca0182e5ff6a1a0b0d5249d764c4eea21e0fb94f0f28801
MD5 9c8b69591a05697e522a4a0c40b4e6f4
BLAKE2b-256 d3cfc751ad9ad6e780949553c278b958b29970d9585238f2c82c46a6f7b514da

See more details on using hashes here.

File details

Details for the file pymoose-3.2.1.dev20201101-cp36-cp36m-manylinux2010_x86_64.whl.

File metadata

  • Download URL: pymoose-3.2.1.dev20201101-cp36-cp36m-manylinux2010_x86_64.whl
  • Upload date:
  • Size: 5.6 MB
  • Tags: CPython 3.6m, manylinux: glibc 2.12+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.24.0 setuptools/50.3.2 requests-toolbelt/0.9.1 tqdm/4.51.0 CPython/3.8.6

File hashes

Hashes for pymoose-3.2.1.dev20201101-cp36-cp36m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 04e51d52b096416a0fc85886bb35f8c531fcc70af0ec5612b1ea2c87a0f3f3c6
MD5 9c60ebe6c32db60ad7782ba86ec1d7c2
BLAKE2b-256 548e82aadf25744a633eefd10d9272cf9730e8ec15e368d50b582624e1c73010

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page