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.dev20201108.tar.gz (7.8 MB view details)

Uploaded Source

Built Distributions

pymoose-3.2.1.dev20201108-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.dev20201108-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.dev20201108-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.dev20201108-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.dev20201108-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.dev20201108-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.dev20201108.tar.gz.

File metadata

  • Download URL: pymoose-3.2.1.dev20201108.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.dev20201108.tar.gz
Algorithm Hash digest
SHA256 b7ca46bf0a7f3107f27c78e5eb3caaed3b64193e6a2a9220bc2d7e1e712d3f2c
MD5 cb959f92f4183435bc4218a76d462e99
BLAKE2b-256 ab45d800be7363c680b7d2db44a2bae4daf081426f560f843dbe9357126403e0

See more details on using hashes here.

File details

Details for the file pymoose-3.2.1.dev20201108-cp39-cp39-macosx_10_15_x86_64.whl.

File metadata

  • Download URL: pymoose-3.2.1.dev20201108-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.dev20201108-cp39-cp39-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 6f16901c93d1f50513855e28d9299dc378d0e29460a0c8d4fc26b90afeaa0b32
MD5 d9b21c1c2d80678a73f06615e6292e50
BLAKE2b-256 f28c0b197735b069ff69bf397b6731ec5a33266f314cf7dbcda9134ecde87f3d

See more details on using hashes here.

File details

Details for the file pymoose-3.2.1.dev20201108-cp38-cp38-manylinux2010_x86_64.whl.

File metadata

  • Download URL: pymoose-3.2.1.dev20201108-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.dev20201108-cp38-cp38-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 9fb88871f3c5841a2915560e2a16fd0ebd4be0dc3d5185a9fcab095f94a23433
MD5 b6a9d6f96b4299388942a2164c81cbdd
BLAKE2b-256 3f05da4f1a6ddb41e86de3b614c732f258f6223586203c1cbae0a08450a1d63c

See more details on using hashes here.

File details

Details for the file pymoose-3.2.1.dev20201108-cp37-cp37m-manylinux2010_x86_64.whl.

File metadata

  • Download URL: pymoose-3.2.1.dev20201108-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.dev20201108-cp37-cp37m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 d8ea0928a68038fd05fa1c99dacd42e75307d35fef4af18768490cfc4de94108
MD5 92d85cd23049dba408e602fd588f8522
BLAKE2b-256 90350be0bcd0f29424bf7914035f20cdf59406813db64546c5708c00e60f7bdb

See more details on using hashes here.

File details

Details for the file pymoose-3.2.1.dev20201108-cp37-cp37m-macosx_10_14_x86_64.whl.

File metadata

  • Download URL: pymoose-3.2.1.dev20201108-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.dev20201108-cp37-cp37m-macosx_10_14_x86_64.whl
Algorithm Hash digest
SHA256 892db4c0b0f92c37868cd687216c4bac193364ad72c76f464e68b894b84481d3
MD5 b5ed3ea8ab6943c7229be1283834791d
BLAKE2b-256 abeadb299c5222778143a6fc90db5f6db805347bdae4574fa5907d647fa69b5d

See more details on using hashes here.

File details

Details for the file pymoose-3.2.1.dev20201108-cp37-cp37m-macosx_10_13_x86_64.whl.

File metadata

  • Download URL: pymoose-3.2.1.dev20201108-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.dev20201108-cp37-cp37m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 0744088f0c9d075b9088dc302036c11689ad67c3889831a356120dc76e563929
MD5 d2bcf4c9888445b029da9bdd46909cf8
BLAKE2b-256 c4d16aeefed72600e87c2d109d25f17dafca973a53e72d5955654f4c3238f9c2

See more details on using hashes here.

File details

Details for the file pymoose-3.2.1.dev20201108-cp36-cp36m-manylinux2010_x86_64.whl.

File metadata

  • Download URL: pymoose-3.2.1.dev20201108-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.dev20201108-cp36-cp36m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 e9f02a4ebae74c8dd5803e77c42846042c9a01a10df356cb4982e6bf4ad05fa6
MD5 16a3641b201e0821de99bedda04a1bcb
BLAKE2b-256 b14424770539592527173dd893e0f81a211466dbcebe4363459c47527c98bc46

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