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.dev20210117.tar.gz (7.8 MB view details)

Uploaded Source

Built Distributions

pymoose-3.2.1.dev20210117-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.dev20210117-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.dev20210117-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.dev20210117-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.dev20210117-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.dev20210117-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.dev20210117.tar.gz.

File metadata

  • Download URL: pymoose-3.2.1.dev20210117.tar.gz
  • Upload date:
  • Size: 7.8 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/51.3.2 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.8.7

File hashes

Hashes for pymoose-3.2.1.dev20210117.tar.gz
Algorithm Hash digest
SHA256 bf9bc239c18588f30e55da08823523718bfbaa5cacfd4516b9d24c67a7787e71
MD5 75d590279dde00d8cd9153870bc8c058
BLAKE2b-256 5c85181e6ac25023e3e13f321b19d97b6290439992f0cdf1b581435e48a3c606

See more details on using hashes here.

File details

Details for the file pymoose-3.2.1.dev20210117-cp39-cp39-macosx_10_15_x86_64.whl.

File metadata

  • Download URL: pymoose-3.2.1.dev20210117-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/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/51.3.2 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.9.1

File hashes

Hashes for pymoose-3.2.1.dev20210117-cp39-cp39-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 bb66c3a397c7aa94cef7b1a18de4ee77bd91ef9ae0362ef017102c7010a80971
MD5 a6f7493eb09a98bbaa736abc63997246
BLAKE2b-256 23e86b85bdf21093ce8e1a38ec7c9f922510c1dbf730fab8bf07a4dfcba445a3

See more details on using hashes here.

File details

Details for the file pymoose-3.2.1.dev20210117-cp38-cp38-manylinux2010_x86_64.whl.

File metadata

  • Download URL: pymoose-3.2.1.dev20210117-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/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/51.3.2 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.8.7

File hashes

Hashes for pymoose-3.2.1.dev20210117-cp38-cp38-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 4ee371677482011d409a2fce7ae0407c9398e321b99f39990c32cbfff28f9a46
MD5 4da1e55b3fe346cb460af4884beb43b3
BLAKE2b-256 5967af4d8f55ac0da6fd38dbf21a1392e5a768b71e85fd3f30bbb331150170e3

See more details on using hashes here.

File details

Details for the file pymoose-3.2.1.dev20210117-cp37-cp37m-manylinux2010_x86_64.whl.

File metadata

  • Download URL: pymoose-3.2.1.dev20210117-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/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/51.3.2 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.8.7

File hashes

Hashes for pymoose-3.2.1.dev20210117-cp37-cp37m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 8f423dd6ff6276b5738a7e6539778edd63c39b17fc9d881d8168f95224970af4
MD5 ad94eb665ce2e79fd194a9fc444b7ec5
BLAKE2b-256 0044239036eaeb35d6c9e645d41b4e87afad368a2a403aebfff01c455341c67f

See more details on using hashes here.

File details

Details for the file pymoose-3.2.1.dev20210117-cp37-cp37m-macosx_10_14_x86_64.whl.

File metadata

  • Download URL: pymoose-3.2.1.dev20210117-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/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/51.3.2 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.7.7

File hashes

Hashes for pymoose-3.2.1.dev20210117-cp37-cp37m-macosx_10_14_x86_64.whl
Algorithm Hash digest
SHA256 ea96892d3d7dff253110c4e7a545699170d1a0de1f81d38f6913e0a2e898d0f7
MD5 51f234f215d07175c262232937ae2176
BLAKE2b-256 446d5e15a8e0b723c894a037f52c54e1ba4ab6ea5b3073cc9aaba67a9bec62f9

See more details on using hashes here.

File details

Details for the file pymoose-3.2.1.dev20210117-cp37-cp37m-macosx_10_13_x86_64.whl.

File metadata

  • Download URL: pymoose-3.2.1.dev20210117-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/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/51.3.2 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.7.5

File hashes

Hashes for pymoose-3.2.1.dev20210117-cp37-cp37m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 3dc1869eee66d7e5d98e5bb499bc9900949dd867ae589e66de0b504beaca024f
MD5 2e39dc95f09ede5648f0bb4941effb2c
BLAKE2b-256 7eb3e7f119bd121c9535ad02553c247f11c876314e80cd5f69fb35a24cdc8cca

See more details on using hashes here.

File details

Details for the file pymoose-3.2.1.dev20210117-cp36-cp36m-manylinux2010_x86_64.whl.

File metadata

  • Download URL: pymoose-3.2.1.dev20210117-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/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/51.3.2 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.8.7

File hashes

Hashes for pymoose-3.2.1.dev20210117-cp36-cp36m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 c2e3394cfd484b0f320d9684a3cdb8ea1f76e2793fb7384f45dda6ee6708a6f0
MD5 6221d38b65e8643e77770bebaa3adc59
BLAKE2b-256 6e2d4e4e93b081fff0fb4ec08431b436fd04a9ffd37ac850124eef00ebe6a2e7

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