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Sahil Moza
moose
Commits
8637590a
Commit
8637590a
authored
8 years ago
by
Dilawar Singh
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Merge branch 'master' of github.com:BhallaLab/moose
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# Pre-built packages
See the file in the source code
`docs/introduction/install/index.rst`
.
Use our repositories hosted at
[
Open Build Service
](
http://build.opensuse.org
)
.
We have packages for Debian, Ubuntu, CentOS, Fedora, OpenSUSE/SUSE, RHEL,
Scientific Linux. Visit the following page and follow the instructions there.
A more readable version can be found online at following places:
https://software.opensuse.org/download.html?project=home:moose&package=moose
# Building from source
First, Download the latest source code of moose from github.
$ git clone https://github.com/BhallaLab/moose
$ cd moose
## Install dependencies
For moose-core:
-
gsl-1.16 or higher.
-
libhdf5
-
libsbml (optional)
Make sure that `libsml` is installed with `zlib` and `lxml` support.
If you are using buildtools, then use the following to install libsbml.
- wget http://sourceforge.net/projects/sbml/files/libsbml/5.9.0/stable/libSBML-5.9.0-core-src.tar.gz
- tar -xzvf libSBML-5.9.0-core-src.tar.gz
- cd libsbml-5.9.0
- ./configure --prefix=/usr --with-zlib --with-bzip2 --with-libxml
- make
- ctest --output-on-failure # optional
- sudo make install
For python module of MOOSE, following additional packages are required:
-
Development package of python e.g. libpython-dev
-
python-numpy
For python-gui, we need some more addtional packages
-
matplotlib
-
setuptools (cmake uses it to install moose python extension and moogli)
-
suds
-
Python bindings for Qt4 or higher
-
Python OpenGL
-
Python bindings for Qt's OpenGL module
On Ubuntu-120.4 or higher, these can be installed with:
sudo apt-get install python-matplotlib python-qt4 python-qt4-gl
## Use `cmake` to build moose:
$ mkdir _build
$ cd _build
$ cmake -DWITH_DOC=OFF ..
$ make
$ ctest --output-on-failure
This will build moose and its python extentions,
`ctest`
will run few tests to
check if build process was successful.
To install MOOSE into non-standard directory, pass additional argument
`-DCMAKE_INSTALL_PREFIX=path/to/install/dir`
to cmake.
After that installation is pretty easy.
## Install
$ sudo make install
# Building and installing moogli
MOOGLI is subproject of moogli for visualizing models. Details can be found
[
here
](
http://moose.ncbs.res.in/moogli
)
.
MOOGLI dependencies are huge! It uses
`OpenSceneGraph`
which has its own
dependencies. In nutshell, depending on your distribution, you would need
following packages to be installed.
-
Development package of libopenscenegraph
-
[
libQGLViewer-2.3.15-py
](
https://gforge.inria.fr/frs/?group_id=773
)
. Install
instructions
[
here
](
http://www.libqglviewer.com//installUnix.html#linux
)
-
[
PyQGLViewer0.10
](
https://gforge.inria.fr/frs/?group_id=773
)
(
first
install
libQGLViewer-2.3.15-py) and untar contents.
$ cd / PyQGLViewer0.10
$ python setup.py build # to compile
$ python setup.py install # to install on your system
$ python setup.py bdist # to create a binary distribution
On Ubuntu, following packages should suffice:
$ sudo apt-get install python-qt4-dev python-qt4-gl libopenscenegraph-dev python-sip-dev
libqt4-dev
## Travis
We use
`Travis-CI`
to build MOOSE after every commit. You can see
`.travis.yml`
file in our repository. It has all instructions to build MOOSE on
`Ubuntu-12.04
64bit`
server.
-
http://moose.readthedocs.io/en/latest/introduction/install/index.html
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[

](https://travis-ci.org/BhallaLab/moose)
[

](https://readthedocs.org/projects/moose/?badge=latest)
This is the parent repository of
[
MOOSE simulator
](
https://moose.ncbs.res.in
)
.
It keeps the snanshots of its components: core (written in C++) and python
scripting interface, MOOSE's Graphical User Interface (GUI). This should be the
source of stable MOOSE code.
# About
MOOSE is the Multiscale Object-Oriented Simulation Environment. It is designed
...
...
@@ -22,11 +27,6 @@ interface with Python, graphical displays with Matplotlib, PyQt, and OpenGL, and
support for many model formats. These include SBML, NeuroML, GENESIS kkit and
cell.p formats, HDF5 and NSDF for data writing.
This is the parent repository of
[
MOOSE simulator
](
https://moose.ncbs.res.in
)
.
It keeps the snanshots of components of MOOSE: core (written in C++) of MOOSE,
python scripting interface, and its graphical user interface (GUI). This is your
source stable MOOSE code.
# VERSION
This is MOOSE 3.0.2pre "Ghevar". The Ghevar release is the third of series 3 of MOOSE releases.
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