Installation options

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Instead of installing Clawpack and all its dependencies, another alternative is Docker for Clawpack.

See also Previous versions of Clawpack.

Prerequisites: Before installing, check that you have the Installation Prerequisites.

Install using pip

This is the simplest approach, particularly if you already use pip for other purposes; see Installation instructions (pip).

Unfortunately if this doesn’t work it may be hard to debug what went wrong.

Install from a tarfile

Download a tar file of the latest release:

See Clawpack components for a list of what’s included in this tar file.

Save this tar file in the directory where you want the top level of the clawpack tree to reside. Then untar using the command:

tar -xzvf clawpack-v5.4.0.tar.gz

Then move into the top level directory:

cd clawpack-v5.4.0

Next install the Python components of Clawpack (but read the next two paragraphs first):

python setup.py install

This will compile a lot of Fortran code using f2py for PyClaw and may produce a lot of output.

If you get compilation errors in this step, or if you do not plan to use PyClaw, you can still use the Classic, AMRClaw, and GeoClaw version; see Install other packages without compiling PyClaw below.

If you only plan to use PyClaw, jump to Running an example. If you plan to use Classic, AMRClaw, or GeoClaw continue with Set environment variables to set the environment variables CLAW and FC.

Install other packages without compiling PyClaw

If you get errors in the compilation step when using pip install or python setup.py install, check Troubleshooting Installation. If your problem is not addressed there, please let us know or raise an issue. You can still use the Fortran codes (AMRClaw, GeoClaw, and Classic) by doing the following.

First, download a tarfile of the latest release as described above in the section Install from a tarfile.

Next Set environment variables, including CLAW, FC, and PYTHONPATH.

Then you should be able to do:

cd $CLAW   # assuming this environment variable was properly set
python setup.py symlink-only

This will create some symbolic links in the $CLAW/clawpack subdirectory of your top level Clawpack directory, but does not compile code or put anything in your site-packages. In Python you should now be able to do the following, for example:

>>> from clawpack import visclaw

If not then either your $PYTHONPATH environment variable is not set properly or the required symbolic links were not created. See Set environment variables for more information, and Python path if you are having problems with importing Python modules.

Next go to Running an example.

Install only PyClaw (for running in parallel)

First, install PyClaw as explained above. Then see the install instructions for Running in parallel.

Alternatively, you may use the following shell scripts (assembled by Damian San Roman) to install everything:

Install the latest development version

The development version of Clawpack can be obtained by cloning https://github.com/clawpack. This is advised for those who want to help develop Clawpack or to have the most recent bleeding edge version. See Installation instructions for developers for instructions.

Install using conda (does not require a Fortran compiler)

Warning

This is currently under development and not extensively tested.

You can install PyClaw and VisClaw only (without AMRClaw, GeoClaw, or Classic) via the conda package manager. Conda binaries are available for Mac OS X and Ubuntu Linux (may work on other flavors of Linux).

From a terminal, simply do:

conda install -c clawpack -c conda-forge clawpack=5.4.0

You might want to consider first creating a separate conda environment if you want to separate Clawpack and its dependencies from other versions of Python code.

See https://github.com/clawpack/conda-recipes.

Running Clawpack on a VM

See Docker for Clawpack to use Docker.

Other VM versions are currently out of date. Check back for updates to this page.

Next steps:

Once Clawpack is installed, you can go to one of the following pages to get started: