Install

Wiki ▸ Documentation ▸ Install

CDAT is installed via Anaconda

For windows 10 and up see here

Bypassing firewalls

• If your institution has tight ssl certificate/security issues try:
  • conda config --set ssl_verify false
  • binstar config --set ssl_verify False

Installing from an environment file

The easiest way to install an official stable release of CDAT is to download the corresponding conda environment.

We provide env files for both Mac and Linux and for Python2 and Python3.

For each of these we also provide a mesalib-enabled version which is especially useful for users running batch jobs remotely on "headless" machines that do not have a graphics card or display attached. In the mesalib-enabled version plot will NOT require a X11 connection and images will be rendered in memory rather than onscreen. A user will not see any results until he or she saves the output to a .png file.

Python 2

Linux (and Windows)

• 8.0 Linux Py2
• 8.0 Linux Py2 Mesalib

Mac OSX

• 8.0 OSX Py2
• 8.0 OSX Py2 Mesalib

Python 3

Linux (and Windows)

• 8.0 Linux Py3
• 8.0 Linux Py3 Mesalib

Mac OSX

• 8.0 OSX Py3
• 8.0 OSX Py3 Mesalib

Once downloaded simply run:

conda env create -n cdat8 -f cdat-v80_py2.Linux.yaml
conda activate cdat8

On older conda versions you might need:

source activate cdat8

Earlier Releases (UV-CDAT)

• 2.12 Linux
• 2.12 OSX
• 2.12-nox Linux
• 2.12-nox OSX
• 2.10 Linux and OSX
• 2.10-nox Linux and OSX
• 2.8 Linux and OSX
• 2.8-nox Linux
• 2.6 Linux

Installing from conda channels

Alternatively, you can use regular conda commands to generate the environment.

Creating the environment

conda create -n cdat8 -c cdat/label/v81 -c conda-forge -c cdat python=2.7 cdat
conda activate cdat8

For Python3 use:

conda create -n cdat8 -c cdat/label/v81 -c conda-forge -c cdat python=3.6 cdat
conda activate cdat8

On older versions of anaconda you might need:

source activate cdat8

If you wish to obtain the mesalib-enabled version (headless display) simply add mesalib at the end of the install line:

conda create -n cdat8 -c cdat/label/v81 -c conda-forge -c cdat python=2.7 cdat mesalib

For Python3 use:

conda create -n cdat8 -c cdat/label/v81 -c conda-forge -c cdat python=3.6 cdat mesalib

or simply install it after the fact.

conda install -c cdat/label/v81 -c conda-forge mesalib vtk-cdat

For more details see:

• Install using Anaconda - Installation instructions for Anaconda users.

• Obtain CDAT nightly - Install CDAT nightlies.

For installation instructions for older releases see:

• Older releases installation instructions