The python-cybox library is developed on Python 2.7 and tested against both Python 2.6 and 2.7. Besides the Python Standard Library, python-cybox relies on the following Python libraries:

  • lxml - A Pythonic binding for the C libraries libxml2 and libxslt.
  • python-dateutil - A library for parsing datetime information.
  • importlib (Python 2.6) - Convenience wrappers for __import__().


importlib is built into Python 2.7, and is available on PyPI for Python 2.6.

Each of these can be installed with pip or by manually downloading packages from PyPI. On Windows, you will probably have the most luck using pre-compiled binaries for lxml. On Ubuntu (12.04 or 14.04), you should make sure the following packages are installed before attempting to compile lxml from source:

  • libxml2-dev
  • libxslt1-dev
  • zlib1g-dev

Manual Installation

If you are unable to use pip, you can also install python-cybox with setuptools. If you don’t already have setuptools installed, please install it before continuing.

  1. Download and install the dependencies above. Although setuptools will generally install dependencies automatically, installing the dependencies manually beforehand helps distinguish errors in dependency installation from errors in python-cybox installation. Make sure you check to ensure the versions you install are compatible with the version of python-cybox you plan to install.
  2. Download the desired version of python-cybox from PyPI or the GitHub releases page. The steps below assume you are using the release.
  3. Extract the downloaded file. This will leave you with a directory named cybox-
$ tar -zxf cybox-
$ ls
cybox- cybox-


$ unzip
$ ls
  1. Run the installation script.
$ cd cybox-
$ python install
  1. Test the installation.
$ python
Python 2.7.6 (default, Mar 22 2014, 22:59:56)
[GCC 4.8.2] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> import cybox

If you don’t see an ImportError, the installation was successful.

Further Information

If you’re new to installing Python packages, you can learn more at the Python Packaging User Guide, specifically the Installing Python Packages section.