.. include:: ../references.txt .. _install: ************ Installation ************ * Gammapy works with legacy Python (version 2.7) as well as Python 3 (version 3.5 or above). * The core dependencies are Numpy and Astropy, as well as for now the regions package (until it is merged into Astropy core). * The main optional dependencies are PyYAML, Scipy, healpy, uncertainties and Sherpa (only imported when used). * Linux and Mac OS are fully supported. * Windows is fully supported by Gammapy, but not by Sherpa (which is used as a backend for modeling and fitting in Gammapy), so on Windows only part of the Gammapy functionality is available. * You can always check what the latest stable release of Gammapy is here: https://pypi.python.org/pypi/gammapy Quick install guide =================== Stable version -------------- You can install the latest stable version of Gammapy with conda:: conda install -c conda-forge gammapy or with pip:: python -m pip install gammapy or with Macports (a package manager for Mac OS):: sudo port install gammapy Gammapy is not yet available in the Linux distributions, i.e. at this time you can't install it with e.g. ``apt-get`` or ``yum``. Development version ------------------- You can install the development version of Gammapy like this:: python -m pip install --user git+https://github.com/gammapy/gammapy.git This will ``git clone`` the Gammapy repository from Github into a temp folder and then build and install Gammapy from there. If there are any errors related to Cython, Numpy or Astropy, you should install those first and try again:: conda install -c cython numpy astropy click regions python -m pip install --user git+https://github.com/gammapy/gammapy.git How to get set up for Gammapy development is described here: :ref:`dev_setup` Verify ------ To verify that Gammapy is installed and available, and to check it's version and where it's located, type this:: $ python >>> import gammapy >>> print(gammapy.__version__) >>> print(gammapy.__path__) Need help? ========== If you're not sure how to best install Gammapy on your machine (e.g. whether to use conda or pip or Macports ...), we recommend that you give conda a try first. It's a binary package manager (so generally installation is fast), and allows you to install any software in your home folder (without needing ``sudo``) and works the same on Linux, Mac OS and Windows. Many Gammapy users and developers use conda and are happy with it. There is a nice blog post `Installing Python Packages from a Jupyter Notebook`_ that explains how to install Python packages in general with ``pip`` and ``conda``, specifically from inisde Jupyter notebooks, but also in general it's a good introduction how Python package installation with ``pip`` and ``conda`` work. If you have any questions or issues, don't hesitate to ask on the `Gammapy mailing list`_! Detailed information ==================== Once you've made your choice how to install Gammapy, you can find detailed information on the following sub-pages: .. toctree:: :maxdepth: 1 conda pip macports other check dependencies If you'd like to make a code contribution to Gammapy, please see the developer documentation for information how to get set up (e.g. to code, run tests, generate docs locally).