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            "Development Status :: 4 - Beta",
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            "Natural Language :: English",
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            "Programming Language :: Python",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
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        "description": "# openPMD-viewer\n\n[![Build Status master](https://img.shields.io/travis/openPMD/openPMD-viewer/master.svg?label=master)](https://travis-ci.org/openPMD/openPMD-viewer/branches)\n[![Build Status dev](https://img.shields.io/travis/openPMD/openPMD-viewer/dev.svg?label=dev)](https://travis-ci.org/openPMD/openPMD-viewer/branches)\n[![pypi version](https://img.shields.io/pypi/v/openPMD-viewer.svg)](https://pypi.python.org/pypi/openPMD-viewer)\n[![Binder](https://mybinder.org/badge.svg)](https://mybinder.org/v2/gh/openPMD/openPMD-viewer/master?filepath=tutorials%2F)\n[![License](https://img.shields.io/pypi/l/openPMD-viewer.svg)](LICENSE.txt)\n\n## Overview\n\nThis package contains a set of tools to load and visualize the\ncontents of a set of [openPMD](http://www.openpmd.org/#/start) files\n(typically, a timeseries).\n\nThe routines of `openPMD-viewer` can be used in two ways :\n\n- Use the **Python API**, in order to write a script that loads the\n  data and produces a set of pre-defined plots.\n\n- Use the **interactive GUI inside the Jupyter Notebook**, in order to interactively\nvisualize the data.\n\n## Usage\n\n### Tutorials\n\nThe notebooks in the folder `tutorials/` demonstrate how to use both\nthe API and the interactive GUI. You can view these notebooks online\n[here](https://github.com/openPMD/openPMD-viewer/tree/master/tutorials).\n\nAlternatively, you can even\n[*run* our tutorials online](https://mybinder.org/v2/gh/openPMD/openPMD-viewer/master?filepath=tutorials%2F)!\n\nYou can also download and run these notebooks on your local computer\n(when viewing the notebooks with the above link, click on `Raw` to be able to\nsave them to your local computer). In order to run the notebook on\nyour local computer, please install `openPMD-viewer` first (see\nbelow), as well as `wget` (`pip install wget`).\n\n### Notebook quick-starter\n\nIf you wish to use the **interactive GUI**, the installation of\n`openPMD-viewer` provides a convenient executable which automatically\n**creates a new pre-filled notebook** and **opens it in a\nbrowser**. To use this executable, simply type in a regular terminal:\n\n`openPMD_notebook`\n\n(This executable is installed by default, when installing `openPMD-viewer`.)\n\n## Installation\n\n### Installation on a local computer\n\n#### Installation with conda (recommended)\n\nIn order to install `openPMD-viewer` with `conda`, please install the [Anaconda\ndistribution](https://docs.anaconda.com/anaconda/install/), and then type\n```\nconda install -c rlehe openpmd_viewer\n```\nIf you are using JupyterLab, please also install the `jupyter-matplotlib`\nextension (See installation instructions\n[here](https://github.com/matplotlib/jupyter-matplotlib)).\n\n#### Installation with pip\n\nIf you cannot install `openPMD-viewer` with `conda`, the alternative\nis to use `pip`. However, you need to first make sure that `h5py` is\ninstalled on your local computer. This can be done for instance by\ntyping `pip install h5py`, though this may require you to install `hdf5` separately.\n\nOnce `h5py` is installed, simply type\n```\npip install openPMD-viewer\n```\nIn addition, if you wish to use the interactive GUI, please type\n```\npip install jupyter\n```\n\n### Installation on a remote scientific cluster\n\nIf you wish to install the `openPMD-viewer` on a remote scientific\ncluster, please make sure that the packages `numpy`, `scipy` and `h5py`\nare available in your environment. This is typically done by a set of\n`module load` commands (e.g. `module load h5py`) -- please refer to\nthe documentation of your scientific cluster.\n\nThen type\n```\npip install openPMD-viewer --user\n```\n\nNote: The package `jupyter` is only required for the **interactive\nGUI** and thus it does not need to be installed if you are only using\nthe **Python API**.  For [NERSC](http://www.nersc.gov/) users, access to Jupyter\nnotebooks is provided when logging to\n[https://ipython.nersc.gov](https://ipython.nersc.gov).\n\n## Contributing to the openPMD-viewer\n\nWe welcome contributions to the code! Please read [this page](https://github.com/openPMD/openPMD-viewer/blob/master/CONTRIBUTING.md) for\nguidelines on how to contribute.\n\n\n",
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