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        "author": "the LiberTEM team",
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            "Intended Audience :: End Users/Desktop",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: GNU General Public License v3 (GPLv3)",
            "License :: OSI Approved :: MIT License",
            "Natural Language :: English",
            "Operating System :: MacOS :: MacOS X",
            "Operating System :: Microsoft :: Windows",
            "Operating System :: POSIX :: Linux",
            "Programming Language :: JavaScript",
            "Programming Language :: Python :: 3.6",
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        "description": "|gitter|_ |travis|_ |appveyor|_ |zenodo|_\n\n.. |gitter| image:: https://badges.gitter.im/Join%20Chat.svg\n.. _gitter: https://gitter.im/LiberTEM/Lobby\n\n.. |travis| image:: https://api.travis-ci.org/LiberTEM/LiberTEM.svg?branch=master\n.. _travis: https://travis-ci.org/LiberTEM/LiberTEM\n\n.. |appveyor| image:: https://ci.appveyor.com/api/projects/status/wokeo6ee2frq481m/branch/master?svg=true\n.. _appveyor: https://ci.appveyor.com/project/sk1p/libertem\n\n.. |zenodo| image:: https://zenodo.org/badge/DOI/10.5281/zenodo.1478763.svg\n.. _zenodo: https://doi.org/10.5281/zenodo.1478763\n\n\n\nLiberTEM is an open source platform for high-throughput distributed processing of large-scale binary data sets using a simplified `MapReduce programming model <https://en.wikipedia.org/wiki/MapReduce>`_. The current focus is `pixelated <https://en.wikipedia.org/wiki/Scanning_transmission_electron_microscopy#Universal_detectors>`_ scanning transmission electron microscopy (`STEM <https://en.wikipedia.org/wiki/Scanning_transmission_electron_microscopy>`_)  and scanning electron beam diffraction data.\n\nIt is `designed for high throughput and scalability <https://libertem.github.io/LiberTEM/architecture.html>`_ on PCs, single server nodes, clusters and cloud services. On clusters it can use fast distributed\nlocal storage on high-performance SSDs. That way it achieves `very high aggregate IO performance <https://libertem.github.io/LiberTEM/performance.html>`_ on a compact and cost-efficient system built from stock components.\n\nLiberTEM is supported on Linux, Mac OS X and Windows. Other platforms\nthat allow installation of Python 3 and the required packages will likely work as well. The GUI is running\nin a web browser.\n\nInstallation\n------------\n\nThe short version:\n\n.. code-block:: shell\n\n    $ virtualenv -p python3.6 ~/libertem-venv/\n    $ source ~/libertem-venv/bin/activate\n    (libertem) $ pip install libertem[torch]\n\nPlease see `our documentation <https://libertem.github.io/LiberTEM/install.html>`_ for details!\n\nDeployment as a single-node system for a local user is thoroughly tested and can be considered stable. Deployment on a cluster is \nexperimental and still requires some additional work, see `Issue #105 <https://github.com/LiberTEM/LiberTEM/issues/105>`_.\n\nApplications\n------------\n\n- Virtual detectors (virtual bright field, virtual HAADF, center of mass ,\n  custom shapes via masks)\n- `Analysis of amorphous materials <https://libertem.github.io/LiberTEM/app/amorphous.html>`_\n- `Strain mapping <https://libertem.github.io/LiberTEM/app/strain.html>`_\n- `Custom analysis functions (user-defined functions) <https://libertem.github.io/LiberTEM/udf.html>`_\n\nPlease see `the applications section <https://libertem.github.io/LiberTEM/applications.html>`_ of our documentation for details!\n\nThe Python API and user-defined functions (UDFs) can be used for more complex operations with arbitrary masks and other features like data export. There are example Jupyter notebooks available in the `examples directory <https://github.com/LiberTEM/LiberTEM/tree/master/examples>`_.\nIf you are having trouble running the examples, please let us know, either by filing an issue\nor by `joining our Gitter chat <https://gitter.im/LiberTEM/Lobby>`_.\n\nLiberTEM is suitable as a high-performance processing backend for other applications, including live data streams. `Contact us <https://gitter.im/LiberTEM/Lobby>`_ if you are interested! \n\n\nLiberTEM is evolving rapidly and prioritizes features following user demand and contributions. In the future we'd like to implement live acquisition, and more analysis methods for all applications of pixelated STEM and other large-scale detector data.\nIf you like to influence the direction this\nproject is taking, or if you'd like to `contribute <https://libertem.github.io/LiberTEM/contributing.html>`_, please join our `gitter chat <https://gitter.im/LiberTEM/Lobby>`_\nand our `general mailing list <https://groups.google.com/forum/#!forum/libertem>`_. \n\nFile formats\n------------\n\nLiberTEM currently opens most file formats used for pixelated STEM. See `our general information on loading data <https://libertem.github.io/LiberTEM/formats.html>`_\nand `format-specific documentation <https://libertem.github.io/LiberTEM/reference/dataset.html#formats>`_ for more information!\n\n- Raw binary files\n- Thermo Fisher EMPAD detector  files\n- `Quantum Detectors MIB format <http://quantumdetectors.com/wp-content/uploads/2017/01/1532-Merlin-for-EM-Technical-Datasheet-v2.pdf>`_\n- Nanomegas .blo block files\n- `Gatan K2 IS <https://web.archive.org/web/20180809021832/http://www.gatan.com/products/tem-imaging-spectroscopy/k2-camera>`_ raw format\n- Gatan DM3 and DM4: See `Issue #291 <https://github.com/LiberTEM/LiberTEM/issues/291>`_ Please contact us if you would like to process such data!\n- FRMS6 from PNDetector pnCCD cameras  (currently alpha, gain correction still needs UI changes)\n- FEI SER files (via `openNCEM <https://github.com/ercius/openNCEM>`_)\n- HDF5-based formats such as Hyperspy files, NeXus and EMD\n- Please contact us if you are interested in support for an additional format!\n\nLicense\n-------\n\nLiberTEM is licensed under GPLv3. The I/O parts are also available under the MIT license, please see LICENSE files in the subdirectories for details.\n\n\n",
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