Metadata-Version: 2.1
Name: libertem
Version: 0.1.0rc2
Summary: Open pixelated STEM framework
Home-page: https://libertem.github.io/LiberTEM/
Author: the LiberTEM team
Author-email: libertem-dev@googlegroups.com
License: GPL v3
Description: |gitter|_ |travis|_ |appveyor|_
        
        .. |gitter| image:: https://badges.gitter.im/Join%20Chat.svg
        .. _gitter: https://gitter.im/LiberTEM/Lobby
        
        .. |travis| image:: https://api.travis-ci.org/LiberTEM/LiberTEM.svg?branch=master
        .. _travis: https://travis-ci.org/LiberTEM/LiberTEM
        
        .. |appveyor| image:: https://ci.appveyor.com/api/projects/status/wokeo6ee2frq481m?svg=true
        .. _appveyor: https://ci.appveyor.com/project/sk1p/libertem
        
        
        
        LiberTEM is an open source platform for high-throughput distributed processing of `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>`_) data.
        
        It is designed for high throughput and scalability on PCs, single server nodes, clusters and cloud services. On clusters it can use the Hadoop file system with fast distributed
        local storage on high-performance SSDs. That way it achieves very high collective IO performance on a compact and cost-efficient system built from stock components.
        With cached file system reads it can reach a throughput of up to 14 GB/s per processing node with a quad-core CPU.
        
        LiberTEM is supported on Linux, Mac OS X and Windows. Other platforms
        that allow installation of Python 3 and the required packages will likely work as well. The GUI is running
        in a web browser.
        
        LiberTEM currently opens most file formats used for pixelated STEM:
        
        - Raw binary files, for example for the Thermo Fisher EMPAD detector
        - Quantum Detectors MIB format (currently alpha, more testing and sample files highly appreciated)
        - Nanomegas .blo block files
        - Gatan K2IS raw format (currently beta)
        - HDF5-based formats such as Hyperspy files, NeXus and EMD
        - Please contact us if you are interested in support for an additional format!
        
        The 0.1 release implements anything that can be done by applying masks to each detector frame,
        for example the numerous virtual detector methods (virtual bright field, virtual HAADF, ...) or center of mass. 
        
        The GUI of the 0.1 release allows interactive analysis and data exploration with basic virtual
        detectors, center of mass and display of individual detector frames.
        
        The Python API 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/blob/master/examples>`_.
        If you are having trouble running the examples, please let us know, either by filing an issue
        or by `joining our Gitter chat <https://gitter.im/LiberTEM/Lobby>`_.
        
        LiberTEM 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! 
        
        Deployment as a single-node system for a local user is thoroughly tested and can be considered stable in the 0.1 release. Deployment on a cluster is 
        experimental and still requires some additional work, see `Issue #105 <https://github.com/LiberTEM/LiberTEM/issues/105>`_.
        
        LiberTEM 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.
        If you like to influence the direction this
        project is taking, or if you'd like to contribute, please join our `gitter chat <https://gitter.im/LiberTEM/Lobby>`_,
        our `development mailing list <https://groups.google.com/forum/#!forum/libertem-dev>`_,
        and our `general mailing list <https://groups.google.com/forum/#!forum/libertem>`_. 
        
Keywords: electron microscopy
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: POSIX :: Linux
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Classifier: Environment :: Web Environment
Classifier: Environment :: Console
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: End Users/Desktop
Classifier: Intended Audience :: Developers
Classifier: Natural Language :: English
Classifier: Programming Language :: JavaScript
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Physics
Classifier: Topic :: Scientific/Engineering :: Visualization
Requires-Python: >=3.6
Description-Content-Type: text/x-rst
Provides-Extra: torch
Provides-Extra: hdfs
