Tracktable is a set of Python and C++ libraries for the processing, analysis, and rendering of trajectory data. We define a trajectory as "a sequence of points with timestamps and a unique identifier".
Tracktable's main interface is a set of Python modules. Underneath that, we implement the core data structures and algorithms in C++ for speed and more efficient memory use. While you are welcome to work entirely in C++ if you prefer, we find it easier to use Tracktable in Python scripts and Jupyter notebooks.
For more information, please visit us at the Tracktable home page.
Our main Git repository is at https://github.com/sandialabs/tracktable.git. We also upload Python wheels to PyPI so you can 'pip install tracktable' on most recent distributions.
If you choose to build from source, installation instructions are in the Git repository as part of the documentation.
Our development systems typically have the Anaconda Python distribution installed. However, there is nothing Anaconda-specific in our requirements or dependencies. We rely on Cartopy for rendering maps in Python as well as Pyshp for shapefile read/write support.
Our documentation is hosted at https://tracktable.readthedocs.org.
We distribute Tracktable under a 3-clause BSD license whose text is
included in the source distribution as well as on
our web site.
Copyright (c) 2014-2020 National Technology and Engineering Solutions of Sandia, LLC. Under the terms of Contract DE-NA0003525 with National Technology and Engineering Solutions of Sandia, LLC, the U.S. Government retains certain rights in this software.
Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
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Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
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Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
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