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Status](https://img.shields.io/circleci/build/github/egemenimre/satmad/master?logo=circleci\u0026label=CircleCI)](https://circleci.com/gh/egemenimre/satmad)\n[![Codecov Status](https://codecov.io/gh/egemenimre/satmad/branch/master/graph/badge.svg)](https://codecov.io/gh/egemenimre/satmad)\n[![Documentation Status](https://readthedocs.org/projects/satmad/badge/?version=latest)](https://satmad.readthedocs.io/en/latest/?badge=latest)\n[![Astropy Badge](http://img.shields.io/badge/powered%20by-AstroPy-orange.svg?style=flat-square)](http://www.astropy.org/)\n\n********** This project is suspended. Please check [satkit](https://github.com/egemenimre/satkit) project instead **********\n\nSatMAD is an open source Python package, aiming at providing the base functionality to solve satellite mission analysis and design as well as orbital mechanics problems with enough precision and performance to be used in the design and operation of real satellites. The target audience is academics and amateur satellite community, including Cubesats (and anyone else who might be interested).\n\nThe focus is on good documentation and good test coverage to produce a reliable flight dynamics library.\n\nCurrent functionality is:\n\n-   Loading a list of TLEs from file\n-   Initialising an orbit with a TLE or Keplerian Orbital Elements\n-   Propagating the orbit analytically via the SGP4 propagator\n-   Propagating an orbit numerically via the Scipy ODE Solvers (two-body force model) around the Earth or another planet\n-   Occultations, shadow geometry and illuminations finding\n-   Good infrastructure for time interval management and event finding\n-   Harnessing the extensive [Astropy](http://www.astropy.org) functionalities\n    (e.g. finding azimuth and elevation over a ground location and coordinate frame\n    transformations)\n\n## Documentation and Examples\n\nThe documentation for SatMAD is here: \u003chttps://satmad.readthedocs.io/\u003e\n\nAs a quick-start, you can find some hands-on Jupyter examples in the [tutorials directory](https://github.com/egemenimre/satmad/tree/master/docs/tutorials) (or in the [documentation](https://satmad.readthedocs.io/en/latest/tutorials.html) for a text version).\n\nIn addition, there is a repository of how-to guides and analyses in a dedicated project called SatMAD Applications,\n[available at Github](https://github.com/egemenimre/satmad_applications) (for Jupyter notebooks) and [in plain document format](https://satmad-applications.readthedocs.io/).\n\n\n## Installing SatMAD\n\nThe SatMAD package is on [PyPI](https://pypi.org/project/satmad/) and you can install it simply by running:\n\n    pip install satmad\n\nYou can also install it via [conda-forge](https://github.com/conda-forge/satmad-feedstock):\n\n    conda install -c conda-forge satmad\n\nDo not install `satmad` using `sudo`.\n\nYou can find the source code on GitHub: \u003chttps://github.com/egemenimre/satmad\u003e\n\n\n## Requirements\n\n-   NumPy and SciPy are used for the underlying mathematical algorithms\n-   Matplotlib is used for plots\n-   Astropy handles all time and reference frame computations\n-   [PyERFA](https://github.com/liberfa/pyerfa) handles lower level coordinate and time transformations\n-   [Portion](https://github.com/AlexandreDecan/portion) handles the time interval mechanics\n-   [Sgp4](https://pypi.org/project/sgp4) provides the TLE manipulation and SGP4 propagation engine\n-   [Jplephem](https://github.com/brandon-rhodes/python-jplephem/) for JPL Ephemeris calculations\n-   Pytest provides the testing framework\n\n\n## License\n\nThis project is Copyright (c) Egemen Imre and licensed under the terms of the GNU GPL v3+ license.\n\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fegemenimre%2Fsatmad","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fegemenimre%2Fsatmad","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fegemenimre%2Fsatmad/lists"}