poliastro 0.12.0

Python package for Orbital Mechanics

Name:

poliastro

Website:

https://poliastro.github.io/

Author:

Juan Luis Cano Rodríguez

Version:

0.12.0

poliastro is an open source pure Python package dedicated to problems arising in Astrodynamics and Orbital Mechanics, such as orbit propagation, solution of the Lambert’s problem, conversion between position and velocity vectors and classical orbital elements and orbit plotting, focusing on interplanetary applications. It is released under the MIT license.

from poliastro.examples import molniya
from poliastro.plotting import plot

plot(molniya)

Documentation

Complete documentation, including a user guide and an API reference, can be read on the wonderful Read the Docs.

https://docs.poliastro.space/

Examples

In the examples directory you can find several Jupyter notebooks with specific applications of poliastro. You can launch a cloud Jupyter server using binder to edit the notebooks without installing anything. Try it out!

https://beta.mybinder.org/v2/gh/poliastro/poliastro/0.12.x?filepath=index.ipynb

Requirements

poliastro requires the following Python packages:

• NumPy, for basic numerical routines

• Astropy, for physical units and time handling

• numba (optional), for accelerating the code

• jplephem, for the planetary ephemerides using SPICE kernels

• matplotlib, for orbit plotting

• plotly, for 2D and 3D interactive orbit plotting

• SciPy, for root finding and numerical propagation

poliastro is usually tested on Linux, Windows and OS X on Python 3.5, 3.6 and 3.7 against latest NumPy.

Platform	Site	Status
Linux	CircleCI
OS X	Travis CI
Windows x64	Appveyor

Installation

The easiest and fastest way to get the package up and running is to install poliastro using conda:

$ conda install poliastro --channel conda-forge

Please check out the documentation for alternative installation methods.

Testing

If installed correctly, the tests can be run using pytest:

$ python -c "import poliastro.testing; poliastro.testing.test()"
===================================== test session starts =====================================
platform linux -- Python 3.7.1, pytest-4.2.0, py-1.7.0, pluggy-0.8.1
rootdir: /home/juanlu/.miniconda36/envs/_test37/lib/python3.7/site-packages/poliastro, inifile:
collected 747 items
[...]
========= 738 passed, 3 skipped, 5 xfailed, 1 xpassed, 13 warnings in 392.12 seconds ==========
$

Problems

If the installation fails or you find something that doesn’t work as expected, please open an issue in the issue tracker.

Contributing

poliastro is a community project, hence all contributions are more than welcome! For more information, head to CONTRIBUTING.rst.

Support

Release announcements and general discussion take place on our mailing list. Feel free to join!

https://groups.io/g/poliastro-dev

Citing

If you use poliastro on your project, please drop me a line.

You can also use the DOI to cite it in your publications. This is the latest one:

And this is an example citation format:

Juan Luis Cano Rodríguez et al.. (2015). poliastro: poliastro 0.4.0. Zenodo. 10.5281/zenodo.17462

License

poliastro is released under the MIT license, hence allowing commercial use of the library. Please refer to the COPYING file.

FAQ

What’s up with the name?

poliastro comes from Polimi, which is the shortened name of the Politecnico di Milano, the Italian university where I was studying while writing this software. It’s my tiny tribute to a place I came to love. Grazie mille!

Can I do <insert awesome thing> with poliastro?

poliastro is focused on interplanetary applications. This has two consequences:

• It tries to be more general than other Flight Dynamics core libraries more focused on Earth satellites (see Related software for a brief list), allowing the algorithms to work also for orbits around non-Earth bodies.

• It leaves out certain features that would be too Earth-specific, such as TLE reading, SGP4 propagation, groundtrack plotting and others.

What’s the future of the project?

poliastro is actively maintained and receiving an influx of new contributors thanks to the generous sponsorship of Google and the European Space Agency. The best way to get an idea of the roadmap is to see the Milestones of the project.