Skip to content
main
Switch branches/tags
Code

Latest commit

Remove unnecessary quantity conversion in bodies, add test

Co-authored-by: Juan Luis Cano Rodríguez <hello@juanlu.space>
be1d4b6

Git stats

Files

Permalink
Failed to load latest commit information.
Type
Name
Latest commit message
Commit time
Dec 26, 2018

poliastro logo

Name: poliastro
Website: https://www.poliastro.space/
Author: Juan Luis Cano Rodríguez orcid
Version: 0.16.dev0

azure_pipelines codecov codeclimate

docs license doi astropy mailing Join the chat at http://chat.poliastro.space/

OpenCollective OpenCollective

poliastro is an open source (MIT) pure Python library for interactive Astrodynamics and Orbital Mechanics, with a focus on ease of use, speed, and quick visualization. It provides a simple and intuitive API, and handles physical quantities with units.

Some features include orbit propagation, solution of the Lambert's problem, conversion between position and velocity vectors and classical orbital elements and orbit plotting, among others. It focuses on interplanetary applications, but can also be used to analyze artificial satellites in Low-Earth Orbit (LEO).

from poliastro.examples import molniya

molniya.plot()

Documentation

docs

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

https://docs.poliastro.space/

Examples

mybinder

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/main?filepath=index.ipynb

Requirements

poliastro requires the following Python packages:

  • NumPy, for basic numerical routines
  • Astropy, for physical units and time handling
  • numba, 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 tested on Linux, OS X and Windows on Python 3.7 and 3.8 against latest NumPy.

azure_pipelines

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.

Problems and suggestions

If for any reason you get an unexpected error message or an incorrect result, or you want to let the developers know about your use case, please open a new issue in the issue tracker and we will try to answer promptly.

Contributing

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

Support

mailing Join the chat at http://chat.poliastro.space/

Release announcements and general discussion take place on our Mailing List .

For further clarifications and discussions, feel free to join Poliastro Chat Room.

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:

doi

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

license

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

Credits

Contributors

This project exists thanks to all the people who contribute!

Contributors

Backers

Thank you to all our backers! Become a backer.

Backers

Sponsors

Support us by becoming a sponsor. Your logo will show up here with a link to your website. Become a sponsor.

Sponsors

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 has been historically focused on interplanetary applications, but we have been adding more features for artificial satellites in LEO. Therefore, you might find that some features are currently lacking, in particular propagation of General Perturbations orbital data such as TLE/3LE, OMM, and the like.

Besides, poliastro is a community project that strives to be easy to use, while at the same time producing correct results that are validated against other commonly used Astrodynamics software such as GMAT and Orekit. Therefore, you might find that its API is very different from these projects, and also that some advanced features are missing (such as detailed spherical harmonics modeling of the Earth beyond J2 and J3). We encourage you to open an issue so we can discuss future feature additions!

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.