- Name
RicciPy
- Website
- Version
0.1.dev0
RicciPy is an open source package that exists as part of The EinsteinPy Project for the purpose of providing a API that makes tensor algebra as easy as possible on arbitrary manifolds. RicciPy implements the use of Sympy for representing tensor equations and expressions symbolically with automatic applications of a metric when contracting indices. Lastly, the Library also provides a means for converting the results of tensor equations to numpy-like functions for use in numerical calculations. It is released under the MIT license.
Complete documentation, including a user guide and an API reference, can be read on the wonderful Read the Docs.
https://doc.riccipy.einsteinpy.org/
RicciPy requires the following Python packages:
- NumPy, for basic numerical routines
- SymPy, for symbolic calculations related to GR.
If the installation fails or you find something that doesn't work as expected, please open an issue in the issue tracker.
RicciPy is a community project, hence all contributions are more than welcome! For more information, head to CONTRIBUTING.rst.
Developers Documentation can be found here.
Release announcements and general discussion take place on our mailing list. Feel free to join!
https://groups.io/g/einsteinpy-dev
Please join our [matrix] channel or gitter chat room for further queries.
If you still have a doubt, write a mail directly to developers@einsteinpy.org.
If you use EinsteinPy on your project, please drop us 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:
Shreyas Bapat et al.. (2019). EinsteinPy: riccipy 0.1.0. Zenodo. 10.5281/zenodo.2582388RicciPy is released under the MIT license, hence allowing commercial use of the library. Please refer to COPYING.