The Orbitronomy library is designed to simplify the process of plotting, calculating, visualizing, and animating the orbits of celestial bodies in 3D space. It employs Kepler's elliptical orbit equations and Keplerian Elements, in conjunction with PyAstronomy, to perform precise orbital calculations. For 3D plotting, it integrates the capabilities of Matplotlib, enhancing its utility in astronomical simulations and analyses.
Project description
Official Orbitronomy Library
The Orbitronomy library is designed to simplify the process of plotting, calculating, visualizing, and animating the orbits of celestial bodies in 3D space. It employs Kepler's elliptical orbit equations and Keplerian Elements, in conjunction with PyAstronomy, to perform precise orbital calculations. For 3D plotting, it integrates the capabilities of Matplotlib, enhancing its utility in astronomical simulations and analyses.
Official Documentation
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file orbitronomy-0.3.3.tar.gz.
File metadata
- Download URL: orbitronomy-0.3.3.tar.gz
- Upload date:
- Size: 12.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
7f39313d9b356a12c1039bcde3d7f4bcd2a9bd57f15abe33cdfed6045724487b
|
|
| MD5 |
c5ea00bd7271650b738f4676341deb75
|
|
| BLAKE2b-256 |
1f90640bb5dabdf08ff615a98c9ad40e361c9d44a08db7f3d78062612a20f154
|
File details
Details for the file orbitronomy-0.3.3-py3-none-any.whl.
File metadata
- Download URL: orbitronomy-0.3.3-py3-none-any.whl
- Upload date:
- Size: 15.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
0f02d0f9993b836fe976f1938a34133c26f10800d9e90b94600b06c5b8631a2a
|
|
| MD5 |
5b686b2c015130defad26a3e44704b84
|
|
| BLAKE2b-256 |
f2b1c9f995d63b9ec00e227c85d26f7ef4f559aa201bbaf80f99b727ffd584e1
|