Simplifies spacecraft ephemeris data retrieval and management by automatically handling SPICE kernels.
Sponsored
Heliospice provides an easy-to-use Python interface for accessing spacecraft ephemeris data for heliophysics missions. It wraps SpiceyPy, automating the complex process of downloading, caching, and loading the correct NAIF SPICE kernels. Users can effortlessly query spacecraft positions, velocities, and trajectories, receiving results as Python dictionaries or pandas DataFrames. With built-in support for coordinate transformations and a growing list of missions, it streamlines scientific data analysis and application development in space science.
Key Features
01Support for various coordinate transformations (e.g., J2000, ECLIPJ2000, RTN).
02Results provided in user-friendly Python dictionaries or pandas DataFrames.
03Easy retrieval of spacecraft position, velocity, and trajectory data.
04Automatic SPICE kernel download, caching, and loading from NAIF.
050 GitHub stars
06Integrated MCP server for seamless interaction with Large Language Models.
Use Cases
01Querying the current or historical positions of heliophysics missions like Parker Solar Probe.
02Transforming vector data between different astronomical coordinate frames for scientific computations.
03Generating detailed spacecraft trajectories over specified time ranges for analysis or visualization.
