HelioSPICE
Spacecraft ephemeris made easy β auto-managed SPICE kernels for heliophysics
Ask AI about HelioSPICE
Powered by Claude Β· Grounded in docs
I know everything about HelioSPICE. Ask me about installation, configuration, usage, or troubleshooting.
0/500
Reviews
Documentation
heliospice
Spacecraft ephemeris made easy β auto-managed SPICE kernels for heliophysics missions.
heliospice wraps SpiceyPy with automatic kernel download, caching, and loading. Ask for a spacecraft position and heliospice handles the rest: downloading the right NAIF kernels, loading them in the correct order, and returning results as Python dicts or pandas DataFrames.
Installation
pip install heliospice
For MCP server support (Claude Desktop, Claude Code, Cursor, etc.):
pip install heliospice[mcp]
Quick Start
from heliospice import get_position, get_trajectory
# Where is Parker Solar Probe right now?
pos = get_position("PSP", observer="SUN", time="2024-01-15", frame="ECLIPJ2000")
print(f"PSP is {pos['r_au']:.3f} AU from the Sun")
# Get a month of trajectory data as a DataFrame
df = get_trajectory(
"PSP", observer="SUN",
time_start="2024-01-01", time_end="2024-01-31",
step="1h", frame="ECLIPJ2000",
)
print(df[["r_au"]].describe())
Kernels are automatically downloaded from NAIF on first use and cached in ~/.heliospice/kernels/.
Supported Missions
With SPICE Kernels (auto-downloaded)
- PSP (Parker Solar Probe) β 2018-2030
- Solar Orbiter (SOLO) β 2020-2030
- STEREO-A β 2017-2031
- Juno β 2011-present (updated regularly)
- Voyager 1/2 β 1981-2100 / 1989-2100
- New Horizons β 2019-2030
NAIF IDs Only (no auto-download yet)
- ACE, Wind, DSCOVR, MMS (1-4) β no public SPK kernels exist
- Cassini, MAVEN β require multi-segment kernel loading (planned)
- Galileo, Pioneer 10/11, Ulysses, MESSENGER, STEREO-B
Natural Bodies
Sun, Earth, Moon, Mercury, Venus, Mars, Jupiter, Saturn, Uranus, Neptune, Pluto
API Reference
Position & Trajectory
from heliospice import get_position, get_trajectory, get_state
# Single position
pos = get_position("ACE", observer="EARTH", time="2024-06-01", frame="GSE")
# Full state (position + velocity)
state = get_state("PSP", observer="SUN", time="2024-01-15", frame="ECLIPJ2000")
# Trajectory timeseries (returns pandas DataFrame)
df = get_trajectory(
"Cassini", observer="SATURN",
time_start="2010-01-01", time_end="2010-12-31",
step="6h", frame="ECLIPJ2000",
include_velocity=True,
)
Coordinate Transforms
from heliospice import transform_vector, list_available_frames
# J2000 to Ecliptic
v_ecl = transform_vector([1.0, 0.0, 0.0], "2024-01-15", "J2000", "ECLIPJ2000")
# RTN transform (requires spacecraft)
v_rtn = transform_vector(
[5.0, -3.0, 1.0], "2024-01-15",
from_frame="ECLIPJ2000", to_frame="RTN",
spacecraft="PSP",
)
# List all frames
print(list_available_frames())
Mission Registry
from heliospice import resolve_mission, list_supported_missions
# Resolve name aliases
naif_id, key = resolve_mission("Parker Solar Probe") # -> (-96, "PSP")
# List all spacecraft
missions = list_supported_missions()
Kernel Management
from heliospice import get_kernel_manager
km = get_kernel_manager()
km.ensure_mission_kernels("PSP") # Download + load
print(km.get_cache_info()) # Cache stats
km.unload_all() # Free memory
Configuration
| Method | Description |
|---|---|
HELIOSPICE_KERNEL_DIR env var | Override kernel cache directory |
KernelManager(kernel_dir=...) | Per-instance override |
| Default | ~/.heliospice/kernels/ |
MCP Server
heliospice includes an MCP server for LLM tool use:
# Run directly
heliospice-mcp
# Or via Python
python -m heliospice.server
Claude Desktop Configuration
Add to claude_desktop_config.json:
{
"mcpServers": {
"heliospice": {
"command": "heliospice-mcp"
}
}
}
Available MCP Tools
| Tool | Description |
|---|---|
get_spacecraft_ephemeris | Position/velocity β single time or timeseries |
compute_distance | Distance between two bodies |
transform_coordinates | Coordinate frame transform |
list_spice_missions | Supported missions |
list_coordinate_frames | Available frames with descriptions |
manage_kernels | Kernel cache management |
License
MIT
