dial-a-moon-wrapper

Images of the Moon as seen from a given place and time on Earth, built on NASA's Dial-A-Moon renderings.

• Oriented for the observer: NASA's frames are rotated so the zenith is up (or celestial north).
• Beyond NASA's years: dates NASA hasn't rendered use the NASA frame with the closest lunar geometry. Each new year's data is picked up automatically once NASA publishes it (usually November).
• Square output, disk centered: black background at 730 px (JPEG), or transparent at high resolution (PNG), matching NASA's frames.

2026-12-14, 9 PM local	NASA frame (north up)	As seen by the observer
Raleigh, NC
Sydney, Australia

Install

pip install dial-a-moon-wrapper

Requires Python 3.11+.

Command line

dial-a-moon "Raleigh, NC" --datetime "2026-10-04 21:30"
dial-a-moon --latitude 35.78 --longitude -78.64 --resolution 5760 -o moon.png

Give a place name or --latitude/--longitude; everything else is optional.

Library

from dial_a_moon_wrapper import render_moon

result = render_moon("2026-10-04 21:30", place="Raleigh, NC")
result.image     # path to the image
result.status    # "official" (NASA frame for that hour) or "estimated"
result.to_dict() # full details

Keyword arguments match the CLI options.

Notes

• The first run downloads NASA's metadata (~30 MB) and JPL's DE421 ephemeris (~17 MB). Images are cached as they're used and deleted after 14 days unused.
• Place names are looked up once via OpenStreetMap and cached.
• NASA's frames are geocentric and hourly (no minute-by-minute eclipse frames).

Development

pytest                 # offline tests
pytest --run-network   # plus live NASA checks

License and credits

Code: MIT (LICENSE).

• Imagery and metadata: NASA Scientific Visualization Studio, Moon Phase and Libration (Ernie Wright, Noah Petro, James Tralie).
• Lunar surface data: NASA/Lunar Reconnaissance Orbiter (LROC WAC mosaic, NASA/GSFC/Arizona State University; LOLA, NASA/GSFC).
• Ephemeris: JPL DE421, NASA/JPL (Folkner et al. 2009), via Skyfield.
• Geocoding: © OpenStreetMap contributors (ODbL), via Nominatim.

NASA imagery is generally not subject to U.S. copyright; see NASA's media guidelines.