aetherfield 0.5.1

AetherField runtime ephemeris

AetherField

AetherField is a lightweight, modular system for computing astrological positions, signs, and alignments across multiple time representations. This is meant to replace the frozen or outdated zodiac libraries, with a dynamic stellar gazing tool.

It is designed to sit cleanly on top of my own temporal layer moontime while remaining flexible enough to integrate with external systems such as Skyfield.

At its core, AetherField answers a simple question:

Given a moment in time, where are the celestial bodies?

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✨ Features

• 🌌 Compute zodiac signs for planetary bodies

• 🔭 Support for multiple time inputs:

  • datetime
  • MoonTime
  • Skyfield Time

• 🧭 Longitude calculations (tropical + draconic)

• 🧬 Calibration system:

  • No calibration (pure baseline)
  • Local calibration (user-defined)
  • Hosted calibration (auto-fetched)

• 🖥️ CLI interface with automatic calibration

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📦 Installation

pip install aetherfield

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🚀 Quick Example

from aetherfield import AetherField

def example():
    from skyfield.api import load
    from datetime import datetime, timezone
    from moontime import MoonTime

    
    # Three different instances with different calibrations:

    a = AetherField()  # No calibration
    b = AetherField.load_calibration("my_calibration.json")  # Local calibration
    c = AetherField.load_calibration('AetherField')  # Hosted calibration

    # Works with dt
    dt = datetime.now(timezone.utc)

    print("No calibration:", a.sign(dt=dt, body="sun"))  # No calibration
    print("Local calibration:", b.sign(dt=dt, body="sun")) # Local calibration
    print("Hosted calibration:", c.sign(dt=dt, body="sun")) # Hosted calibration

    print("Full suite:", c.alignments(dt=dt))
    
    # Works with skyfield time
    ts = load.timescale()
    sf = ts.from_datetime(dt)

    print("From skyfield time:", c.sign(dt=sf, body="sun"))

    # Works with moontime
    mt = MoonTime.from_datetime(dt)

    print("From moontime:", c.sign(dt=mt, body="sun"))

    print("Longitude:", c.longitude(dt=mt, body="sun"))
    print("Draconic:", c.longitude(dt=mt, body="ascending_node"))

if __name__ == "__main__":
    example()

Example Output

No calibration: Gemini
Local calibration: Aries
Hosted calibration: Aries

Full suite: {
  'sun': 'Aries',
  'moon': 'Gemini',
  'mercury': 'Pisces',
  'venus': 'Aries',
  'mars': 'Pisces',
  'jupiter': 'Gemini',
  'saturn': 'Pisces',
  'uranus': 'Aries',
  'neptune': 'Pisces',
  'pluto': 'Capricorn',
  'ascending_node': 'Aquarius',
  'descending_node': 'Leo'
}

From skyfield time: Aries
From moontime: Aries

Longitude: 30.42190333085091
Draconic: 336.2217926416203

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🧭 Core Concepts

AetherField Instance

af = AetherField()

Creates a baseline field with no calibration applied.

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Calibration

Calibration adjusts how positions are interpreted.

af = af.load_calibration("AetherField")

• Hosted: Pulled from my server

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Sign Lookup

af.sign(dt, "neptune")

Returns the zodiac sign for a given celestial body.

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Full Alignment

af.alignments(dt)

Returns all tracked bodies in a single call.

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Longitude

af.longitude(dt, "mars")

Returns the raw longitude in degrees.

Supports:

• Standard (tropical)
• Draconic (nodes-based)

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⏳ Time Input Flexibility

AetherField accepts multiple time formats seamlessly:

Python datetime

af.sign(datetime.now(), "saturn")

MoonTime

af.sign(MoonTime.now(), "venus")

Skyfield

ts = load.timescale()
sf = ts.from_datetime(dt)
af.sign(sf, "jupiter")

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🖥️ CLI Usage

AetherField includes a command-line interface.

aetherfield --body sun

aetherfield --body moon --dt 2026-04-23T04:21:12

aetherfield --body uranus --mt mt:6739,01,12 --json

Example Output

sun @ 2026-04-23T02:05:39.166446+00:00
  Aether:     30.398 deg  (Aries)

moon @ 2026-04-23T04:21:12+00:00
  Aether:    112.204 deg  (Gemini)

{
  "body": "uranus",
  "dt": "2026-04-23T11:19:24.019270+00:00",
  "lon": 86.42849018346915,
  "sign": "Taurus"
}

The CLI automatically pulls hosted calibration when available.

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🧬 Design Philosophy

AetherField is built to be:

• Composable → Works with external time systems
• Deterministic → Same input, same output
• Extensible → Calibration layers evolve without breaking core logic
• Decoupled → Time, data, and interpretation remain separate

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🌙 Ecosystem

AetherField pairs naturally with:

• moontime → temporal framework
• Skyfield → astronomical precision

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🧪 Status

Early release. Core systems are stable, but APIs may evolve as calibration and data layers expand.

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🕯️ Closing Note

AetherField doesn’t try to define meaning.

It provides structure — positions, alignments, relationships.

What you build on top of that… is entirely yours.