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jyotishganit

Professional grade Vedic Astrology Computation Library for Python

jyotishganit is a comprehensive, high precision Python library that brings the ancient wisdom of Jyotisha (Vedic Astrology) to modern computational environments. Built with astronomical accuracy using NASA JPL ephemeris data and designed for both researchers and practitioners, it provides complete birth chart generation with traditional Indian astrological elements.

Key Features

• Astronomical Precision: NASA JPL DE421 ephemeris data via Skyfield for research grade accuracy
• Complete Birth Charts: Full D1-D60 divisional chart calculations following Vedic principles
• Panchanga System: Traditional five limb almanac with Tithi, Nakshatra, Yoga, Karana, Vaara
• Shadbala Calculations: Six fold planetary strength analysis with detailed breakdowns
• Dasha Periods: Vimshottari Dasha system with precise planetary periods. With more under development
• Cross-Platform: Works seamlessly on Windows, macOS, and Linux
• JSON-LD Output: Structured data format for modern web integration
• Developer-Friendly: Clean Python API with comprehensive documentation

🚀 Quick Start

pip install jyotishganit

from datetime import datetime
from jyotishganit import calculate_birth_chart, get_birth_chart_json_string

# Generate a complete Vedic birth chart
chart = calculate_birth_chart(
    birth_date=datetime(1996, 7, 4, 9, 10, 0), # 4th July 1996 9:10 am
    latitude=18.404,   # Karmala, India
    longitude=75.195,
    timezone_offset=5.5,  # IST
    name="Bhampu"
)

# Access key astrological data
print(f"Ascendant: {chart.d1_chart.houses[0].sign}")
print(f"Moon Sign: {chart.d1_chart.planets[1].sign}")  # Moon is index 1
print(f"Nakshatra: {chart.panchanga.nakshatra}")

# Save the entire chart as JSON
with open("birth_chart.json", "w") as json_file:
    json_file.write(get_birth_chart_json_string(chart))

print("Birth chart saved to birth_chart.json")

Expected output:

Ascendant: Leo
Moon Sign: Aquarius
Nakshatra: Dhanishta
Birth chart saved to birth_chart.json

Comprehensive Astrological Components

Astronomical Foundation

• Planetary Positions: All 9 Vedic grahas (Sun, Moon, Mars, Mercury, Jupiter, Venus, Saturn, Rahu, Ketu)
• True Chitra Paksha Ayanamsa: Precise sidereal zodiac alignment using Spica star reference
• House System: Traditional whole sign houses with accurate cusp calculations
• Cross-Platform Data Storage: Follows OS conventions for ephemeris data storage

Panchanga (Vedic Almanac)

panchanga = chart.panchanga
print(f"Tithi: {panchanga.tithi}")           # Lunar day (1-30)
print(f"Nakshatra: {panchanga.nakshatra}")   # Moon's constellation
print(f"Yoga: {panchanga.yoga}")             # Sun-Moon combination
print(f"Karana: {panchanga.karana}")         # Half lunar day
print(f"Vaara: {panchanga.vaara}")           # Weekday

Expected output:

Tithi: Krishna Chaturthi
Nakshatra: Dhanishta
Yoga: Priti
Karana: Balava
Vaara: Thursday

Divisional Charts (Varga Chakra)

Complete D1-D60 chart calculations following traditional Vedic methods:

Chart	Sanskrit Name	Significance	Usage
D1	Rasi	General life, personality	Primary analysis of overall tendencies and potential
D2	Hora	Wealth and financial potential	Detailed analysis of financial prosperity, assets, and savings
D3	Drekkana	Courage, siblings, and personal efforts	Analysis of relationships with siblings and personal drive
D4	Chaturthamsa	Fixed assets, property, happiness	Analysis of real estate, home life, and general well-being
D7	Saptamsa	Children, progeny, and creativity	Analysis of potential for and relationship with children
D9	Navamsa	Marriage, dharma, spiritual growth	Reveals inner potential, spouse characteristics, and destiny after marriage
D10	Dasamsa	Career, profession, social status	Detailed analysis of professional life, achievements, and public reputation
D12	Dwadasamsa	Parents, ancestors, lineage	Analysis of parental and ancestral karma, and inherited traits
D16	Shodasamsa	Vehicles, luxuries, material comforts	Evaluation of worldly pleasures, happiness, and conveyances
D24	Chaturvimsamsa	Education and learning	Analysis of higher education, knowledge, and academic achievements
D27	Bhamsha / Saptavimsamsa	Physical strength and weaknesses	Evaluation of overall vitality, stamina, and resilience
D30	Trimsamsa	Misfortunes, evils, and suffering	Analysis of adversities, health issues, and hidden troubles
D60	Shashtiamsa	Past life karmas, deep-rooted destiny	Final confirmation for predictions, revealing inherited blessings and karmic debt

# Access any divisional chart
navamsa = chart.divisional_charts['d9']
for house in navamsa.houses:
    for planet in house.occupants:
        print(f"{planet.celestial_body} in {planet.sign}")

Expected output:

Venus in Gemini
Rahu in Gemini
Mars in Cancer
Jupiter in Virgo
Moon in Libra
Saturn in Scorpio
Ketu in Sagittarius
Mercury in Capricorn
Sun in Pisces

Shadbala (Six-Fold Strength System)

Comprehensive planetary strength analysis with traditional calculations:

sun = chart.d1_chart.planets[0]  # Sun
shadbala = sun.shadbala['Shadbala']

print(f"Total Shadbala: {shadbala['Total']:.2f}")
print(f"Strength in Rupas: {shadbala['Rupas']:.2f}")

# Detailed breakdown
print(f"Positional Strength: {shadbala['Sthanabala']:.2f}")
print(f"Temporal Strength: {shadbala['Kaalabala']:.2f}")
print(f"Directional Strength: {shadbala['Digbala']:.2f}")
print(f"Motional Strength: {shadbala['Cheshtabala']:.2f}")
print(f"Natural Strength: {shadbala['Naisargikabala']:.2f}")
print(f"Aspectual Strength: {shadbala['Drikbala']:.2f}")

Expected output:

Total Shadbala: 587.09
Strength in Rupas: 9.79
Positional Strength: 130.87
Temporal Strength: 222.92
Directional Strength: 48.78
Motional Strength: 117.13
Natural Strength: 60.00
Aspectual Strength: 7.39

Ashtakavarga System

Traditional point-based strength calculation:

# Get Sarvashtakavarga (combined points for all planets)
sarva = chart.ashtakavarga.sav
for sign, points in sarva.items():
    print(f"{sign}: {points} points")

# Individual planet ashtakavarga (Bhinnashktakavarga)
sun_ak = chart.ashtakavarga.bhav['Sun']
print(f"Sun's contribution to each sign: {sun_ak}")

Expected output:

Aries: 31 points
Taurus: 27 points
Gemini: 29 points
Cancer: 24 points
Leo: 27 points
Virgo: 24 points
Libra: 33 points
Scorpio: 31 points
Sagittarius: 27 points
Capricorn: 29 points
Aquarius: 22 points
Pisces: 33 points
Sun's contribution to each sign: {'Aries': 6, 'Taurus': 4, 'Gemini': 4, 'Cancer': 3, 'Leo': 3, 'Virgo': 2, 'Libra': 5, 'Scorpio': 6, 'Sagittarius': 4, 'Capricorn': 4, 'Aquarius': 3, 'Pisces': 4}

Dasha Periods (Planetary Periods)

Precise Vimshottari Dasha calculations:

dashas = chart.dashas
print('\n\n'.join(['Mahadasha: %s\n  Start: %s\n  End:   %s' % (lord, md['start'], md['end']) for lord, md in list(dashas.upcoming['mahadashas'].items())[:3]]))

Expected output:

Mahadasha: Jupiter
    Start: 2017-06-21
    End:   2033-06-22

Planetary Dignities

Access planetary dignities for any planet. Example (Mars):

mars = next(p for p in chart.d1_chart.planets if p.celestial_body == "Mars")
print(f"Mars dignities: {mars.dignities}")

Expected output:

Mars dignities: PlanetDignities(dignity='neutral', planet_tattva='Fire', rashi_tattva='Earth', friendly_tattvas=['Air', 'Fire'])

Graha Drishti (Planetary Aspects)

Traditional Vedic aspectual relationships:

# Planets aspecting and aspected
jupiter = next(p for p in chart.d1_chart.planets if p.celestial_body == "Jupiter")

# Houses aspected by Jupiter
houses_aspected = [aspect['to_house'] for aspect in jupiter.aspects['gives'] if 'to_house' in aspect]
print(f"Jupiter aspects houses: {houses_aspected}")

# Planets aspecting Jupiter
aspected_by = [aspect['from_planet'] for aspect in jupiter.aspects['receives']]
print(f"Jupiter is aspected by: {aspected_by}")

Expected output:

Jupiter aspects houses: [1, 11, 9]
Jupiter is aspected by: ['Mars', 'Saturn', 'Mercury', 'Sun']

Installation

Standard Installation

pip install jyotishganit

Development Installation

git clone https://github.com/northtara/jyotishganit.git
cd jyotishganit
uv sync --all-extras --locked

Data Storage

Ephemeris data is automatically stored in platform-appropriate locations:

• Windows: %LOCALAPPDATA%\jyotishganit\
• macOS: ~/Library/Application Support/jyotishganit/
• Linux: ~/.local/share/jyotishganit/

Testing & Validation

jyotishganit includes comprehensive test suites ensuring calculation accuracy:

# Run all tests
uv run --locked pytest tests/

# Run specific test categories
uv run --locked pytest tests/test_panchanga.py      # Panchanga calculations
uv run --locked pytest tests/test_strengths.py     # Shadbala calculations
uv run --locked pytest tests/test_birth_charts.py  # Complete chart generation

# Package validation
uv run --locked python -m build
uv run --locked twine check dist/*

Calculation Accuracy

• Planetary Positions: Accurate to arc-seconds using JPL ephemeris
• Ayanamsa: True Chitra Paksha based on Spica star position
• Traditional Methods: Follows classical Vedic texts (Brihat Parashara Hora Shastra, etc.)
• Cross-Verification: Calculations verified against established Jyotisha software

API Reference

Core Functions

from jyotishganit import calculate_birth_chart, get_birth_chart_json, Person

# Main calculation function
chart = calculate_birth_chart(
    birth_date=datetime,     # Local birth time
    latitude=float,          # Geographic latitude
    longitude=float,         # Geographic longitude
    timezone_offset=float,   # Hours from UTC (e.g., 5.5 for IST)
    location_name=str,       # Optional location name
    name=str                 # Optional person name
) -> VedicBirthChart

# JSON output functions
json_dict = get_birth_chart_json(chart)           # -> Dict[str, Any]
json_string = get_birth_chart_json_string(chart)  # -> str

Data Models

VedicBirthChart

The complete birth chart container with all astrological data:

chart.person            # Person: Birth details and location
chart.ayanamsa          # Ayanamsa: Calculated ayanamsa value
chart.panchanga         # Panchanga: Five-limb almanac data
chart.d1_chart          # RasiChart: Primary birth chart (D1)
chart.divisional_charts # Dict[str, RasiChart]: D2-D60 charts
chart.ashtakavarga      # Dict: Ashtakavarga point system
chart.dashas           # Dashas: Vimshottari dasha periods

PlanetPosition

Individual planetary data with comprehensive details:

planet.celestial_body   # str: Planet name
planet.sign            # str: Zodiac sign
planet.sign_degrees    # float: Degrees within sign
planet.nakshatra       # str: Lunar constellation
planet.pada            # int: Nakshatra quarter (1-4)
planet.house           # int: House number (1-12)
planet.dignities       # List[str]: Astrological dignities
planet.shadbala        # Dict: Six-fold strength calculations
planet.aspects_houses  # List[int]: Houses aspected
planet.aspected_by     # List[str]: Planets aspecting this one

Contributing

We welcome contributions from the Vedic astrology and Python communities!

Development Setup

This project uses uv for fast, reproducible dependency management. With direnv and .envrc, the venv activates automatically when you cd into the repo.

git clone https://github.com/northtara/jyotishganit.git
cd jyotishganit
uv sync --all-extras --locked  # creates .venv and installs locked dependencies
direnv allow                  # if using direnv: auto-activate .venv on cd

Running Tests

uv run --locked pytest tests/          # All tests
uv run --locked ruff check .           # Lint
uv run --locked ruff format --check .  # Format check
uv run --locked mypy jyotishganit/     # Type checking
uv run --locked pre-commit run --all-files

Contribution Guidelines

• Focus: Maintain accuracy to traditional Vedic astrology principles
• Testing: Include comprehensive tests for new features
• Documentation: Update docstrings and README for API changes
• Performance: Consider computational efficiency for large-scale usage

License

MIT License - see LICENSE file for details.

Acknowledgments

• Astronomical Foundation: Built on Skyfield (MIT License) for precise ephemeris calculations
• Traditional Wisdom: Calculations follow classical Vedic texts, including but not limited to Brihat Parashara Hora Shastra, Saravali, Surya Siddhanta
• Modern Integration: Designed for contemporary software development while preserving ancient accuracy

Project Status

Aspect	Status
Stability	✅ Production Ready
Testing	✅ Comprehensive Test Suite
Documentation	✅ Complete API Documentation
Cross-Platform	✅ Windows, macOS, Linux
Python Versions	✅ 3.10, 3.11, 3.12, 3.13
CI/CD	✅ GitHub Actions
Package Quality	✅ PyPI Best Practices

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Built with reverence for the ancient science of Jyotish and modern software engineering excellence by the team behind Northtara.ai

|| श्री कृष्णार्पणमस्तु ||