VedAstro 1.23.19

An open source Python library for advanced astronomical calculations like planet longitude, house sign, shadbala, etc...

✨ Vedic Astrology in Python

🙏 How VedAstro can help you...

• Website --> easy & fast astrology data for normal users
• AI Astrologer --> 🤖 World's 1st open source Vedic AI astrologer
• Numerology --> Accurate Name Numerology using Mantra Shastra

🗺️ What can this do?

Easily code complex vedic astrology math and logic. A powerful tool for astronomical calculations and data analysis. It provides a collection of functions and classes to perform various astronomical calculations, such as celestial object positions, time conversions, coordinate transformations, and more.

🏎️ Quick Start

Step 1: Run pip install vedastro

Step 2: Do astro calculation in less than 10 lines

from vedastro import * 

#PART 1 : PREPARE NEEDED DATA
#-----------------------------------

# set birth location
geolocation = GeoLocation("Tokyo, Japan", 139.83, 35.65)

# group all birth time data together (day/month/year)
birth_time = Time("23:40 31/12/2010 +08:00", geolocation)

#PART 2 : CALCULATE ALL DATA
#-----------------------------------

#PLANETS
allPlanetDataList = Calculate.AllPlanetData(PlanetName.Sun, birth_time)
print(json.dumps(allPlanetDataList, indent=4))

#HOUSES
allHouseDataList = Calculate.AllHouseData(HouseName.House1, birth_time)
print(json.dumps(allHouseDataList, indent=4))

#ZODIAC SIGNS
allZodiacDataList = Calculate.AllZodiacSignData(ZodiacName.Gemini, birth_time)
print(json.dumps(allZodiacDataList, indent=4))

Step 3: Done ✅

🧮 +400 Calculations

⚙️ How it works

Coded & compiled in C# for maximum CPU computation efficency and speed, then made available in a Python wrapper. Can be run in Linux, Windows & Mac OS.

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Contributing

Contributions to VedAstro Python are welcome! If you find a bug, have a feature request, or want to contribute code, please open an issue or submit a pull request. Make sure to read our contribution guidelines before getting started.

License

VedAstro Python is released under the MIT License. See LICENSE for more information.