SkyLens
Will It Rain on
My Parade?
My Parade?
Plan your outdoor events with confidence using NASA satellite data,
NOAA, ECMWF, and Manyu Weather API for the most accurate forecasts.
NOAA, ECMWF, and Manyu Weather API for the most accurate forecasts.
NASA Space Apps
Built for NASA Space Apps Hackathon
Combining space-based science with modern weather APIs
to deliver reliable forecasts for your outdoor events.
to deliver reliable forecasts for your outdoor events.
Features
Accurate forecasts powered by science
Plan with confidence using satellite data and advanced
weather models from trusted sources worldwide.
weather models from trusted sources worldwide.
NASA Satellite Precision
Access real-time rainfall data from NASA's Global Precipitation Measurement mission for unmatched accuracy.
Multi-Source Intelligence
Combines Manyu Weather API, NOAA, and ECMWF forecasts for comprehensive weather outlooks.
Simple & Intuitive
Enter your event location and date to get instant rain probabilities and confidence levels.
Confidence You Can Trust
Clear probability scores and confidence levels help you make informed decisions about your outdoor plans.
Platform Features
Streamline your business operations
Manage schedules, analyze data, and collaborate with your team
all in one powerful platform.
all in one powerful platform.
Plan your schedules
Explore your data, build your dashboard,
bring your team together.
Data to insights in minutes
Transform raw data into actionable insights
with powerful analytics tools.
Collaborate seamlessly
Work together in real-time with your team
and share insights instantly.
"In just a few minutes, we transformed our data into actionable insights. The process was seamless and incredibly efficient!"
Jamie Marshall
Co-founder, Exponent
Free & Open Source
Free for everyone, forever
Built as a NASA Space Apps Hackathon project.
Completely free and open source for the community.
Completely free and open source for the community.
Free Access
Full access to all weather forecasting features powered by NASA data and multiple weather APIs.
$0
Forever. No credit card required.
Start checking weather
NASA satellite rainfall data
Manyu Weather API integration
NOAA & ECMWF forecasts
Rain probability calculations
Confidence level indicators
Event planning recommendations
Location-based forecasts
Open source codebase
Frequently Asked Questions
Everything you need to know about planning
your outdoor events with confidence.
your outdoor events with confidence.
SkyLens is a free weather forecasting tool built for NASA Space Apps Hackathon. It combines NASA satellite rainfall data with Manyu Weather Forecast API, NOAA, and ECMWF outlooks to provide accurate rain predictions for your outdoor events.
Our forecasts blend multiple trusted sources including NASA's Global Precipitation Measurement mission, NOAA models, and ECMWF data. We provide confidence levels with each prediction so you know how reliable the forecast is for your specific date and location.
SkyLens is perfect for any outdoor event where rain would be a concern - parades, weddings, festivals, sports events, picnics, concerts, and more. Simply enter your event location and date to get rain probability forecasts.
Yes! SkyLens was created as a NASA Space Apps Hackathon project and is completely free to use. Our mission is to make accurate weather forecasting accessible to everyone planning outdoor events.
You can check weather forecasts up to 14 days in advance. For the most accurate predictions, we recommend checking closer to your event date as forecast confidence increases with proximity.
Confidence levels indicate how reliable our forecast is based on agreement between multiple weather models and data sources. Higher confidence means our various data sources agree, giving you more certainty for planning decisions.
Ready to plan with confidence?
Check the weather forecast for your next parade, wedding, or festival.
Get accurate rain predictions powered by NASA satellite data.
Get accurate rain predictions powered by NASA satellite data.
Built with❤️love
Aalind Tiwari
Coder, Researcher and Lead for this project