aymenhmaidiwastaken

aymenhmaidiwastaken / cosmicwatch

Public

AI-powered Earth & Space monitoring platform. Analyzes 5,000+ exoplanets, tracks near-Earth asteroids, monitors global wildfires using NASA satellite data with machine learning pipelines (KMeans, Isolation Forest, ARIMA forecasting) and interactive Plotly Dash dashboard.

asteroids data-visualization exoplanets machine-learning nasa
11
0
100% credibility
Found Mar 16, 2026 at 11 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

CosmicWatch is an open-source dashboard that processes public NASA data on exoplanets, near-Earth asteroids, and global wildfires to provide interactive visualizations, risk assessments, and forecasts.

How It Works

1
🔭 Discover CosmicWatch

You stumble upon this fun tool that lets everyday people explore planets, asteroids, and wildfires using real space data.

2
📦 Set it up easily

Follow a few simple steps to get everything ready on your computer, no tech skills needed.

3
📡 Grab fresh data

Pull in the latest satellite pictures and measurements from space agencies with one easy action.

4
🚀 Open the dashboard

Launch a colorful screen packed with maps, charts, and live views of the universe.

5
Choose your adventure
🪐
Explore planets

Hunt for Earth-like worlds out there.

☄️
Track space rocks

Watch asteroids zooming close by.

🔥
Spot wildfires

See fires burning around the globe.

📊
Get full report

Pull together all the big-picture alerts.

6
⭐ Wow, amazing views!

Interactive graphs light up, showing predictions, risks, and hidden patterns that feel like magic.

✅ Stay cosmic-savvy

You now have daily space reports, alerts, and insights to share with friends about our wild universe.

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Star Growth

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AI-Generated Review

What is cosmicwatch?

Cosmicwatch is an AI-powered earth intelligence platform that pulls real-time NASA data to monitor exoplanets, near-Earth asteroids, and global wildfires. It crunches 5,000+ exoplanets for Earth Similarity Index and habitability clusters, scores asteroid risks with anomaly detection, and forecasts fire spread using satellite feeds—all served via a Plotly Dash dashboard, FastAPI endpoints, and a Rich CLI for reports. Built in Python with scikit-learn pipelines, it solves the hassle of stitching NASA APIs into actionable insights without keys or custom scripts.

Why is it gaining traction?

It bundles NASA open data with ready ML models like KMeans clustering and ARIMA forecasting into one interactive dashboard, skipping the ETL grind. Devs dig the CLI commands for quick scans ("cosmicwatch neo scan") and API summaries (/api/exoplanet/summary), plus dark/light themes and 3D orbital plots that feel polished. As an ai powered projects github standout, it echoes cosmicwatch mit experiments but adds earth monitoring hooks absent in raw NASA tools.

Who should use this?

Astrophysicists hunting habitable exoplanets, space agencies tracking NEO threats, or emergency teams monitoring wildfire hotspots via regional forecasts. Data scientists prototyping ai powered google earth-style apps or ai powered earth intelligence dashboards will save weeks on pipelines.

Verdict

Grab it for NASA ML prototypes—solid docs, Makefile, and MIT license make it fork-friendly despite 11 stars and 1.0% credibility score signaling early maturity. Test the dashboard first; scale with caution until more production hardening.

(198 words)

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