Space_Weather is a lightweight, modular solar-weather monitoring system designed to fetch, analyze, and visualize real-time data about solar flares, geomagnetic storms, solar wind activity, and more.
Whether you're a researcher, hobbyist, network admin, or citizen scientist, this tool serves as a powerful foundation for deeper solar-weather analytics.
- Modular architecture — easily extend with your own APIs or analysis modules
- Simple entry point (
main.py) - Configurable via
pyproject.toml - Designed for learning, experimentation, and future dashboards
- Perfect for expanding into:
- GUI apps
- Space-weather alert bots
- Scientific data pipelines
- Real-time monitoring dashboards
Space_Weather/ │ ├── main.py # Main script — starting point of the program ├── pyproject.toml # Project metadata & dependencies ├── .python-version # Python version pin ├── .gitignore └── README.md
bash
git clone https://github.com/c0pp3rdru1d/Space_Weather
cd Space_Weather
- (Optional) Create a virtual environment
python3 -m venv venv source venv/bin/activate # Windows: venv\Scripts\activate
- Install dependencies
If you add dependencies to pyproject.toml, install them using:
pip install .
Run the monitoring script:
python main.py
You can extend it to:
from space_weather import fetch_solar_data, analyze, warn
data = fetch_solar_data() report = analyze(data)
if warn(report):
print("
🌐 Future API Integrations
Space_Weather is designed to plug into free, real scientific data sources: Source Data Provided NASA DONKI Flares, CMEs, radiation storms NOAA SWPC Kp index, solar wind, aurora predictions ESA Space Weather Electron/proton flux, coronal holes Open Meteo-Space Solar wind & geomagnetic parameters
You can add a /api_clients/ module for automatic retrieval. 🛰️ Why Monitor Space Weather?
Modern life depends on systems vulnerable to solar activity:
GPS degradation
Satellite anomalies
Aviation communication interference
Power grid instability
HF/VHF signal disruption
Radio blackout events
Monitoring helps predict and mitigate risks before failures occur. 🛣 Roadmap Phase 1 — Core System (Current)
Setup project skeleton
Basic monitoring loop
Add logging + output formatting
Phase 2 — Data Integration
Add NASA DONKI API client
Add NOAA SWPC telemetry
Add Kp index visualizer
Phase 3 — GUI Application
Tkinter or PyQt live dashboard
Real-time graphs (matplotlib / plotly)
Alerts & Notifications
Phase 4 — Pro Version
Space-weather forecasting model
Neural-net anomaly prediction
Distributed sensor network support
🖼 Screenshots (Planned)
You can add these later once the project has UI or CLI output.
[ placeholder ] [ Live Solar Wind Panel ] [ CME Alerts Panel ] [ Kp Index Graph ]
🤝 Contributing
Pull Requests are welcome! If you'd like help selecting your first issue or planning architecture, contact the creator (c0pp3rdru1d). 📝 License
This project is licensed under the MIT License. See the LICENSE file for more information. ⭐ Support & Acknowledgements
If this project inspires you, leave a star on GitHub ⭐ It helps bring visibility to space-weather science tools. Built by CopperDruid
Software Developer • Network Admin • Space Weather Enthusiast