An interactive environment for visualizing the L1 data of the GC-Net (link).
- Deploy to different PaaS (or via GitHub pages)
- Improve performance when loading hourly data
- Add memoization caching
- Implement clientside and background callbacks
- Speed up serialization to JSON
- Rearrange filters
- Refactoring
- Visualize climatologies
- Visualize uncertainty
- Clone the git repository
git clone https://github.com/silorepos/gcnvis.git
- Create and activate new virtual environment (recommended)
python3 -m venv venv
source /venv/bin/activate # On Windows: .\venv\Scripts\activate.bat
- Install all dependencies
pip install -r requirements.txt
- Download the latest L1 data
bash /scripts/download_data.sh
- Run the app (and visit http://127.0.0.1:8050/ in your browser)
python app.py