Tracking the trends and movements of the COVID-19 virus. Visit the site here.
The trends of the virus are visualized through interactive graphs and tables that show the movement on a per-country or global basis. These visualizations show:
- The total number of cases (confirmed & deaths)
- The rate of change per day
- The acceleration per day
- The exponential trajectory path
The data is accmulated from the John Hopkins University CSSE repository.
Now supporting live news about COVID-19 and travel alerts on a per-country basis!
⭐ If you wish to stay notified, please consider starring this repo! ⭐
This project runs on a React frontend managed by npm and a Python3 backend routed by Flask. Alternatively, you can use a Docker container to encapsulate the project.
Use the package manager pip to install the requirements for the backend microservice component:
cd flask-microservice
virtualenv <your-venv>
source <your-venv>/bin/activate
pip install -r requirements.txtAlternatively, use the provided Docker script to create a Docker container of the project:
./flask-microservice/docker-init.shMake sure to have node and npm installed on your machine. This frontend component is running on node v10.15.0.
node -v
npm -vIn a terminal shell, run the following to start the microservice server.
python flask-microservice/server.pyAlternatively, if built through the Docker container, run the following script:
./flask-microservice/docker-run.shIn another shell, run the following to start a local instance of the website on your machine.
cd coronatracker
npm install
npm start