An interactive dashboard developed with Dash by Plotly, providing real-time and historical insights on space exploration. The dashboard autonomously updates multiple datasets through a fully automated pipeline of Google Cloud Functions and scrapers, ensuring the information is always up-to-date without any manual intervention.
This is the local deployment branch. The project also supports AWS and GCP deployments, with the necessary configuration files available in their respective branches.
- Local deployment:
masterbranch - AWS deployment:
aws-deploymentbranch - GCP deployment:
gcp-deploymentbranch
The GCP deployment is fully automated via Cloud Run and Cloud Functions. The update workflow is as follows:
These datasets are maintained by three independent scrapers:
- 🚀 NextSpaceFlight Scraper (Past launches)
- 🛰 Next Launch Scraper (Upcoming launch)
- 🌍 Wikipedia Space Scraper (Historical events)
The system is designed for flexibility in deployment:
- Local Setup: Clone the repository, install dependencies from
requirements.txt, and run locally. - Cloud Deployment: For deploying on Google Cloud Platform (GCP) or Amazon Web Services (AWS), modify the
user_config.pyto fit your configurations. Ensure appropriate permissions are set.
If you need to configure the application for a specific environment, check the corresponding branches:
- AWS Configuration: Branch
env/aws-config - GCP Configuration: Branch
env/gcp