EM-VIEW is a Streamlit web application designed to visualize the EM-DAT International Disaster Database XLSX datasets.
The dashboard features multiple analytical views:
- Metric view – key impact indicators by disaster type
- Table view – full dataset exploration with column filtering
- Map view – global and regional impact maps by country
- Time view – yearly-aggregated impact timelines
You can download EM-DAT data by registering at the
EM-DAT Public Data Portal.
🧾 This repository is an adaptation of an original open-source EM-VIEW implementation
by the EM-DAT team. The initial version was developed under the EM-DAT project with support from USAID.
SAEON (South African Environmental Observation Network) contributed modifications to:
- Adapt the interface for local/regional analysis
- Introduce PostgreSQL as a backend source
- Add Docker and Dev Container support for streamlined deployment
We do not claim authorship of the original codebase — only the enhancements made in this forked version.
This project is fully configured for use with Visual Studio Code + Dev Containers.
- Docker (or Podman) installed
- VSCode + Dev Containers extension
- Open the folder in VSCode
- Reopen in Dev Container when prompted
- Once container is ready, run:
streamlit run app.pyAccess the app at http://localhost:8501
docker compose up --build- Automatically installs dependencies
- Runs the Streamlit app at http://localhost:8501
You can customize database credentials via .env.
If not using Docker or Dev Containers:
pip install -r requirements.txtstreamlit run app.pyMIT — see LICENSE file.
Note: This license covers only the software in this repository.
The EM-DAT dataset itself is governed by separate EM-DAT Terms of Use.
Original EM-VIEW development was led by the EM-DAT team with support from USAID.
This adapted version includes contributions by SAEON for deployment and integration enhancements tailored to regional use cases in Southern Africa.