An open-source iOS and macOS app for tracking coronavirus cases with interactive maps and detailed charts.
CoronaTracker is an open-source application for iOS and macOS that tracks and visualizes COVID-19 coronavirus cases in real-time. It displays data using interactive maps and a variety of charts to show the spread of the virus across countries and cities. The app solves the need for a detailed, localized, and visually clear view of pandemic statistics.
This app is for macOS and iOS users, including public health enthusiasts, researchers, journalists, and general users who want to monitor the pandemic with detailed, interactive visualizations on their Apple devices.
Developers and users choose CoronaTracker for its comprehensive, native Apple ecosystem experience, offering multi-level map details, extensive chart types, and automatic live data updates—all as a free, open-source alternative to commercial trackers.
Coronavirus tracker app for iOS & macOS with maps & charts
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
Pulls live COVID-19 statistics from multiple authoritative sources like Johns Hopkins University and updates automatically, ensuring users always have the latest information.
Offers multi-level maps with country and city zoom, plus a comprehensive chart suite including logarithmic scales, enabling detailed pandemic analysis from the README examples.
Provides full compatibility with iOS, macOS, and iPad, including a Today widget, for a seamless experience across Apple devices as highlighted in the features.
Benefits from a global contributor base with extensive translations and feature additions, evidenced by the detailed credits list for languages and data sources.
Only supports Apple devices built with Swift and Xcode, making it inaccessible for Android, Windows, or web users without significant redevelopment.
Relies on external APIs like JHU CSSE; changes or discontinuations in these sources could break functionality, requiring frequent updates not guaranteed in the open-source model.
Specifically designed for COVID-19 data visualization, limiting adaptability for other health or statistical datasets without major code modifications.