TutorLoom
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Quiz, practice and atlas of the world's 511 cities over 1 million (UN WUP 2025)
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檢視完整 README ↗Map quizzes: Million Cities, Physical features (oceans, seas, rivers, lakes, mountains, deserts, islands …), Languages (where they're spoken, with hello / thank you / goodbye and pronunciation) and, per country, Austria (in German): the 200 largest Gemeinden (practise the top 100, ranks 101–200 or all 200) and Austria's rivers, lakes, glaciers, mountain groups, peaks, passes, valleys and gorges. Each has a type-in quiz, practice modes with an easier/harder setting and an atlas.
Learn all 511 cities in the world with more than one million inhabitants: a type-in quiz with a map, practice modes (name the city, find it on the map, which one is bigger?) and an atlas with every city's population, rank, growth from 1975 to 2050, and the towns it includes. A selector adds the 149 cities between 800,000 and 1 million (660 in total).
Three databases can be switched: agglomerations (UN WUP 2025, one method everywhere, the default), national definitions (UN WUP 2018, each country's own definition) and city proper (administrative city populations from Wikidata).
Play: https://squeakycamp.github.io/million-cities/
Progress is saved in your browser (localStorage).
Quiz sets (see each quiz's “?” page):
Million Cities:
tools/build_alt.py).tools/fetch_wiki.py, tools/facts/.python3 server.py serves static/ and stores progress on the server (data/state.json), so several devices can
share one profile. Settings go in settings.local.json ({"host": "127.0.0.1", "port": 8170}).
To rebuild the data: tools/prepare_raw.sh (downloads the raw sources, ~700 MB) and then tools/build.sh.
Requires pip install shapely pyproj openpyxl xlrd numpy. Name fixes and extra accepted answers are in tools/overrides.py.