https://github.com/moiri-gamboni/city-explorer
Interactive comparison for choosing where to base a coliving and coworking hub
https://github.com/moiri-gamboni/city-explorer
city-comparison coliving coworking data-visualization digital-nomad
Last synced: about 7 hours ago
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Interactive comparison for choosing where to base a coliving and coworking hub
- Host: GitHub
- URL: https://github.com/moiri-gamboni/city-explorer
- Owner: moiri-gamboni
- Created: 2026-05-20T15:50:41.000Z (about 1 month ago)
- Default Branch: main
- Last Pushed: 2026-05-20T17:59:04.000Z (about 1 month ago)
- Last Synced: 2026-05-20T23:09:53.076Z (about 1 month ago)
- Topics: city-comparison, coliving, coworking, data-visualization, digital-nomad
- Language: JavaScript
- Homepage: https://cities.moiri.dev
- Size: 1.01 MB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Coliving Hub City Explorer
Interactive comparison of 26 cities for choosing where to base a coliving and coworking hub. Live at **[cities.moiri.dev](https://cities.moiri.dev)**.
Rank cities by your own priorities, compare them side by side, drill into any single city, and trace every figure back to its source.
## What it does
- **Ranking**: adjustable per-criterion weight sliders, with an optional cost-of-living value adjustment.
- **Compare**: any subset of cities side by side; picking exactly two opens a head-to-head view.
- **City detail**: every criterion, score, and justification for each city.
- **Sources** and **Methodology**: a searchable source index and the full scoring legend.
- Weights and city selections persist locally, and "copy link" produces a URL that reproduces them for someone else.
## The data
26 cities scored on 36 criteria spanning visas, cost, climate, safety, community, recreation, and governance. Each score is the mean of three independent blind-scoring passes against a fixed calibration set.
The whole dataset ships in `data.js`, which is self-contained: the site needs nothing else to run. `data.js` and the downloadable `data-bundle.zip` are generated from a separate research dataset and committed here so the site is ready to serve as is.
## Running locally
It is a static site, so any static file server works:
```
python3 -m http.server 8000
```
Then open `http://localhost:8000`.
## Files
- `index.html`, `app.js`, `styles.css`: the application
- `suggested-weights.js`: the recommended starting weights
- `data.js`: the full city dataset (generated)
- `data-bundle.zip`: the same dataset as downloadable CSVs (generated)