About TripTimi
A travel timing guide built on climate data, crowd patterns, and price signals — designed to answer one practical question: when is the right month to visit?
Who built this
TripTimi was created by Paweł Celeński, a developer and traveller based in Poland. The project started as a personal tool for comparing travel windows across European cities and grew into a full guide covering 71 cities, each with a single month-by-month guide that scores all 12 months.
The goal is to give travellers comparable, data-grounded answers instead of generic "best time to visit" articles that ignore crowd levels, price seasonality, and the actual shape of a month's weather.
Questions or feedback: contact@triptimi.com
How the TripTimi Score works
Each city-month page shows a TripTimi Score from 0 to 100. The score is a weighted composite of five factors derived from historical climate data and seasonal demand signals:
| Factor | Weight | What it measures |
|---|---|---|
| Temperature comfort | 30% | Optimal day and night temps for walking-heavy city trips (peaks around 22°C day / 14°C night) |
| Precipitation | 30% | Both rainy-day frequency and total rainfall mm — how often rain interrupts plans |
| Sunshine hours | 20% | Daily average sunshine hours — affects mood, photography, and outdoor time |
| Crowd level | 10% | Seasonal demand model based on tourism patterns and city population |
| Price level | 10% | Relative accommodation and travel cost vs. the city's own annual average |
Score tiers: 80+ Excellent · 68–79 Very Good · 55–67 Solid · 45–54 Mixed · <45 Only if the timing fits
Data sources
- Climate data — Open-Meteo historical climate averages (temperature, rainfall, sunshine hours, humidity) — 10+ year monthly averages per city.
- Crowd signals — Seasonal demand model built from population data, European tourism seasonality patterns, and city-scale multipliers.
- Price signals — Relative seasonal index — not absolute prices, but whether a given month is above or below a city's annual average.
- Points of interest — OpenStreetMap — popularity scores derived from edit frequency and map usage data. Photos are from Wikimedia Commons under their respective licences.
Editorial standards
TripTimi pages are data-first. Each city guide is built directly from the underlying datasets — the climate chart, the month-by-month comparison table, and the TripTimi Score — rather than from long-form written articles. The data is the content, and every figure traces back to a named source.
The TripTimi Score is an indicative index, not a travel recommendation. It reflects typical seasonal conditions based on historical averages — actual weather, prices, and crowd levels in any given year will vary. Always check current conditions before booking. See the disclaimer for our affiliate disclosure.