Behind the scenes
How does it work?
DLPTime shows the current wait for every ride and uses AI to estimate when it will be shorter. Here is, simply, how it works.
Hi, I'm Benjamin
I'm the publisher of DLPTime. I originally built this site for my own days at Disneyland Paris: I was tired of jumping between five apps that all show the same queue without telling me whether it's about to rise or drop.
DLPTime tries to answer one simple question: "is it the right moment to go, or should I wait?" Here's, honestly, how I do it.
Where the data comes from
Everything comes from public sources. No personal data is used.
Wait times
read every 5 minutes from ThemeParks.wiki, which relays the times shown by Disneyland Paris.
Weather
temperature, rain, clouds and wind over the park, from Open-Meteo.
School holidays
school holidays in France, the UK and Belgium, where most visitors come from.
Premier Access
its price moves with the crowds Disney expects: a good hint of what's coming.
Special events
Halloween, Christmas, park anniversaries, new rides, announced closures.
Every reading is kept. Since February 2026 that adds up to months of past days, ride by ride: that is what the AI learns from.
How the AI predicts waits
A ride doesn't follow a simple rule like "quiet in the morning, busy in the afternoon". Everything matters: the day of the week, holidays, weather, something new, the ride itself.
An artificial intelligence learns these habits from past days, then estimates the wait for the coming hours. It learns again every night with the previous day's data. My job: give it good data and check it isn't wrong.
Every day at the park is different. The AI spots what repeats from one day to the next, far better than a hand-written rule.
What the AI looks at
For each ride, it takes several clues into account:
Recent wait
01the wait over the last hours, and whether it is rising or falling.
Time and day
02morning or evening, weekday or weekend.
Crowds in the park
03the average wait across the whole park at the same time.
Local weather
04temperature, rain, clouds, wind. Rain changes everything, especially for outdoor rides.
School holidays
05France, UK, Belgium. A holiday Tuesday is nothing like a school Tuesday.
Premier Access
06its price follows the crowds Disney expects: a precious clue.
Events and seasons
07Halloween, Christmas, anniversaries, new rides: every season has its habits.
How these clues are combined, ride by ride, is DLPTime's secret recipe.
Limits, because honesty matters
These are estimates, not promises. A ride can break down or open early without notice, and some days are out of the ordinary.
The further ahead, the less precise. For the next few hours it's fairly reliable; for the whole day it's mostly a trend.
Newer rides still have little history: the AI is still learning.
I predict waits, not magic. A packed day can be wonderful, a quiet one can be rainy.
An indie project, no ads
DLPTime is a personal project, not linked to The Walt Disney Company. No ads, no data resale: just anonymous audience measurement. The AI learns again every night.
How to support the project
If you find the site useful, the best way to support it is to share it. And to tell me what works or doesn't, I read everything.
GO DEEPER
The attraction-by-attraction guide
For every ride: the usually calmest window, the peak hour and reliability, refreshed every night.