If You Like Un monstre à Paris(2011)
Based on real preference data from thousands of voters, here's what fans of Un monstre à Paris also love. Use these connections to discover your next favorite.
91 connections found
#192xThe Book of Life
2014
#281xSong of the Sea
2014
#363xParaNorman
2012
#456xCloudy with a Chance of Meatballs 2
2013
#556xThe Lorax
2012
#650xMonster House
2006
#750xRobots
2005
#842xMadagascar: Escape 2 Africa
2008Monsters vs. Aliens
2009
#1041xThe Prince of Egypt
1998
#1140xIce Age: Dawn of the Dinosaurs
2009
#1240xRise of the Guardians
2012
#1339xThe Road to El Dorado
2000
#1439xMeet the Robinsons
2007
#1538xBrother Bear
2003
#1638xThe Croods
2013
#1737xThe Hunchback of Notre Dame
1996
#1836xThe Princess and the Frog
2009
#1935xTreasure Planet
2002
#2035xKung Fu Panda 2
2011
#2134xDespicable Me 2
2013
#2233xBolt
2008
#2333xHotel Transylvania
2012
#2431xAtlantis: The Lost Empire
2001
#2531xThe Iron Giant
1999
#2630xCloudy with a Chance of Meatballs
2009
#2730xMonsters University
2013
#2830xJames and the Giant Peach
1996
#2929xEnchanted
2007
#3029xMegamind
2010
#3129xLilo & Stitch
2002
#3229xPocahontas
1995
#3328xTarzan
1999
#3425xHow to Train Your Dragon 2
2014
#3524xMoana
2016
#3624xHercules
1997
#3724xWreck-It Ralph
2012
#3823xThe Little Mermaid
1989
#3923xBrave
2012
#4023xA Bug's Life
1998
#4122xThe Emperor's New Groove
2000
#4222xMadagascar
2005
#4320xCoraline
2009
#4420xThe Addams Family
1991
#4520xCorpse Bride
2005
#4619xZootopia
2016
#4719xCharlie and the Chocolate Factory
2005
#4819xMulan
1998
#4918xAlice in Wonderland
2010
#5017xAladdin
1992
#5117xThe Chronicles of Narnia: The Lion, the Witch and the Wardrobe
2005
#5216xToy Story 2
1999
#5316xKung Fu Panda
2008
#5416xFrozen
2013
#5515xDespicable Me
2010
#5615xHow to Train Your Dragon
2010
#5714xToy Story 3
2010
#5814xBig Hero 6
2014
#5914xThe Nightmare Before Christmas
1993
#6014xInside Out
2015
#6113xHowl's Moving Castle
2005
#6213xMy Neighbor Totoro
1990
#6313xPrincess Mononoke
1997
#6413xThe Incredibles
2004
#6512xRatatouille
2007
#6612xBeetlejuice
1988
#6711xHarry Potter and the Half-Blood Prince
2009
#6811xThe Lion King
2019
#6911xHarry Potter and the Order of the Phoenix
2007El laberinto del fauno
2006
#7110xHarry Potter and the Goblet of Fire
2005
#7210xHarry Potter and the Prisoner of Azkaban
2004
#7310.0xHarry Potter and the Chamber of Secrets
2002
#749.9xMonsters, Inc.
2001
#759.6xEdward Scissorhands
1990
#769.5xPirates of the Caribbean: Dead Man's Chest
2006
#779.1xShrek
2001
#789.0xFinding Nemo
2003
#798.6xSpirited Away
2001
#808.1xMen in Black
1997
#817.9xUp
2009
#827.3xJurassic Park
1993
#836.3xDeadpool
2016
#846.3xPirates of the Caribbean: The Curse of the Black Pearl
2003
#856.2xThe Hunger Games
2012
#866.0xAvatar
2009
#875.5xGuardians of the Galaxy
2014
#885.4xBack to the Future
1985
#895.4xThe Lord of the Rings: The Fellowship of the Ring
2001
#903.9xForrest Gump
1994
#913.9xThe Matrix
1999How does this work?
These recommendations are based on real voting data, not algorithms. When thousands of people vote on their favorites, patterns emerge — people who love Un monstre à Paris consistently tend to also love certain other things. The "strength" score shows how much more likely fans of Un monstre à Paris are to enjoy each recommendation compared to the average person.
Unlike algorithmic recommendations, these connections come from actual human preferences. A high strength score means the connection is genuine — not just because two items share a category, but because the same people genuinely love both.