
If You Like Only Yesterday(1991)
Based on real preference data from thousands of voters, here's what fans of Only Yesterday also love.
120 connections found
Kaguyahime No Monogatari
2013
#2172xFrom Up on Poppy Hill
2011
#3160xWhen Marnie Was There
2015
#4154xWhisper of the Heart
2019
#5111xThe Wind Rises
2014Kurenai No Buta
1992Tôkyô goddofâzâzu
2003
#880xWolf Children
2012
#979xSummer Wars
2009
#1077xThe Secret World of Arrietty
2012
#1174xCastle in the Sky
2008
#1270xThe Girl Who Leapt Through Time
2006
#1363xSong of the Sea
2014
#1459xGrave of the Fireflies
1989
#1547xPonyo
2009
#1642xYour Name.
2016
#1740xPaprika
2007
#1837xKiki's Delivery Service
2014
#1932xMy Neighbor Totoro
1990
#2027xPrincess Mononoke
1997
#2126xThe Iron Giant
1999
#2221xHowl's Moving Castle
2005
#2320xThe Road to El Dorado
2000
#2419xAtlantis: The Lost Empire
2001
#2517xSpirited Away
2001
#2616xLilo & Stitch
2002
#2713xFantastic Mr. Fox
2009
#2813xCoraline
2009
#2912xMulan
1998
#3011xMoonrise Kingdom
2012El laberinto del fauno
2006
#3211xBrave
2012
#3311xCharlie and the Chocolate Factory
2005
#3411xCorpse Bride
2005
#3511xToy Story 2
1999
#3611xThe Nightmare Before Christmas
1993
#379.9xBeetlejuice
1988
#389.3xBig Fish
2004
#399.3xToy Story 3
2010
#408.6xInside Out
2015
#418.6xLost in Translation
2003
#428.5xHow to Train Your Dragon
2010
#438.4xAladdin
1992
#448.4xRatatouille
2007
#458.3xBlade Runner
1982
#468.3xThe Incredibles
2004
#478.2xAmélie
2001
#488.2xEdward Scissorhands
1990
#497.8xGroundhog Day
1993
#507.6x2001: A Space Odyssey
1968
#517.5xThe Grand Budapest Hotel
2014
#527.5xDespicable Me
2010
#537.5xToy Story
1995
#547.4xJuno
2007
#557.3xBack to the Future Part II
1989
#567.2xBig Hero 6
2014
#577.2xFinding Nemo
2003
#587.2xIndiana Jones and the Last Crusade
1989
#597.1xDead Poets Society
1989
#607.1xThe Princess Bride
1987
#617.1xShrek
2001
#627.0xMonsters, Inc.
2001
#637.0xHot Fuzz
2007
#647.0xAlien
1979
#657.0xUp
2009
#666.9xBlack Swan
2010
#676.8xHer
2014
#686.7xLittle Miss Sunshine
2006
#696.7xThe Shining
1980
#706.7xArrival
2016
#716.6xThe Fifth Element
1997
#726.6xShaun of the Dead
2004
#736.5xFargo
1996
#746.5xMad Max: Fury Road
2015
#756.4xScott Pilgrim vs. the World
2010
#766.4xWALL·E
2008
#776.1xThe Breakfast Club
1985
#786.1xMen in Black
1997
#795.7xTrainspotting
1996
#805.7xThe Truman Show
1998
#815.7xHarry Potter and the Chamber of Secrets
2002
#825.6xHarry Potter and the Prisoner of Azkaban
2004
#835.6xGone Girl
2014
#845.5xHarry Potter and the Goblet of Fire
2005
#855.5xThe Lord of the Rings: The Fellowship of the Ring
2001
#865.3xThe Lord of the Rings: The Return of the King
2003
#875.2xThe Lord of the Rings: The Two Towers
2002
#885.1xBack to the Future
1985
#895.1xJurassic Park
1993
#905.1xThe Sixth Sense
1999
#915.1xThe Big Lebowski
1998
#925.0xZombieland
2009
#935.0xThe Silence of the Lambs
1991
#944.8xThe Avengers
2012
#954.5xDonnie Darko
2001
#964.5xEternal Sunshine of the Spotless Mind
2004
#974.4xDeadpool
2016
#984.4xAmerican Psycho
2000
#994.3xGuardians of the Galaxy
2014
#1004.2xRequiem for a Dream
2000
#1014.2xV for Vendetta
2006
#1024.1xReservoir Dogs
1992
#1034.1xGood Will Hunting
1998
#1044.0xPirates of the Caribbean: The Curse of the Black Pearl
2003
#1054.0xAmerican History X
1998
#1064.0xForrest Gump
1994
#1073.9xInglourious Basterds
2009
#1083.9xBatman Begins
2005
#1093.9xThe Matrix
1999
#1103.8xSe7en
1995
#1113.7xShutter Island
2010
#1123.6xThe Shawshank Redemption
1994
#1133.6xIron Man
2008
#1143.6xInterstellar
2014
#1153.6xThe Dark Knight
2008
#1163.6xCatch Me If You Can
2003
#1173.4xPulp Fiction
1994
#1183.4xDjango Unchained
2012
#1193.3xInception
2010
#1203.2xFight Club
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 Only Yesterday consistently tend to also love certain other things. The "strength" score shows how much more likely fans of Only Yesterday 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.