Best open bars Prague (CZ) near you

Popular days & hours to visit bars in Prague Czechia that are open nearby you - Avoid empty bars and enjoy the perfect night out.

Adjust the filters to find for example your desired busy, quiet, expensive, or highly rated bars.

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Café V lese (Bar)
Krymská 12 101 00 Praha 10-Vršovice Czechia
4.5

Café V lese is most popular around 10 PM on Saturdays. Visitors usually stay 2-4 hours here. It's most quiet on Sundays.

For more info visit the website or checkout Google Maps.

Hospoda v Lucerně (Beer)
Vodičkova 36 110 00 Nové Město Czechia
4.3

Hospoda v Lucerně is most popular around 11 PM on Fridays. Visitors usually stay 10 min to 2 hr here. It's most quiet on Wednesdays.

For more info visit the website or checkout Google Maps.

Steampunk Prague (Clubs)
V Kolkovně 920/5 110 00 Staré Město Czechia
4.4

Steampunk Prague is most popular around 11 PM on Fridays. Visitors usually stay 1-3 hours here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

Bašta neighborhood brewery (Beer)
Táborská 389/49 140 00 Praha 4-Nusle Czechia
4.6

Visitors usually stay 30 min to 2,5 hr here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

The James Joyce (Beer)
U Obecního dvora 794/4 110 00 Staré Město Czechia
4.6

The James Joyce is most popular around 8 PM on Saturdays. Visitors usually stay 1-3 hours here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

Friends Prague (Clubs)
Bartolomějská 11, 110 00 Staré Město, Czechia
3.7

Friends Prague is most popular around 11 PM on Saturdays. Visitors usually stay 1,5-4 hours here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

Missing venues? This is a free, but limited tool. Use the BestTime software get more world wide foot traffic data in Prague, Czechia. Filter points of interest (venues) on foot traffic levels, day, time, dwell time, location, ratings, etc. BestTime provides retail foot traffic and foot traffic analytics.