Best open nightclubs Vilnius (LT) near you

Nightclub crowd levels in Vilnius Lithuania . Find open nightclubs near you. Avoid empty clubs & enjoy the perfect night out at the popular times.

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

AI
Opium Club (Clubs)
Islandijos g. 4 01401 Vilnius Lithuania
2.8

Visitors usually stay 1-3,5 hours here.

For more info visit the website or checkout Google Maps.

Metelica, naktinis klubas (Clubs)
Vokiečių g. 2 01130 Vilnius Lithuania
2.1



For more info visit the website or checkout Google Maps.

Soho Club (Clubs)
Švitrigailos g. 7 03110 Vilnius Lithuania
4.2

Visitors usually stay 1,5-4 hours here.

For more info visit the website or checkout Google Maps.

Mazzor Night Club (Clubs)
T. Ševčenkos g. 16i 03111 Vilnius Lithuania
3.4



Лучшая русская музыка в европейском звучании от Dj Sergio & Mr.Che. MAZZOR дарит бесплатный вход до 01:00. Приветливый персонал клуба - это наша гордость и ваш уют. Мы с уважением относимся к нашим клиентам и заботимся о комфорте и безопасности. Охрану в нашем клубе обеспечивают настоящие профессионалы. Отдыхайте ярко! Отдыхайте с Mazzor'ом! Резервация столиков тел: +370 655 50355 Наш адрес: T. Ševčenkos g. 16i, Vilnius. Соблюдается возрастной формат 21+, Face Control, Dress Code.

For more info visit the website or checkout Google Maps.

Salento Night Club (Clubs)
A. Vienuolio g. 4 Vilnius 01104 Vilniaus m. sav. Lithuania
3.1



Friendliest, Largest, Longest Running Night Club in Vilnius. New management, very friendly, welcomes everyone from all over the world, young and young at heart. LGBT+ friendly. Dance the night away! A real Vilnius legend. Come for the experience!

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 Vilnius, Lithuania. 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.