Best restaurants Panevėžys (LT)
Popular restaurants and hours for eating in Panevėžys Lithuania : Secure a table before rush hour at the most popular restaurants.
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Grill London (Restaurant)
Vakarinė g. 61 Panevėžys 37370 Panevėžio m. sav. LithuaniaGrill London is most popular around 1 PM on Saturdays. Visitors usually stay 25 min to 1 hr here. It's most quiet on Tuesdays.
For more info visit the website or checkout Google Maps.
Čili Pizza Restaurant (Pizza restaurant)
Laisvės a. 5 Panevėžys 35183 Panevėžio m. sav. LithuaniaČili Pizza Restaurant is most popular around 2 PM on Sundays. It's most quiet on Thursdays.
Charlie Pizza (Pizza restaurant)
Vakarinė g. 61 Panevėžys 37189 Panevėžio m. sav. LithuaniaCharlie Pizza is most popular around 2 PM on Saturdays. It's most quiet on Mondays.
For more info visit the website or checkout Google Maps.
Tėtušio Kebabai & Pica (Pizza restaurant)
A. Smetonos g. 22 Panevėžys 35185 Panevėžio m. sav. LithuaniaTėtušio Kebabai & Pica is most popular around 4 PM on Fridays. Visitors usually stay 15 min here. It's most quiet on Sundays.
For more info visit the website or checkout Google Maps.
Restoranėlis „Bisas“ (Restaurant)
Laisvės a. 6 Panevėžys 35183 Panevėžio m. sav. LithuaniaRestoranėlis „Bisas“ is most popular around 12 PM on Tuesdays. Visitors usually stay 30 min to 1,5 hr here. It's most quiet on Sundays.
For more info visit the website or checkout Google Maps.
Pizza di Napoli (Pizza restaurant)
Respublikos g. 19-1 Panevėžys 35174 Panevėžio m. sav. LithuaniaPizza di Napoli is most popular around 5 PM on Saturdays. Visitors usually stay 30 min to 1,5 hr here. It's most quiet on Wednesdays.
Dirbame, nuo 2014m. liepos 18d.;
PICA, KEPTA MALKOMIS KŪRENAMOJE KROSNYJE
For more info visit the website or checkout Google Maps.
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Missing venues? This is a free, but limited tool. Use the BestTime software get more world wide foot traffic data in Panevėžys, 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.