Home / Alternatives to Noesis Apps Like Noesis for iPhone and iPad
by Ramazan Yilmaz ★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Ranked alternatives Showing 161–180 of 420 ranked alternatives.
kamami
Locate kosher shops across France.
The app locates kosher shops in France, including restaurants, caterers, and bakeries. Users can view shop details, call businesses directly, and access lists of kosher products.
★ 3.4 9 ratings Food & Drink Free Data updated 2026-09-13
Aykut AYYILDIZ
★ 5.0 2 ratings Shopping Free Data updated 2026-09-06
Orion Pos Sistemleri Ltd Sti
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-26
Orion Pos Sistemleri Ltd Sti
★ 0.0 0 ratings Food & Drink Free Data updated 2026-10-04
YUPPI TEKNOLOJI ANONIM SIRKETI
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Kadir Demiral
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
KUBILAY BEKTAS
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Yasyl ada, HJ
★ 4.0 2 ratings Food & Drink Free Data updated 2026-09-06
Furkan Kaplan
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Ali Celebi
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Rihef Yazilim ve Danismanlik Limited Sirketi
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Uygar Bayindir
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Altinkiliclar Kahve Kakao Urunleri Ticaret Ve Sanayi Anonim Sirketi
★ 4.7 42 ratings Food & Drink Free Data updated 2026-09-14
BMB BILISIM TICARET VE SANAYI A.S.
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
JR Apps Pty. Ltd.
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-23
ED Services
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-24
Anna Heenan
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
HERIOTS ONLINE LIMITED
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Yusuf UZAN
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
okan vatanci
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
How we rank alternatives Apps are ranked by functional similarity, category fit, rating confidence, and popularity.
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