Home / Alternatives to Springfield Apps Like Springfield for iPhone and iPad
by CHICAR SRL ★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Ranked alternatives Showing 81–100 of 1,000 ranked alternatives.
DYLOG ITALIA SPA
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Penelope S.r.l.
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
REVOLUTION FOOD'S SRL SEMPLIFIC
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Mondadori Digital SPA
Find recipes, watch video recipes, listen
Access recipes, videos, and audio guides for Italian cooking. Filter by meal type and occasion. Receive daily recipe notifications. Track nutritional information and ingredient substitutions. Save and share favorite recipes.
★ 4.7 372 ratings Food & Drink Free Data updated 2026-09-08
CassaNova SRL
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
3S Srl
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Fratelli Masiello S.r.l.
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Dioscuri srl
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Vincenzo Cassano
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Arcangelo Pazienza
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Alexander srl
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
TNX srl
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
BURGER'S HOUSE DI AIOLFI LILIANA
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Petrosino Mattia
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Mattia Guariglia
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
DYLOG ITALIA SPA
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
STRATEGYFOR SRL
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
STRATEGYFOR SRL
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
PIN APP SRL SEMPLIFICATA
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
STRATEGYFOR SRL
★ 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.
Previous Next