Home / Alternatives to Sift: Shared Family Cookbook Apps Like Sift: Shared Family Cookbook for iPhone and iPad
by Ruixue Sun ★ 5.0 7 ratings Food & Drink Free Data updated 2026-09-06
Ranked alternatives Showing 421–440 of 1,000 ranked alternatives.
Chee Kiang Peh
★ 0.0 0 ratings Lifestyle Free Data updated 2026-09-06
michael tarkoff
★ 5.0 1 ratings Social Networking Free Data updated 2026-09-06
Futuristic Labs Private Limited
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
Adhvith Dhuddu
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
COOK1COOK COMPANY LIMITED
★ 1.0 1 ratings Food & Drink Free Data updated 2026-09-11
Gary Mason
★ 5.0 1 ratings Food & Drink $4.99 Data updated 2026-10-15
Jobin Abraham
★ 4.7 7 ratings Food & Drink Free Data updated 2026-09-06
Bin Gu
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Cloud Crowd Labs Inc
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Lalo LLC
★ 5.0 6 ratings Food & Drink Free Data updated 2026-09-06
Stefan Milenkovic
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
11978853 CANADA INC.
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Zhejiang Tianluo Kitchenidea Technology Co., Ltd.
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Technikon Labs LLC
★ 5.0 6 ratings Food & Drink Free Data updated 2026-09-06
Luz Ochoa
★ 1.0 1 ratings Food & Drink Free Data updated 2026-09-06
Gabriel Lupu
★ 2.0 4 ratings Food & Drink Free Data updated 2026-09-09
David Hagens
★ 5.0 7 ratings Food & Drink Free Data updated 2026-09-06
Deglaze Corp.
★ 4.6 15 ratings Food & Drink Free Data updated 2026-09-06
Kitchen Copilot Inc.
Plan meals, search recipes, create grocery lists,
Plan meals weekly or monthly. Search for recipes and import existing ones. Create or generate grocery lists. Get cooking tips and recommendations. Share recipes and meal plans with others.
★ 5.0 7 ratings Food & Drink Free Data updated 2026-09-06
ZAC SWALLING
★ 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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