Home / Alternatives to ForgiveApp Apps Like ForgiveApp for iPhone and iPad
by Gerald Lombardo ★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Ranked alternatives Showing 901–920 of 1,000 ranked alternatives.
Sarath S Menon
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Niyazi Kilic
★ 0.0 0 ratings Lifestyle Free Data updated 2026-09-06
PAOLO PIANA
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
AKlaus Tecnologia LTDA
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Francesca Finetti
★ 0.0 0 ratings Lifestyle Free Data updated 2026-09-06
Sabih Hida Tahir
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Monali Paghadal
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Arda OZCAN
★ 0.0 0 ratings Lifestyle Free Data updated 2026-09-06
THREE CIRCLES PSYCHOLOGY PTY LTD
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
ANDREA RUIZ
★ 0.0 0 ratings Education Free Data updated 2026-09-06
Edgeway Software
★ 0.0 0 ratings Lifestyle Free Data updated 2026-09-06
Ruby Management Services LLC
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Chanchal Kohli
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Daily Dose of Dee (Apps)
★ 0.0 0 ratings Lifestyle Free Data updated 2026-09-06
Troy Fields
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
PsycheVita Limited
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Erik Kiralj
Log , track activities, get insights
Log entries with a single tap. Track daily activities and emotional patterns. Receive AI-generated insights and reflections. Set reminders for self-care. Sync data across devices. Export journal entries for review.
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
App Roots
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Venkata Namala
★ 0.0 0 ratings Lifestyle Free Data updated 2026-09-06
Moanna-Marie Zacher
★ 0.0 0 ratings Health & Fitness 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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