Apps Like Femilog® Menopause Tracker for iPhone and iPad
Femilog® Menopause Tracker screenshots
Ranked alternatives
Showing 341–360 of 1,000 ranked alternatives.
Migraine Tracker : Easy Diary
Mamta Shah
Track migraines and log symptoms quickly
Log events with quick entry options. View summary of past migraines including onset time, intensity, triggers, symptoms, duration, and remedies. Analyze patterns to identify recurring triggers and effective remedies.
Elate: Women's Weight Loss 40+
Breakthrough Apps
Track progress and manage diet plans
Track progress with weekly weigh-ins and body measurements. Access expert-led workout routines and nutrition plans. Set personalized goals and receive daily motivational prompts. Sync data across devices and view detailed analytics.
Period Tracker - Cycle Log App
Deebex Tech Ltd.
Track dates and view health data
Track menstrual cycles with detailed date tracking for periods, ovulation, and fertile days. Forecast ovulation and periods using predictive analytics. Review past cycles for pattern analysis. View data in charts and calendar format.
ClusterUck
S.J.M. Kolff
Track headaches and log symptoms
Track headache episodes with detailed logging of attack duration, pain location, and triggers. Log symptoms and medication use. Generate reports and set reminders for treatment adherence. Sync data across devices for consistent monitoring.
olivia health
Tempus AI, Inc.
Record medical history and sync with providers
Access medical records from over 19,000 institutions in real time. Manually retrieve records if your system is not supported. Use AI to search, summarize, and provide personalized insights from data. Track symptoms and medications.
Lasa Health
Amie Health Inc.
Track symptoms and manage pain
Learn about endometriosis symptoms, causes, and treatment options. Track pain levels and menstrual cycles. Set reminders for medications and appointments. Share notes with healthcare providers. Connect with others for support and guidance.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.