Strength in perspective
Explore exercise progression, estimated strength, training volume, and muscle-group trends across Gravl workouts and Hevy history.
A personal software project
Your training has a history.
See the whole map.
Strength, health, and nutrition trends—connected in one local-first dashboard.
Take a closer look
Sources
Apple Health · Gravl · Hevy
Built with
Python · SQLite
Designed around
Local use · Data ownership
Inside the app
Follow the work.
Understand the context.
Bring the long view of health history together with the detail of exercises, sets, and personal records.
A longer view of health
Connect Apple Health history and monthly snapshots with weight, body composition, and activity trends.
Nutrition with nuance
Look at logged intake alongside training. Missing food logs stay unknown rather than becoming zero.
Strength training
More than the last workout.
View progress over time, explore the exercises behind it, and see how training volume changes across muscle groups.
Exploratory cross-signal correlations help surface patterns. They never establish cause and effect.
Logged nutrition
The gaps matter, too.
Food logging is an incomplete record. Training Atlas preserves that distinction, showing logged nutrition without assuming that an untracked day means no intake.
Built on trust
Your data stays yours.
Runs locally
A lightweight Python application and SQLite database keep the system straightforward.
Preserves the source
Historical imports and immutable monthly snapshots retain the records behind the trends.
Makes conflicts visible
Conflicting records are flagged rather than silently rewriting history.
Things in progress
A clearer picture, one iteration at a time.
Training Atlas is a personal project under active development.