Build a Workout Tracker Suite: Day 2- Workout Logger with Live Charts

Today we’re adding workout logging with live progress charts!

Projects in this week’s series:

This week, we build a Workout Tracker Suite that helps you log lifts, visualize progress, and optimize your training — perfect for anyone serious about strength training!

• Day 1: Barbell Plate Calculator (Tkinter GUI)

• Day 2: Workout Logger with Live Charts (Today)

• Day 3: Complete Workout Dashboard

View All Projects This Week

Today’s Project

Yesterday we built a plate calculator. Today we’re adding workout logging with live progress charts! Log your sets, track your PRs, and see your strength gains visualized in real-time!

You’ll enhance the app into a complete training tracker with embedded matplotlib charts!

Project Task

Enhance the plate calculator with workout logging:

• Log exercises with sets, reps, weight, and RPE

• Save workouts to CSV with timestamps

• Live progress chart showing weight over time

• Personal records (PR) tracker

• Exercise history viewer

• Volume calculations (sets × reps × weight)

• Filter by exercise and date range

• Embedded matplotlib charts in Tkinter

• All Day 1 features still work

This project gives you hands-on practice with CSV data storage, pandas data analysis, matplotlib integration in Tkinter, data visualization, progressive overload tracking, and building data-driven fitness tools — essential skills for analytics applications!

Expected Output

Running the enhanced workout logger:

python workout_logger.py

Log a workout:

In this version the user can log in a workout such as bench press, squat, etc. These can be chosen from the drop down list:

After some days, you will see a weight progress at the bottom part of the GUI showing how your weights have changed over time:

CSV file generated:

Every time you log in a workout, the data are saved in a local workouts.csv file. For the example demonstrated above, here is how the file looks like:

date,time,exercise,sets,reps,weight,rpe,volume
2026-05-13,14:30:00,Bench Press,3,8,225,8,5400
2026-05-13,14:45:00,Squat,4,6,315,9,7560
2026-05-13,15:00:00,Deadlift,3,5,405,9,6075
2026-05-10,15:15:00,Bench Press,4,6,215,7,5160
2026-05-10,15:30:00,Squat,3,8,295,8,7080

Setup Instructions

Install Required Package:

pip install matplotlib pandas

Run the logger:

python workout_logger.py

Data storage:

• Workouts saved to workouts.csv automatically

• PRs tracked automatically

• Charts update in real-time

Understanding CSV Workout Storage

Why CSV for workouts?