Just made LiftTrace public after months of development. It’s a self-hosted weightlifting / training log that runs in a single Docker container on your own hardware, with a PWA frontend and a signed Android APK. Sister app to NutriTrace under the same TraceApps umbrella.

What it does:

• Diary with sets, reps, RPE, warm-up flagging, supersets, rest timer
• Smart Add — type or speak your workout (“bench 3x5 @ 225, A1: curls 3x12, A2: pushdowns 3x12”) and the AI parses it into structured sets
• Programs with mesocycles, weekly templates, coach prescriptions for trainer / athlete pairs
• Exercise library seeded from wger + Free Exercise DB (~1,500 exercises with images), plus your own custom uploads
• Statistics: volume, PRs, frequency heatmap, body weight trends
• OIDC SSO for Authentik, Keycloak, Pocket ID, Authelia, Auth0, Google, etc.
• Workout History Import from Strong, Hevy, FitNotes, and Jefit CSVs (so you don’t lose your history switching over)
• Radio player built in for Subsonic / Jellyfin / Plex / Emby plus internet stations (because lifting and lockscreen media controls > switching apps mid-set)
• AI coach with live workout context — bring your own Claude / OpenAI / Gemini key, or point it at Ollama / LM Studio / any OpenAI-compatible endpoint
• Android app with offline-first SQLite, biometric sign-in, native ExoPlayer, optional WorkManager reminders

Self-hosted principles:

• AGPL-3.0, source is open, no telemetry, no central server, no analytics, no cloud sync to anybody else
• Single Docker container + bind-mounted volumes for DB and uploads
• Your data stays on your hardware. Back up with cp, restore with cp.

Quick start:

services:
  lifttrace:
    image: ghcr.io/traceapps/lifttrace:latest
    ports: ["3002:3003"]
    volumes:
      - ./data/db:/data/db
      - ./data/uploads:/data/uploads
    environment:
      - DB_PATH=/data/db/lifttrace.db
      - UPLOADS_PATH=/data/uploads
      - JWT_SECRET=change-me