PAIesque vs Timed Silence - Don't let your phone rattle you!
Side-by-side comparison of two open source alternatives
PAIesque
PAIesque helps athletes and fitness enthusiasts monitor their training through a simple three-step logic: 1. Measure training impulse (TRIMP) — The faster and longer your heart beats, the higher your daily score. 2. Analyze patterns over time — Track how your TRIMP accumulates and distributes 3. Monitor your body's response — Compare how your body reacts to training load PAIesque is different from commercial fitness apps (e.g. Garmin, Whoop, Polar). Every metric comes from published, peer-reviewed research with transparent methods that can be calculated from heart rate data alone. The app only includes metrics we can verify and reproduce from first principles — no proprietary black boxes, no undisclosed algorithms. And, all your data stays on your device. 1. TRIMP: • Banister TRIMP — The original exponential model with sex-specific coefficients (a=0.64/0.86, b=1.92/1.67) [Banister, 1991; Morton et al., 1990] • iTRIMP — Individualized TRIMP with customizable b coefficient (1.5-4.0) [Stagno et al., 2007; Akubat et al., 2012] • LT-TRIMP — Lactate Threshold-based model with β coefficient (0.04-0.11) and smooth transition at LT [Cheng et al., 1992; Mader et al., 1976; Gaesser and Poole, 1986] • PAI-esque — PAI-inspired metric using EWMA (not the official commercial algorithm) [Nes et al., 2017; Kieffer et al., 2021] 2. Patterns over time: • Intensity zones — Time and TRIMP spent in low/moderate/high zones (polarized training model) [Seiler and Tønnessen, 2009; Stöggl and Sperlich, 2014] • EWMA — Exponentially Weighted Moving Average for rolling loads (more sensitive than simple averages) • ACWR — Acute:Chronic Workload Ratio for injury risk monitoring (0.8-1.3 = sweet spot) [Murray et al., 2017; Griffin et al., 2021; Gabbett, 2016] • Polarized Training Score — 0-100 measure of how closely your distribution matches your targets 3. Body's response: • Resting Heart Rate (RHR) — Calculated from your defined sleep window (adaptive percentile: 5th-15th) • Heart Rate Variability (HRV) — Daily RMSSD averages during sleep [Task Force, 1996; Plews et al., 2013; Buchheit, 2014] • EWMA trends — Exponentially weighted moving averages for both RHR and HRV (acute and chronic windows) • Combined interpretation — RHR ↓ + HRV ↑ = positive adaptation; RHR ↑ + HRV ↓ = possible fatigue Data Management: • CSV export/import • Complete backup/restore (db) • All data stays on your device — no accounts, no cloud uploads, no tracking Creative Use Cases: • Coach analyzing athletes — Import athlete exports, analyze charts, provide feedback • Research analysis — Export CSV files for custom analysis in R, Python, or spreadsheets • Switch between athletes — Use "Delete All Data" + CSV import to analyze multiple individuals Requirements: • Google Health Connect installed on your device • Heart rate (and HRV) data in Health Connect from your wearable device (Gadgetbridge, Garmin, Polar, Samsung, etc.) • Android 8.0 (API 26) or higher Note on PAI: Our PAI-esque implementation is NOT the official commercial PAI® algorithm (which is proprietary). It uses EWMA and scaled TRIMP values to provide a similar intensity-weighted weekly score. The 100 PAI target remains the evidence-based health outcome from the HUNT Study research.
Timed Silence - Don't let your phone rattle you!
An app that manages your phones volume. It will mute your phone for you, so that you never get disturbed when doing important things! Time Create schedules for when your phone should be muted or loud Calendar Let your calendar manage the volume for you. Depending on events, your phone will be silent! Keywords If you have specific events, keywords will help you get the silence you need! Bluetooth When a bluetooth device connects, your phone can react to it! Sanity Check Just so that you don't miss anything important, we have a checkup that you can use to verify your settings!
| Feature | PAIesque | Timed Silence - Don't let your phone rattle you! |
|---|---|---|
| License | MIT | GPL-3.0-only |
| Install sources | F-Droid | F-DroidGitHub |
| Categories | ProductivityFitnessMessaging | ProductivityFitnessMessagingCalendar |
| Features | Ad-FreeOpen SourceNo Tracking | Ad-FreeOpen SourceNo Tracking |
| Platforms | Android | Android |
| Website | ||
| Source code |