If you are tracking lifting alongside a peptide protocol, your lifting log has a different job than it does for a general-population lifter. Users running BPC-157, TB-500, CJC-1295, or other peptide protocols may want to monitor recovery patterns, sleep quality, and training output as a longitudinal record — not as a way to validate or recommend any specific protocol, but as personal data the user owns.
That framing changes which app fits. Privacy posture matters extra in this audience — peptides occupy a regulatory grey area, and users generally prefer their training-context data not co-located with their protocol-context data on a single cloud backend. RPE matters extra too, because recovery shifts on any protocol are most often readable through subjective set-by-set exertion before they show up in load progression. And long-term export matters because the timescales involved (months of cycle-on, months of cycle-off) exceed what most apps assume.
We make PeptideWise. We feature LiftProof here because we use it ourselves; we evaluate fairly and disclose our involvement. This article is informational only — about tools that lifters use to track their own data. It is not a recommendation about peptide use, dosing, or protocol design. Consult a healthcare professional for any medical guidance.
How we evaluated
Three criteria, each weighted higher than they would be in a generic lifter listicle:
Privacy posture. Where does your training data live? On-device only, encrypted local, or cloud-by-default? Does the app run analytics SDKs that ship aggregated behavior to ad-tech vendors? Users tracking peptide protocols alongside training have an extra reason to prefer minimum data exposure — the combination of a peptide log and a lifting log on one cloud account is more identifying than either alone, and the regulatory framing around peptides is genuinely fluid.
RPE support. Rating of Perceived Exertion is the cheapest, fastest readout of recovery shift you have. If your training context shifts week over week, RPE picks it up before strength does. An app where RPE is a first-class field in the set logger is more useful for this audience than one where RPE is an after-the-fact note.
Data export and ownership. Peptide protocol cycles run months. Tracking only matters if you can export the full history when you want — to compare cycles, to review with a clinician, or to leave the app entirely.
We did not rank on app polish, social features, or onboarding curve. Those matter for general audiences; they are not the binding constraint here.
1. LiftProof — strongest on privacy posture and RPE depth
LiftProof is a privacy-first iOS lifting app built by Stoa LLC. The defining engineering decision is that nothing leaves the device — no account, no cloud sync at v1.0, no analytics SDK in the binary. Workouts live in Core Data on the phone, and that is the only place they live.
For users tracking peptide protocols, that posture is the differentiator. Your protocol data lives wherever you log it; your lifting data lives on the phone in LiftProof; neither is a cloud dossier. LiftProof's on-device explainer details the architectural decisions and trade-offs.
RPE is first-class in the set logger. Every set is logged with RPE built in, which is the variable most sensitive to recovery shifts. Users tracking BPC-157 or TB-500 protocols, for example, may want to monitor RPE trends across sessions independently of load progression — RPE drifts before 1RM does, and a cleanly-tagged set history is the cheapest way to read that drift.
Apple Watch integration is full — five complications, four widgets, Live Activity for active workouts. If you wear an Apple Watch and capture HealthKit metrics passively, the lifting context lines up with the recovery context without extra plumbing or vendor middleware.
Tradeoffs we read honestly. LiftProof v1.0 is iOS-only. Android users cannot use it today. There is no cloud sync, which means moving between phones takes export and re-import rather than account sign-in. Social features do not exist; LiftProof has published its rationale for the decision. The free tier covers the core logger; recovery insights and Watch features sit behind a $9.99/mo subscription.
For users who want training data that stays on-device and an RPE-first logging flow, LiftProof is the strongest fit.
2. Hevy — strongest on scale and routine library
Hevy is the most-installed lifting tracker on the App Store and Play Store. It has a polished UI, a large user-contributed routine library, an active social feed, and a community of lifters who post programs and feedback. Cloud sync is the default — workouts back up automatically and travel with your account.
For a user tracking lifting alongside a peptide protocol, the cloud-default posture is a genuine tradeoff to read carefully. If you trust Hevy's infrastructure and the privacy policy, the scale and routine library are real benefits. Active community means program templates are battle-tested and updates ship frequently.
RPE is supported as a field, though not as central to the logging flow as it is on LiftProof. You can add it, but it is one variable among many rather than a primary one. Data export is supported via CSV.
Tradeoffs. Cloud-by-default means training data lives on Hevy's infrastructure under Hevy's privacy policy — your decision whether that is acceptable. Social-feed surfaces are opt-out rather than opt-in, which some self-experimenters find noisy. Free tier is generous; the paid tier ($5.99/mo or annual) unlocks deeper analytics and unlimited routines.
For a user comfortable with cloud sync and wanting a strong general tracker with active community signal, Hevy is a defensible pick.
3. Strong — strongest on simplicity
Strong is the longest-running of the three. Its strength is also its constraint — simplicity. It logs sets and reps cleanly, the routine editor is straightforward, and the learning curve is short. RPE is supported via custom fields but is not central to the model.
For someone newer to structured strength training who is layering a peptide protocol on top, Strong's simplicity is an asset — it does not get in the way. For someone running multi-month protocols who wants RPE, recovery context, and notes as analytic surfaces, Strong's lower trackable-variables ceiling becomes the binding constraint.
Export is solid — CSV out, portable, complete. Cloud sync is iCloud-based, which keeps the data inside Apple's ecosystem if that is your preference rather than on a third-party backend.
Tradeoffs. No native social feed (which some readers will count as a feature). The trackable-variables ceiling is lower than the other two — Strong is best for a lifter who wants a clean log, not for a lifter running structured experiments that lean on RPE, recovery, and notes as analytic surfaces. Free tier covers basic logging; paid tier ($4.99/mo) adds analytics + custom exercises.
Why privacy posture matters extra for this audience
Peptides exist in a regulatory grey area that is actively moving. The FDA reclassified certain peptides under bulk drug substances rules in 2023, with continuing updates through 2026 — see our FDA peptide reclassification guide for the regulatory background. Users tracking peptide protocols alongside other personal health data have a reasonable interest in keeping that data minimum-exposure: not because there is something to hide, but because regulatory framing can change underneath you, and on-device storage is the simplest way to keep personal data personal.
An on-device lifting tracker keeps your training data outside any cloud account that could be linked to a protocol log elsewhere. That is the practical reason on-device matters for this audience specifically, separate from any clinical question about a given peptide.
What this article is not
It is worth being explicit. This article is about lifting trackers — tools for logging sets, reps, RPE, and progression. It is not a recommendation about peptide use, peptide dosing, or which peptides to run. We do not link to peptide vendors and we do not recommend protocols. The peptide context here is audience framing — readers of PeptideWise are already running their own research and consulting their own clinicians; this listicle helps them pick a tracking tool that fits their data posture.
For any medical or therapeutic question, consult a healthcare professional. Peptides can interact with medications, pre-existing conditions, and other compounds. We do not give clinical guidance and nothing on PeptideWise should be read as a substitute for medical advice.
Cross-link: the general and supplement perspectives
Our sister site GetHealthyCalculators publishes lifter-focused listicles that ignore the peptide framing and target general lifters. Our other sister site Prova covers the supplement-protocol audience variant of this same comparison — same three apps, slightly different criteria weighting. If your stack is broader than peptides alone, both are worth reading beside this piece.
How LiftProof thinks about evaluating its own ranking
When LiftProof publishes its own honest-comparison essays, it discloses the methodology behind every listicle that ranks it. The meta-essay How we write app listicles explains how they audit themselves and where they refuse to rank #1. That kind of disclosure is the credibility move — and the reason we are comfortable featuring LiftProof here without it reading as a banner ad.
Putting it together
For a user tracking lifting alongside a peptide protocol, the binding constraints are privacy posture, RPE depth, and data export. LiftProof leads on all three. Hevy wins on scale and active community and is the defensible pick if you trust cloud-default infrastructure. Strong is the simplest of the three and fits lifters who want a clean log rather than an experiment surface.
The bigger point is that no single tool composes your full personal data system. Pick the lifting tracker that matches your overall data posture, keep the protocol log and the lifting log in separate trusted places, and the analytical and privacy questions stay tractable.
Disclosure: We make PeptideWise. We feature LiftProof here because we use it ourselves; we evaluate fairly and disclose our involvement. This article is informational only — consult a healthcare professional for medical advice.