TinyWalk: Health Test Data

TinyWalk: Health Test Data
Developer: Lu Cheng Wei
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2.1K installs
43 ratings
1.5K monthly active users
$<10K monthly revenue est.
IAP 100% · Ad 0%
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TinyWalk: Health Test Data Summary

TinyWalk: Health Test Data is a free, with in-app purchases iOS app in Developer Tools by Lu Cheng Wei. Released in Jul 2026 (1 month ago). It has 43 ratings with a 4.91★ (excellent) average. Based on AppGoblin estimates, it reaches roughly 1.5K monthly active users and generates around $<10K monthly revenue (100% IAP / 0% ads). Store last updated Aug 19, 2026

TinyWalk: Health Test Data SDKs Summary

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4.91★

Ratings: 43

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App Description

TinyWalk is a developer utility for generating synthetic HealthKit test data on a real device.

Building or QA-testing an app that reads step counts, walking distance, or workouts? Populating a test dataset by hand in the Health app is slow, and the iOS Simulator cannot reproduce device-only HealthKit behavior. TinyWalk writes well-formed sample data in one tap so you can exercise your read paths, charts, aggregation windows, and permission flows against realistic input.

[What it writes]
• HKQuantityTypeIdentifierStepCount — as one sample per write, or split into per-minute samples
• HKQuantityTypeIdentifierDistanceWalkingRunning — derived at 0.75 m/step, and optional
• HKWorkout (.walking) — wraps the per-minute samples in a single session, so your workout-reading code has something to parse

[Features]
• Seven dataset options: presets at 100, 1,000, 2,000, 3,000, 5,000 and 10,000 steps, plus a custom target — type any step count up to 100,000, or set a duration up to 4 hours and let it run until time is up.
• Provenance control: write samples tagged HKMetadataKeyWasUserEntered (as the Health app does for hand-typed values) or untagged like device-recorded data. Most apps branch on this flag, so testing that branch needs both.
• Back-dated generation: spread a dataset minute-by-minute across a past time range, so you can test how your app aggregates historical data without waiting in real time.
• Live generation: write progressively over a countdown, to test how your app reacts to HealthKit data arriving while it runs.
• Background continuation: a live run keeps writing after you switch apps or lock the screen, and notifies you when it finishes (requires iOS 26 or later).
• Realistic variance: samples carry ±12% per-minute variation and a configurable cadence (walk / jog / run) so your charts and averages are tested against non-uniform input instead of a flat series.
• Local log of every dataset written, so you can find and clean up what you generated.
• No ads, no account. Data generation happens entirely on your device — the only network request TinyWalk ever makes is if you choose to send feedback (Settings → Feedback), which posts your message and an optional screenshot to our support channel.

[Important]
The data TinyWalk writes is synthetic. It is intended for developing and testing your own software. Do not use it