TinyWalk: Health Test Data
Not in any tracked top chart right now.
Updated 23 Oct 2026 · rankings refresh through the day
DeveloperLu Cheng Wei
CategoryDeveloper Tools
PriceFree
Released
Rating★ 5.0 (1)
Version1.6.0
Age rating4+
First seen by us
2 Oct 2026
Installs (est.)10k+ worldwide
Rating
5.0 ★
1 ratings
Measured
TinyWalk: Health Test Data on the App Store
App details
App ID
6792443844
Publisher
Lu Cheng Wei
On the store since
Jul 2026
Under a year
Minimum OS
iOS 17.0+
iPhone XS and later
Devices
iPhone · iPad
Content rating
4+
Languages
7
EN JA KO PT ZH ES ZH
Size
6 MB
Also listed in
Utilities
TinyWalk: Health Test Data downloads
Worldwide, per day, and installs to date. The band is open; the exact number is free with an account.
How this is calculated
Apple publishes no download counts. iPhone downloads come from chart positions and daily rating growth per country, calibrated on Google Play install counts; lifetime installs from ratings worldwide × installs per rating. Confidence is the chance the real number is within half to double ours.
Active users
All platforms, worldwide. Free with an account.
Stickiness (DAU / MAU)
how many monthly users open it on a given day
How this is calculated
Monthly users come from lifetime installs across every store, fitted on monthly active user figures companies publish; daily users = monthly × the typical daily/monthly ratio for the category. Confidence is the chance the real number is within half to double ours.
Where it ranks now
Every top chart it appears in across 30 countries.
| Country | Charts | Rank |
|---|---|---|
| Not charting right now. | ||
Ratings
App Store, worldwide.
Rating
5.0 ★
1 ratings
Measured
Ratings
1
Measured
About TinyWalk: Health Test Data
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 account required. Core data generation runs entirely on your device — with in-app feedback (Settings → Feedback) available if you choose to send a message or 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 to represent real activity, and do not use it in fitness challenges, insurance or workplace wellness programs, games, or any other context where step counts earn rewards. Samples written by TinyWalk can be deleted at any time from the Health app.
[Pro Lifetime Unlock]
The 100-step and 1,000-step presets are free. A single one-time purchase permanently unlocks the 2,000 / 3,000 / 5,000 / 10,000-step presets, custom step and duration targets, and background continuation, and removes daily generation limits.
Privacy Policy: https://certaindaniel.github.io/en/tinywalk/privacy/
Terms of Use (EULA): https://www.apple.com/legal/internet-services/itunes/dev/stdeula/
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 account required. Core data generation runs entirely on your device — with in-app feedback (Settings → Feedback) available if you choose to send a message or 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 to represent real activity, and do not use it in fitness challenges, insurance or workplace wellness programs, games, or any other context where step counts earn rewards. Samples written by TinyWalk can be deleted at any time from the Health app.
[Pro Lifetime Unlock]
The 100-step and 1,000-step presets are free. A single one-time purchase permanently unlocks the 2,000 / 3,000 / 5,000 / 10,000-step presets, custom step and duration targets, and background continuation, and removes daily generation limits.
Privacy Policy: https://certaindaniel.github.io/en/tinywalk/privacy/
Terms of Use (EULA): https://www.apple.com/legal/internet-services/itunes/dev/stdeula/
Latest updates
1.6.0
• Added Daily Quota Supply per user feedback, providing extra daily generation allowances.
• Refined countdown and step synchronization in Realtime Mode.