TinyWalk vs LL Pair

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 without that tag. 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/

Designed for LocationLab users, LL Pair helps you prepare Developer Mode and pair locally on an iPhone running iOS 27 or later. Export the resulting pairing file for use with LocationLab or other tools that support this format. LL Pair itself does not require those apps to be installed. If Developer Mode is missing from Settings, use the Show It option in LL Pair, then enable it in system Settings, restart, and confirm as iOS instructs. LL Pair cannot turn on the system switch for you. Once enabled, select the LL Pair pairing host in Settings and enter the code shown by the app. After pairing succeeds, send the file directly to a compatible version of LocationLab or export it to a destination you choose. Pairing credentials remain on this iPhone unless you explicitly send or export them. Keep the file secure. LL Pair does not provide location or VPN features and does not download a Developer Disk Image.