AWARE Client V2 vs WASH
Price, ratings, monetisation and update history for both apps, side by side — with what reviewers say about each.
AWARE Client V2
This app collects and shares mobile context information, including location, activity, and device usage, for both individual users and researchers. It allows for the automatic recording of data and the creation of mobile studies, with a strong emphasis on privacy by design.
- Automatic data collection (location, steps, mobility)
- HealthKit integration for heart-rate, sleep, and workouts
- Customizable sensor selection via AWARE Dashboard
- Privacy-focused design, no personal information logged
- Background data collection for mobile studies
- Support for various sensors including GPS, motion, and audio
Read full descriptionHide full description
[About AWARE Client] AWARE Client V2 is a sensing framework dedicated to an instrument, infer, log and share mobile context information, for smartphone users and researchers. AWARE captures hardware-, software-, and human-based data. [Individuals: Record your data] This app allows us to collect user’s activity data (such as location, steps, and mobility types) automatically. As a part of the activity data, this app collects heart-rate, sleep, and workout data via HealthKit API if the user allows the app to access HealthKit API. In addition, By using the AWARE Dashboard, you can enable or disable sensors. Privacy is enforced by design, so AWARE does not log personal information, such as phone numbers or contacts information. Also, the data is saved locally on your mobile phone temporarily. AWARE uploads the data to the AWARE server automatically if the device has a Wi-Fi network and is charged the battery. [Scientists: Run studies] Running a mobile-related study has never been easier. Install AWARE to the participants' phone, select the data you want to collect and that is it. If you use the own AWARE server, you can set a mobile questionnaire. [How to use AWARE Client iOS] 1. Set a study on AWARE Dashboard 1-1. Please access to AWARE Dashboard by a web browser Make a study by "Create Study" button 1-2. Select required sensors from a sensor list for your study 1-3. Make a QR code by "Show QRcode" button 2. For joining the study, please read the QR code by a QR code reader on the AWARE client 3. AWARE collects and uploads your contexts in the background automatically 4. You can quit the study by 'Quit Study' button [Supported Sensors] AWARE allows us to collect the following sensor data: - Location (GPS, Barometer, Wi-Fi, and Bluetooth) - Motion (Accelerometer, Gyroscope, Gravity, Linear Accelerometer, Magnetometer, and Activity Recognition) - Ambient Noise (Audio Features) - Device Usage (Screen State and Phone Call Events) - Network State (Wi-Fi or Mobile Network) - Timezone - Weather Data (from Open Weather Map) - BLE Devices (heart rate) - HealthKit - Calendar Events - Web APIs (Fitbit) - ESM: Experimental Sampling Method (Mobile Questionary) ** NOTE ** This application uses a location sensor in the background. Continued use of GPS running in the background can dramatically decrease battery life. In addition, this app may use your location even when it isn’t open, which can decrease device battery life.
WASH
Manage your laundry experience on campus with this app. Start machines remotely, check real-time availability of washers and dryers, and easily submit service requests for any issues. Simplify your laundry routine with convenient digital control.
- Start machines remotely
- Check machine availability
- Submit service requests
- Receive service confirmation
- No account required for service
Read full descriptionHide full description
Use the WASH-Connect Campus app in participating WASH laundry rooms, request service, and check machine availability. DO LAUNDRY WITH EASE WASH-Connect Campus is the quickest and easiest way to submit a service request. HOW IT WORKS 1. Start a machine right from your phone within seconds. 2. View Available Machines Check which machines are available inside your laundry room. 3. Request Service Easily create, submit and get confirmation of service requests (no account required).
Screenshots
Verdict
The clearest difference is rating: AWARE Client V2 at 4.0 against WASH's 3.4. AWARE Client V2 also leads on review sentiment (33% vs 8%) and update cadence (fortnightly vs every 2 months). WASH's advantage is ratings volume (954 vs 10). On price, ads, in-app purchases and monetization model there is nothing between them.
Scored on Price · Rating · Positive reviews · Number of ratings · Update frequency · Ads · In-app purchases · Monetization · Best chart rank · Devices · Requires iOS
Both are free to download. Neither carries in-app purchases, so what you see is what you pay.
AWARE Client V2 holds the better App Store score, 4.0 against 3.4. That said, the two scores are not equally well evidenced: WASH has 954 ratings behind it against 10, so its average is the more settled of the two. Written reviews point the same way: 33% of AWARE Client V2's written reviews are positive against 8% of WASH's.
AWARE Client V2 ships an update fortnightly, WASH every 2 months. The most recent releases landed on October 22, 2026 and October 30, 2026 respectively.
| Parameter | AWARE Client V2 | WASH |
|---|---|---|
| Price | Free | Free |
| Rating | 4.0 (10 ratings) — better | 3.4 (954 ratings) |
| Positive reviews | 33.3% of reviews — better | 7.8% of reviews |
| Number of ratings | 10 | 954 — better |
| Update frequency | Fortnightly — better | Every 2 months |
| Ads | No | No |
| In-app purchases | No | No |
| Monetization | Free | Free |
| Devices | iPhone, iPad, iPod | iPhone, iPad, iPod |
| Requires iOS | 12.0 — better | 15.1 |
| Further details — not scored | ||
| Size | 24 MB | 58 MB |
| Age rating | 17+ | 4+ |
| Developer | Yuuki Nishiyama | WASH Multifamily Laundry Systems |
Customer experience
AWARE Client V2
WASH
Bugs and requests
AWARE Client V2
Not enough reviews yet to summarise bugs or requests.
WASH
Reported bugs
3 issues- Machines not registering properly
- Incorrect time displayed on cycles
- Frequent connection errors
Requested features
3 requests- Display out-of-order machines
- Improve timer accuracy
- Provide better support and communication
In-app purchases
AWARE Client V2
No in-app purchases
WASH
No in-app purchases









