Your privacy is important to us. Learn how our applications handle your data.
Last Updated: January 14, 2026
Developer: Yu, Yao-hsing
Application: t-SNE Explorer
Store ID: 9P969D6N7P6J
t-SNE Explorer is a transparent t-SNE (t-Distributed Stochastic Neighbor Embedding) visualization tool designed to help users analyze and visualize high-dimensional data in 2D space. This privacy policy explains our data handling practices.
t-SNE Explorer DOES NOT collect, transmit, or share any personal information or user data.
The application stores the following data LOCALLY on your device only:
All data is stored in the following local directory:
C:\Users\<YourUsername>\.t-sne\
This data is NOT transmitted to any external servers or third parties.
When you choose to load the MNIST handwritten digits dataset:
The application requires internet connection ONLY for:
t-SNE Explorer does NOT use:
The application requires the following permissions:
t-SNE Explorer does not knowingly collect any information from children or anyone else. The application is safe for users of all ages.
The application's source code is transparent and can be reviewed to verify our privacy claims.
You have the right to:
C:\Users\<YourUsername>\.t-sne\Any changes to this privacy policy will be reflected in application updates. The "Last Updated" date at the top will be modified accordingly.
For questions or concerns about this privacy policy:
t-SNE Explorer is a privacy-focused application that:
Your privacy is important to us. t-SNE Explorer is designed to be completely transparent and respect your data privacy at all times.
Last Updated: January 2025
Manim Studio is a desktop application for creating mathematical animations using the Manim library. This privacy policy explains how the application handles your data.
Manim Studio does NOT collect, transmit, or share any personal data. All operations are performed locally on your computer.
The application stores the following data locally on your device:
Manim Studio operates entirely offline. The application does not:
This application does not integrate with any third-party services that would collect your data.
Since all data remains on your local machine, security is maintained through your operating system's file permissions and security measures.
You have full control over your data:
Manim Studio does not collect any personal information from anyone, including children.
Any updates to this privacy policy will be reflected in the "Last Updated" date above.
For questions about this privacy policy, please visit the project repository or contact the developer.
This application respects your privacy by design. Your code, animations, and creative work remain entirely yours.
Last Updated: November 26, 2025
This Privacy Policy describes how Generalized Covariance Matrix ("we", "our", or "the App") handles your information. We are committed to protecting your privacy and ensuring transparency about our data practices.
Generalized Covariance Matrix is designed as a local application that runs entirely on your device. We do not collect, transmit, or store any personal information on external servers.
We do not collect:
The App may create temporary files on your local device during operation, including:
These files are stored locally in your user directory (e.g., .random_matrix folder) and remain entirely under your control.
Any images, data, or files you import or process within the App remain on your local device. You have complete control over these files and can delete them at any time.
The App does not integrate with any third-party analytics, advertising, or tracking services. All computations and processing occur locally on your device.
Since all data processing occurs locally on your device, the security of your data depends on:
We recommend following standard security best practices for your device and operating system.
The App does not knowingly collect any information from children under the age of 13. The App is designed for research, education, and professional use in mathematical analysis and signal processing.
We may update this Privacy Policy from time to time. Any changes will be reflected in the "Last Updated" date at the top of this document. We encourage you to review this Privacy Policy periodically.
Since all data is stored locally on your device, you can delete any data created by the App at any time by:
This application is open source. You can review the source code to verify our privacy practices at our GitHub repository.
Since we do not collect or store any personal data on external servers, traditional data rights (access, rectification, erasure, portability) are not applicable. All your data remains under your complete control on your local device.
If you have any questions or concerns about this Privacy Policy, please contact us at:
By using Generalized Covariance Matrix, you consent to this Privacy Policy.
This Privacy Policy applies to the Generalized Covariance Matrix application available on the Microsoft Store and other distribution platforms.
Last Updated: May 4, 2026
EigenDenoise ("the App") is a native macOS application developed by Yao-Hsing Yu ("we", "I"). This policy explains, in plain language, exactly what the App does and does not do with your information.
EigenDenoise runs entirely on your Mac. It does not collect, transmit, sell, or share any personal information. There is no account, no login, no analytics, and no advertising SDK.
We do not collect, store, or transmit any of the following:
The App contains no third-party analytics, advertising, attribution, or tracking SDKs.
All computation runs on-device. The App stores the following on your Mac only — it never leaves your computer:
C:\.eigendenoise), or to a folder you have picked via the "Storage location → Change…" action.You can delete all of the above at any time by emptying the App's storage folder and removing the App from your Applications folder.
EigenDenoise only makes network requests when you explicitly initiate them, by clicking a dataset preset (ORL Faces / CBSD68 / Brain MRI), clicking "Download" on a custom URL list, or selecting a Help-menu link. In those cases the App fetches:
No personal data is sent in these requests. The requests are made by the system URLSession API and are subject to Apple's standard network privacy protections.
The App does not make any background network calls, does not "phone home" on launch, and does not check for updates from us — all update distribution happens through the Mac App Store.
When you download a dataset preset, the files come from a public third-party GitHub repository (e.g. MohamedAliHabib/Brain-Tumor-Detection, clausmichele/CBSD68-dataset, mims-harvard/nimfa). Those repositories have their own owners, licenses, and terms; this policy does not cover them. Please consult the source repository before redistributing downloaded images.
The App is not directed to children under 13 and does not knowingly collect any information from anyone, including children.
If this policy ever changes, the new version will be posted at the same URL with an updated "Last updated" date. Material changes will also be reflected in the App's release notes on the Mac App Store.
Questions about this policy or the App's behaviour:
EigenDenoise is a privacy-respecting macOS application. All processing happens on your Mac, with no telemetry or analytics of any kind.
Effective date: May 6, 2026
ManimStudio is an offline iPad app for editing and rendering Python/manim animations.
ManimStudio does not collect, transmit, or share any personal data, usage analytics, crash reports, identifiers, or contact information. The app has no servers, no accounts, no telemetry, and no third-party SDKs that collect data.
Documents/Logs/manim_studio.log. This file stays on your device. You can view, share, or delete it from the app's Settings → Diagnostics, or directly via the Files app.Info.plist for completeness but not currently used by any feature.ManimStudio is not directed at children and does not knowingly collect any data from anyone, including children.
None. ManimStudio is an offline app and does not contact any server.
If this policy changes in a future update, the new version will be published at the same URL.
ManimStudio (iOS) is fully offline by design. Your code, animations, and rendered media stay on your iPad.
Effective date: May 13, 2026
GPS-location-app respects your privacy. This app is designed to record workout routes and related workout metrics on your device and, where you allow it, through Apple Health / HealthKit.
GPS-location-app may collect and process the following data on your device:
We use this data only to provide the app's functionality, including:
Workout and sensor data is primarily stored on your device. Health-related data written to or read from Apple Health is managed according to Apple's HealthKit framework and your Health permissions.
We do not sell your personal data.
We do not use your workout or location data for advertising.
GPS-location-app does not sell or rent your personal information. Data is only shared with Apple frameworks such as HealthKit when required for app functionality and only when you grant permission.
The app may request access to:
You can revoke these permissions at any time in iOS Settings.
Your data remains on your device unless you delete it, remove the app, or remove related Health data from Apple Health, subject to Apple's data handling behavior.
This app is not directed to children under 13.
If you have questions about this Privacy Policy, contact:
GPS-location-app keeps your route and workout data on your device, syncing with Apple Health only when you explicitly grant permission.
Last updated: May 16, 2026
Whisper ("the app") is designed with privacy as a foundational principle. This policy explains, in plain language, what data the app handles and what it does not.
When you record audio, import an audio/video file, or select a video from your Photos library, Whisper:
The transcript is held in memory and remains local to your device. Nothing about the audio or its contents is transmitted off the device by the app.
Whisper downloads AI model files from Hugging Face's public model hub the first time you use a given model. These downloads contain only the model weights — no user data is sent in either direction beyond a standard HTTPS request. After download, models work entirely offline.
Whisper only asks for permissions strictly required for its features:
Each permission is requested through the system prompt and can be revoked at any time in iOS Settings.
Whisper does not collect, transmit, sell, or share:
Whisper does not embed any third-party SDKs for analytics, advertising, attribution, or tracking. The only external network requests the app makes are to Hugging Face to download the AI model weights you choose.
Because Whisper collects no personal data, it is safe for users of any age. It does not knowingly collect information from children or anyone else.
All audio files, models, and transcripts live in the app's local container on your device. To delete everything, simply uninstall the app — iOS will remove all associated data automatically.
If this policy ever changes, the updated version will be posted alongside the app. Since the app collects no data, any future changes will be limited to clarifications, not new data practices.
For questions about this policy or the app:
Whisper transcribes speech entirely on-device using Apple's Neural Engine. Your audio and transcripts never leave your iPhone or iPad.