Cloud Storage for Data Scientists — Manage Training Data and Models with RcloneView
Data scientists move gigabytes daily — RcloneView provides a multi-cloud GUI to manage training datasets, model checkpoints, and experiment outputs across S3, Google Drive, and more.
Machine learning workflows generate enormous volumes of files: raw datasets that can span hundreds of gigabytes, preprocessed feature stores, trained model checkpoints, and experiment logs that need long-term archival. Moving these between local machines, cloud object storage, and shared team drives is time-consuming and risky when transfers fail silently. RcloneView gives data science teams a visual file manager that spans 90+ cloud providers from a single window on Windows, macOS, and Linux.

Manage & Sync All Clouds in One Place
RcloneView is a cross-platform GUI for rclone. Compare folders, transfer or sync files, and automate multi-cloud workflows with a clean, visual interface.
- One-click jobs: Copy · Sync · Compare
- Schedulers & history for reliable automation
- Works with Google Drive, OneDrive, Dropbox, S3, WebDAV, SFTP and more
Free core features. Plus automations available.