Working with files
Connecting to data sources
Coding and analysis tools
Security and privacy
Deepnote for education
Integrated file system
Deepnote has an integrated file system and native integrations to help you work with data files.
How to upload data files to Deepnote
Note that Deepnote is compatible with core Jupyter functionality. Read our section on importing and exporting Jupyter notebooks to learn more.
Note that the limit for an uploaded file is 100MB and the total limit of the file system is 5GB per project.
Working with large files
If your files live in a remote service or bucket, you can simply use one of the native Deepnote integrations to access the files. We have integrations with Amazon S3, Google Cloud Storage, Google Drive, Google Sheets, Microsoft OneDrive, Box, Dropbox, and Azure Blob Storage.
Deepnote's integrated file system is intended for small files. The limit for an uploaded file is 100MB and the total limit for a single project is 5GB. If these limits are a problem, we recommend using systems designed for data at scale (i.e., buckets, shared drives, databases, or warehouses). We help by providing a managed storage bucket for you, as well as integrations with S3, GCS, Google Drive, Google Sheets, OneDrive, Box, Dropbox, and Azure Blob Storage.