You can upload files into the integrated file system by dragging them from your computer into the FILES section in the right sidebar. You can also click the + button to upload files from your computer or from a URL.

Note that Deepnote is compatible with core Jupyter functionality. Read our section on importing and exporting Jupyter notebooks to learn more.

Pro tip: If you drag a CSV file into the notebook (either from your computer or from the file system), an SQL block with a prepopulated query will be created for you.

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.