Importing and Exporting

Simply drag-and-drop data, images, and files into a Nextjournal notebook and they will be added to your project and saved in 'content addressed storage'. This means the data is saved and versioned along with your notebook.

You can also use the insert (+) menu to add content to your notebook

Here is an example of an uploaded file:

Click 'Add new notebook' and use the importer to upload the file from your local machine, or use the URL link to import a hosted notebook.

Don't forget that you will need to install dependencies and copy your data to the notebook to get it running.

Use the Import Docker Environment option in the ➕ insert menu to import Docker environments. For example, first load the Bash official image on Docker Hub:

Then create a new cell, change the environment to the new Docker container (in this case is is called bash), and inspect the operating system:

To connect to cloud storage, select Bucket Access (S3 / GCS) from the ➕ insert menu.

For example:

Then, mount the repository by selecting + Add mount under the Runtime settings menu.

View the contents of the bucket.

To connect to a GitHub repository, select Import GitHub Repository from the ➕ insert menu.

Then mount the repository by selecting + Add mount under the runtime settings.

Nextjournal exports a .njmd markdown document that will render in any markdown rendering software. The file also features metadata that makes importing back into Nextjournal painless.

Data can be exported with a single click using the download button that is associated with every dataset on Nextjournal.

Click the cloud button to download the data.

To download docker images, select Export the environment under Runtime settings to make the Docker image available for download.

Copy the url and download it using docker pull.

For example, this command will pull this notebook's environment: