The initial load might take slightly longer while the image is being downloaded. Just add a new image from a public repository, optionally give it a name, and it’s ready to use.

You can run Deepnote on any Docker image, as long as it satisfies a few requirements. This includes including the variable explorer, SQL cells, and input cells. This is an extremely powerful feature because it allows you to pick from any of the preconfigured images in public repositories such as Dockerhub.ĭeepnote's R support is still in its early days. You can also pull in a Docker image from somewhere else. Read more about using a local Docker file in the 'Building images' section below. Dockerfile from the Environment dropdown in the right sidebar (shown above). If you have a local Dockerfile you'd like to use, just select Local. RUN apt update & apt install -y ffmpeg libsm6 libxext6 For example, a Dockerfile that will install the dependencies needed for OpenCV would look like: FROM deepnote /python: 3.7 To learn more about our Anaconda Docker image, refer to the conda environment docs.Ī common use-case is to extend one of the above mentioned supported images by specifying the FROM directive at the beginning of the file (such as FROM deepnote/python:3.7) and then adding what you need. Deepnote takes care of building and hosting the Docker image. This option will use environment described by the Dockerfile file in the root of your project. These are explained in more detail below. You can either (1) use an environment defined by a local Dockerfile or (2) you can point to a hosted Docker image that you would like to use. If you need to customize your environment further for example by installing additional libraries or binaries, you have two ways of doing so.

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