Installing packages and dependencies

Domino is pre-installed with many common libraries, so we recommend that you first try running your code before customizing your configuration. If you need to, there are specific ways to add your own dependencies for…

If you have more specialized dependencies, please let us know.

Persistent installations

By default, Domino runs each of your scripts (or interactive sessions) from a fresh environment. This means any packages you install will be installed to your environment each time you start an execution. We have more advanced functionality for managing your own compute environments with software changes that stay permanently installed, which can speed up execution start times. See our section about working with raw Dockerfiles to learn more about creating your own custom environments.


Checking what’s already installed

Many common modules are installed by default. To get a list of pre-installed modules, you can include help('modules') at the start of your script or in a new IPython Notebook session. Or using the Domino CLI tool, you can run domino run --direct "pip freeze"

Adding your own packages

To specify your own additional dependencies, you can use pip with Domino. To specify module dependencies for your project, add a pip requirements file named requirements.txt to the root of your project folder.

The requirements file specifies which libraries and any version requirements for them. An example:


For a full reference on the syntax of the requirements file, read this.

If you’re using pip on your local machine, the easiest way to generate the requirements.txt file is to run the following command in the root of your project folder:

~/domino/myProject $ pip freeze > requirements.txt

For performance reasons, you should prune that file so that it includes only the libraries you need for your actual analysis.

Alternatively, if you’re working in a Jupyter Notebook, you can also use pip to install dependencies interactively. In a notebook cell, you can run

! pip install --user <package>

(The ‘!’ tells the notebook to execute the cell as a shell command)

Installing Packages Hosted from a Git Repository


This is an advanced topic.

Pip can install Python packages from source by cloning a public Git repository over https. For full reference, see here. To specify this, you will need to add something like the following line to your requirements.txt file:

-e git+

The most common host of Git projects is GitHub. If the package you wish to install is publicly accessible, then the instructions above will work. However, if you need to install any private repositories, Domino can securely integrate with GitHub to access those private repositories. Read our instructions on securely storing your Github credentials.


Do not embed your GitHub credentials directly in the requirements.txt file. Instead, integrate Domino with GitHub securely by following our instructions here.


If you’re using Domino for R scripts, you may also want to check out our R Package for controlling Domino in your R IDE.

Most common packages are installed by default (you can include installed.packages() at the start of your script to print out a list of installed packages). If you need additional packages, you can use R’s built-in package manager to install and load them: simply add install.packages calls for any packages your code needs to the top of your R scripts, e.g.,

install.packages("rpart", dependencies=TRUE, repos='')
# install other packages...


# rest of your script...

These package installation calls must be at the top of every R script that Domino runs. If your packages take a long time to install, we recommend that you create a custom compute environment for efficiency.

Installing packages for Domino 5.0

Integrated model monitoring in Domino 5.0 requires packages that are specific to the 5.0 release. When you upgrade to Domino 5.0 from a previous release, a 5.0 DSE with these packages is created automatically, but it is not the default environment. In order to take advantage of new features in the 5.0 release, you can either configure your projects to use the 5.0 DSE or add individual 5.0 packages to your existing environments. This section explains how to add 5.0 packages to your existing environments.

Install the Domino Data Capture client

The Domino Data Capture client is required for integrated model monitoring in Domino 5.0. Install it as follows:

USER root

RUN pip install domino-data-capture

USER ubuntu
USER root

RUN R -e "install.packages(c('DominoDataCapture'))"

USER ubuntu

Install the Domino Data API

The Domino Data API currently supports Python only. Install it as follows:

USER root

RUN python -m pip install "dominodatalab[data]"

USER ubuntu