Emily CLI Documentation
Release-v2.0.1Emily combines the powers of Python and Docker to build stable and consistent machine learning and datascience python environments. Emily is useful for large cross-team project development as well as for simply running a single jupyter notebook or python script.
Downloademily@v2.0.1
See earlier versions
whoamitelemetrybuildopenlistmountunmountdoctordeployserversupdatedroplogstopuninstallconfigloginlogout
$ emily open [project] [options]
Open a directory or an existing Emily project by its name or ID.
$ open my-project-name
Opening my-project-name located at my-project-path.
Starting Docker container...
Running Emily Open
To open a project with Emily, simply run emily open
inside a terminal. To open an existing Emily project, you have to supply either the project's ID, name or it's path.
$ open my-project-name
$ open ~/my/project/directory
$ open MKLHWX
--gpu
--editor vscode
You can also import a directory which is not an Emily project. You will be able to choose an import image that suits your project the most.
$ open ./my-import-directory
$ open ./my-import-directory
--import-mounts ./dataset1 ./dataset2 ./dataset3
--editor pycharm
--gpu