Enthought Deployment Manager | EDM Documentation (original) (raw)

Enthought Deployment Manager (EDM) is Enthought’s Python environment and application manager. EDM’s main features are:

• Create multiple self-contained Python environments.
• Environments are fully reproducible, including the Python runtime, using the “bundle” lockfile feature.
• Apply a fast, state-of-the-art SAT solver with support for conflicts, provides, and other features available in advanced package managers.
• Supports hundreds of Enthought binary packages, including AI/ML libraries with GPU support, across Linux, MacOS and Windows.

Examples

A basic workflow looks as follows:

`# will install scipy in your default environment $ edm install scipy

starts a new shell in the default environment

$ edm shell (edm) $ python -c "import scipy" $ exit # exit the shell

If you prefer virtualenv-like activation

$ source edm-activate (edm) $ python -c "import scipy" $ deactivate `

Multiple environments may be created through the -e/–environment option:

`$ edm install "scipy < 0.17" -e test-old-scipy $ edm shell -e test-old-scipy

or using virtualenv-like activation

$ source edm-activate test-old-scipy `

To install an alternative runtime (experimental, not available on every platform):

`# Create a minimal pypy environment w/ pypy interpreter $ edm environments create test-pypi --implementation pypy

Create a minimal julia environment

$ edm environments create test-julia --implementation julia

To list available runtimes:

$ edm available-runtimes `

The basic command line is documented in the quick usage guide.

Next Steps

• Follow the install guide to install EDM on your computer.
• Consult the command line reference to learn how to use EDM.