This is an early-stage experimental implementation of Python. A primary goal is to support SciPy and its constituent libraries. This Python implementation currently aims to be compatible with Python 3.7, but it is a long way from there, and it is very likely that any Python program that requires any packages at all will hit something unsupported. At this point, the Python implementation is made available for experimentation and curious end-users.

To try it, you can use the bundled releases from www.graalvm.org. For more information and some examples of what you can do with it, check out the reference.

The best way of using the GraalVM implementation of Python is out of a virtual environment. This generates wrapper scripts and makes the implementation usable from shell as standard Python interpreter. To do so execute the following in the project directory:

Build GraalPython:

mx build

Create the venv:

mx python -m venv <dir-to-venv>

To activate the environment in your shell session call:

source <dir-to-venv>/bin/activate

In the venv multiple executables are available, like python, python3 and graalpython.

At the moment not enough of the standard library is implemented to run the standard package installers for many packages. As a convenience, we provide a simple module to install packages that we know to be working (including potential patches required for those packages). Try the following to find out more:

graalpython -m ginstall --help

As a slightly more exciting example, try:

graalpython -m ginstall install numpy

If all goes well (also consider native dependencies of NumPy), you should be able to import numpy afterwards.

Support for more extension modules is high priority for us. We are actively building out our support for the Python C API to make extensions such as NumPy, SciPy, Scikit-learn, Pandas, Tensorflow and the like work. This work means that some other extensions might also already work, but we're not actively testing other extensions right now and cannot promise anything. Note that to try extensions on this implementation, you have to download, build, and install them manually for now.

We have a document describing how we implement the cross-language interop. This will hopefully give you an idea how to use it.

We are working on a mode that is "mostly compatible" with some of Jython's features, minus of course that Jython implements Python 2.7 and we implement Python 3.7+. We describe the current status of the compatibility mode here.

I you're thinking about contributing something to this repository, you will need to sign the Oracle Contributor Agreement for us to able to merge your work. Please also take note of our code of conduct for contributors.

To get you started, we have written a bit about the structure of this interpreter that should show how to fix things or add features.

This GraalVM implementation of Python is copyright (c) 2017, 2019 Oracle and/or its affiliates and is made available to you under the terms the Universal Permissive License v 1.0 as shown at http://oss.oracle.com/licenses/upl. This implementation is in part derived from and contains additional code from 3rd parties, the copyrights and licensing of which is detailed in the LICENSE and THIRD_PARTY_LICENSE files.