GraalPy is an implementation of the Python language on top of GraalVM. A primary goal is to support PyTorch, SciPy, and their constituent libraries, as well as to work with other data science and machine learning libraries from the rich Python ecosystem. GraalPy can usually execute pure Python code faster than CPython, and nearly match CPython performance when C extensions are involved. GraalPy currently aims to be compatible with Python 3.10. While many workloads run fine, any Python program that uses external packages could hit something unsupported. At this point, the Python implementation is made available for experimentation and curious end-users. We welcome issue reports of all kinds and are working hard to close our compatibility gaps.

The easiest option to try GraalPy is pyenv, the Python version manager. It allows you to easily install different GraalPy releases. To install version 22.3.0, for example, just run pyenv install graalpy-22.3.0.

Another option is to use Conda-Forge. To get an environment with the latest version of GraalPy, use the following command:

conda create -c conda-forge -n graalpy graalpy

To try GraalPy with a full GraalVM, including the support for Java embedding and interoperability with other languages, you can use the bundled releases from www.graalvm.org.

Note: There is currently no installer for Windows.

• mx

  There is a separate Python tool for GraalVM development. This tool must be downloaded and added to your PATH:

  git clone https://github.com/graalvm/mx.git
  export PATH=$PWD/mx:$PATH

• LabsJDK

  The following command will download and install JDKs upon which to build GraalVM. If successful, it will print the path for the value of your JAVA_HOME environment variable.

  mx fetch-jdk

Run mx --dy /compiler python-gvm in the root directory of the graalpython repository. If the build succeeds, it will print the full path to the graalpy executable as the last line of output. This builds a bash launcher that executes GraalPy on the JVM. To build a native launcher for lower footprint and better startup, run mx python-svm instead.

For more information and some examples of what you can do with GraalPy, see the reference documentation.

See the documentation that describes how we implement cross-language interoperability. This should give you an idea about 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 3.10+. We describe the current status of the compatibility mode here.

We are working on a mode that is "mostly compatible" with some of Jython's features, considering the fact that Jython implements Python 2.7 and we implement Python 3.10+. For more details about compatibility, see here.

If 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 https://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.