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jpype-project logojpype

JPype is cross language bridge to allow Python programs full access to Java class libraries.

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Quick Overview

JPype is a Python library that provides full access to Java from within Python. It allows Python programs to interact with Java classes and objects, enabling seamless integration between Python and Java code. JPype acts as a bridge between the two languages, making it possible to leverage Java libraries and frameworks in Python projects.

Pros

  • Seamless integration between Python and Java
  • Full access to Java classes, methods, and objects from Python
  • Ability to use Java libraries and frameworks in Python projects
  • Good performance due to direct JVM access

Cons

  • Requires Java installation and configuration
  • Potential memory management issues due to differences between Python and Java
  • Learning curve for understanding Java-Python interaction
  • Limited support for some advanced Java features

Code Examples

  1. Starting the JVM and importing Java classes:
import jpype
import jpype.imports

# Start the JVM
jpype.startJVM(classpath=['path/to/your/jar'])

# Import Java classes
from java.util import ArrayList
from java.lang import System
  1. Creating and using Java objects:
# Create a Java ArrayList
array_list = ArrayList()
array_list.add("Hello")
array_list.add("World")

# Print the size of the ArrayList
print(f"Size of ArrayList: {array_list.size()}")

# Iterate through the ArrayList
for item in array_list:
    print(item)
  1. Calling static Java methods:
# Call a static Java method
current_time = System.currentTimeMillis()
print(f"Current time in milliseconds: {current_time}")
  1. Implementing Java interfaces in Python:
from java.lang import Runnable

class PythonRunnable(Runnable):
    def run(self):
        print("Running from Python!")

# Create and use the Python implementation of Runnable
runnable = PythonRunnable()
runnable.run()

Getting Started

To get started with JPype, follow these steps:

  1. Install JPype using pip:

    pip install JPype1
    
  2. Ensure you have Java installed and the JAVA_HOME environment variable set.

  3. In your Python script, import JPype and start the JVM:

    import jpype
    import jpype.imports
    
    jpype.startJVM(classpath=['path/to/your/jar'])
    
  4. Import and use Java classes as needed:

    from java.util import ArrayList
    
    array_list = ArrayList()
    array_list.add("Hello, JPype!")
    print(array_list.get(0))
    
  5. When finished, shut down the JVM:

    jpype.shutdownJVM()
    

Competitor Comparisons

1,421

Access Java classes from Python

Pros of Pyjnius

  • Lightweight and focused specifically on Android development
  • Simpler setup process, especially for Android projects
  • Better integration with Kivy framework for cross-platform mobile development

Cons of Pyjnius

  • Limited to Android/Java interoperability, less versatile than JPype
  • Smaller community and fewer updates compared to JPype
  • May have performance limitations for complex Java interactions

Code Comparison

JPype:

import jpype
jpype.startJVM()
java_string = jpype.java.lang.String("Hello, World!")
print(java_string.toUpperCase())
jpype.shutdownJVM()

Pyjnius:

from jnius import autoclass
String = autoclass('java.lang.String')
java_string = String("Hello, World!")
print(java_string.toUpperCase())

Both libraries allow Python to interact with Java classes, but JPype provides a more comprehensive Java environment, while Pyjnius focuses on simplicity and Android integration. JPype requires explicit JVM startup and shutdown, whereas Pyjnius handles this automatically. JPype offers broader Java support across platforms, making it suitable for various Java-Python integration scenarios. Pyjnius, being part of the Kivy ecosystem, is optimized for mobile app development with Python.

1,377

Embed Python in Java

Pros of Jep

  • Supports embedding Python within Java applications
  • Generally faster performance for numerical computations
  • Easier to use when working with NumPy arrays

Cons of Jep

  • Limited support for Python callbacks into Java
  • Requires separate installation of JNI libraries
  • Less comprehensive documentation compared to JPype

Code Comparison

JPype:

import jpype
jpype.startJVM()
java_list = jpype.java.util.ArrayList()
java_list.add("Hello")
jpype.shutdownJVM()

Jep:

from jep import Jep
j = Jep()
j.eval('import java.util.ArrayList')
j.eval('list = ArrayList()')
j.eval('list.add("Hello")')

Both JPype and Jep are libraries for integrating Java and Python. JPype focuses on calling Java from Python, while Jep excels at embedding Python in Java applications. JPype offers more comprehensive Java integration, including support for Java callbacks and a wider range of Java types. Jep, on the other hand, provides better performance for numerical computations and easier integration with NumPy arrays. The choice between the two depends on the specific requirements of your project and whether you need to call Java from Python or embed Python in Java.

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README

.. image:: doc/logo_small.png :alt: JPype logo :align: center

JPype

|implementation| |pyversions| |javaversions| |jvm| |platform| |license|

JPype is a Python module to provide full access to Java from within Python. It allows Python to make use of Java only libraries, exploring and visualization of Java structures, development and testing of Java libraries, scientific computing, and much more. By gaining the best of both worlds using Python for rapid prototyping and Java for strong typed production code, JPype provides a powerful environment for engineering and code development.

This is achieved not through re-implementing Python, as Jython has done, but rather through interfacing at the native level in both virtual machines. This shared memory based approach achieves decent computing performance, while providing the access to the entirety of CPython and Java libraries.

:Code: GitHub <https://github.com/jpype-project/jpype>_ :Issue tracker: GitHub Issues <https://github.com/jpype-project/jpype/issues>_ :Discussions: GitHub Discussions <https://github.com/jpype-project/jpype/discussions>_ :Documentation: Python Docs_ :License: Apache 2 License_ :Build status: |TestsCI|_ |Docs|_ :Quality status: |Codecov|_ |lgtm_python|_ |lgtm_java|_ |lgtm_cpp|_ :Version: |PypiVersion|_ |Conda|_

The work on this project began on Sourceforge <http://sourceforge.net/projects/jpype/>__. LLNL-CODE- 812311

.. |alerts| image:: https://img.shields.io/lgtm/alerts/g/jpype-project/jpype.svg?logo=lgtm&logoWidth=18 .. _alerts: https://lgtm.com/projects/g/jpype-project/jpype/alerts/ .. |lgtm_python| image:: https://img.shields.io/lgtm/grade/python/g/jpype-project/jpype.svg?logo=lgtm&logoWidth=18&label=python .. _lgtm_python: https://lgtm.com/projects/g/jpype-project/jpype/context:python .. |lgtm_java| image:: https://img.shields.io/lgtm/grade/java/g/jpype-project/jpype.svg?logo=lgtm&logoWidth=18&label=java .. _lgtm_java: https://lgtm.com/projects/g/jpype-project/jpype/context:java .. |lgtm_cpp| image:: https://img.shields.io/lgtm/grade/cpp/g/jpype-project/jpype.svg?logo=lgtm&logoWidth=18&label=C++ .. _lgtm_cpp: https://lgtm.com/projects/g/jpype-project/jpype/context:cpp .. |PypiVersion| image:: https://img.shields.io/pypi/v/Jpype1.svg .. _PypiVersion: https://badge.fury.io/py/JPype1 .. |Conda| image:: https://img.shields.io/conda/v/conda-forge/jpype1.svg .. _Conda: https://anaconda.org/conda-forge/jpype1 .. |TestsCI| image:: https://dev.azure.com/jpype-project/jpype/_apis/build/status/jpype-project.jpype?branchName=master .. _TestsCI: https://dev.azure.com/jpype-project/jpype/_build/latest?definitionId=1&branchName=master .. |Docs| image:: https://img.shields.io/readthedocs/jpype.svg .. _Docs: http://jpype.readthedocs.org/en/latest/ .. |Codecov| image:: https://codecov.io/gh/jpype-project/jpype/branch/master/graph/badge.svg .. _Codecov: https://codecov.io/gh/jpype-project/jpype .. |implementation| image:: https://img.shields.io/pypi/implementation/jpype1.svg .. |pyversions| image:: https://img.shields.io/pypi/pyversions/jpype1.svg .. |javaversions| image:: https://img.shields.io/badge/java-8%20%7C%209%20%7C%2011-purple.svg .. |jvm| image:: https://img.shields.io/badge/jvm-Open%20%7C%20Oracle%20%7C%20Corretto-purple.svg .. |platform| image:: https://img.shields.io/conda/pn/conda-forge/jpype1.svg .. |license| image:: https://img.shields.io/github/license/jpype-project/jpype.svg .. _Apache 2 License: https://github.com/jpype-project/jpype/blob/master/LICENSE .. _Python Docs: http://jpype.readthedocs.org/en/latest/

SPDX-License-Identifier: Apache-2.0