Jep

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jep is an open-source Coding & Development tool that embeds Python in Java through JNI. It allows Java developers to integrate Python code and leverage Python modules within their applications.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is jep?

jep is an open-source tool designed to embed CPython within Java applications using JNI. This integration offers several benefits, including potentially faster execution compared to alternatives, access to Python's mature ecosystem of modules and tools, and the ability to script established Java code without recompilation. It supports multiple, simultaneous, and mostly sandboxed sub-interpreters or shared interpreters. Key features include an interactive Jep console similar to Python's, and support for NumPy with Java primitive arrays. jep requires Python >= 3.10 and Java >= 1.8 for installation and use, with NumPy >= 1.7 being optional.

Best used for

Ideal for developers who need to integrate Python's capabilities into Java applications, script existing Java code with Python, and leverage high-quality Python modules. Especially valuable for projects requiring the performance and ecosystem benefits of native Python within a JVM environment.

Common actions

integrate Python

embed Python

script Java

leverage Python modules

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Capabilities

Key features

Embed Python in Java
Interactive Jep console
Multiple sub-interpreters
NumPy support
Cross-platform deployment

Target Audience

developer

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What are the primary benefits of embedding Python in Java using jep?

Embedding Python in Java with jep offers benefits such as potentially faster execution due to using the native Python interpreter, access to Python's mature and well-documented modules, and the ability to script existing Java code without needing recompilation, enhancing cross-platform deployment.

What are the minimum system requirements to use jep?

To use jep, you need Python version 3.10 or higher and Java Development Kit (JDK) version 1.8 or higher. NumPy version 1.7 or greater is also recommended for optional features, and setuptools must be available for installation.

Does jep support multiple Python interpreters simultaneously?

Yes, jep supports multiple, simultaneous, and mostly sandboxed sub-interpreters or shared interpreters. This allows for greater flexibility and isolation when running different Python contexts within a single Java application.

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