jep VS onnxruntime-extensions

Compare jep vs onnxruntime-extensions and see what are their differences.

onnxruntime-extensions

onnxruntime-extensions: A specialized pre- and post- processing library for ONNX Runtime (by microsoft)
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jep onnxruntime-extensions
4 1
1,254 261
1.0% 2.3%
7.4 9.0
5 months ago 5 days ago
C Python
GNU General Public License v3.0 or later MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

jep

Posts with mentions or reviews of jep. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-29.
  • How do you use a python model in a java code
    1 project | /r/java | 18 May 2023
    You could look toward Java embedded python. I’m using it myself and quite happy with it.
  • Best way to combine Python and Java?
    10 projects | /r/java | 29 Oct 2022
    We used https://github.com/ninia/jep for similar thing.
  • How to Draw Beautiful Chart like Matplotlib in Java or Scala?
    2 projects | dev.to | 11 May 2021
    There is a library in the world that allow you to use CPython from Java code, and this one was a candidate because we can use both Python3 and numpy. However, we had to install a separate environment-dependent library to use JNI, and we also had to install the library from pip on the Python side, which was too much work for something as simple as drawing graphs. So in the end I have decided to implement it independently of these libraries at all.

onnxruntime-extensions

Posts with mentions or reviews of onnxruntime-extensions. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-29.
  • Best way to combine Python and Java?
    10 projects | /r/java | 29 Oct 2022
    Image preprocessing I know less about, but tokenization is something I've dealt with a bunch. There are a few options, either push the tokenizer into the ONNX model and use MS's ONNX Runtime extensions (we've used this when working with sentencepiece tokenizers), port the tokenizer entirely to Java (we did this for BERT), or use a sentencepiece or HF tokenizers wrapper directly (e.g. Amazon's DJL did this - HF, sentencepiece).

What are some alternatives?

When comparing jep and onnxruntime-extensions you can also consider the following projects:

matplotlib4j - Matplotlib for java: A simple graph plot library for java, scala and kotlin with powerful python matplotlib

Deep Java Library (DJL) - An Engine-Agnostic Deep Learning Framework in Java

javacpp-embedded-python - With this library, you can embed Python to your Java or Scala project. The main purpose of this library is to use Python libraries from Java or Scala.

deephaven-core - Deephaven Community Core

Pyto - Python IDE for iOS with NumPy, Matplotlib, Pandas, SciPy and SciKit-Learn

Deeplearning4j - Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learning using automatic differentiation.

Programming - This repo contains my Projects and practice code of various languages which I have learned during my Graduation in Computer engineering.

JPassport - JPassport

jpy