JPassport | jpy | |
---|---|---|
3 | 1 | |
54 | 66 | |
- | - | |
6.4 | 7.3 | |
23 days ago | 5 days ago | |
Java | C | |
Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.
JPassport
- Best way to combine Python and Java?
-
Replacing JNI with Panama in the SQLite JDBC driver
Some time ago I made a library that's intended to make using Panama easier (JPassport). There's no point in having a library that doesn't work on a real world project, so I wanted to convert an existing JNI project to Panama.
-
JPassport
JPassport is a library that makes using the new Foreign Linker API easier. The library is used similar to JNA - all that is required is a Java interface and a library name.
jpy
-
Best way to combine Python and Java?
Jpy: a library that runs an interpreter in the JVM. Spare the service start/stop, but: isn't really feasible for more than a single-liner, data translation between Java and Python is cumbersome, and I also encountered runtime segmentation fault errors.
What are some alternatives?
sqlite-jdbc - SQLite JDBC Driver
onnxruntime-extensions - onnxruntime-extensions: A specialized pre- and post- processing library for ONNX Runtime
jep - Embed Python in Java
dbus-java - Improved version of java DBus library provided by freedesktop.org (https://dbus.freedesktop.org/doc/dbus-java/)
deephaven-core - Deephaven Community Core
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.
Deep Java Library (DJL) - An Engine-Agnostic Deep Learning Framework in Java
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.