JNA
SWIG
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JNA | SWIG | |
---|---|---|
22 | 25 | |
8,219 | 5,463 | |
0.7% | 1.2% | |
7.8 | 9.8 | |
12 days ago | about 13 hours ago | |
Java | C++ | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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.
JNA
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FFM (Foreign Function and Memory API) Goes Final
As far as I understand it, with JNA, all calls into C code go through libffi: https://github.com/java-native-access/jna/blob/master/www/Fu...
This means that every call sets up some libffi data structures and libffi uses this information to perform the native call. Likewise in the other direction for return values. With JNI (and Panama), Hotspot can directly emit the argument/return code a the call, not too dissimilar from what a C or C++ compiler would do. There is still some overhead from maintaining JVM invariants. For example, I think a thread blocked in an FFI call can still participate in a safepoint. But that applies to JNI as well.
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Are there any Non-Mobile Kotlin Native libraries wrapping C libraries like libhidapi/opengl?
If you were prepared to go to the JVM you might try JNA. https://github.com/java-native-access/jna
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How to create fundamental libraries for my language?
Other good example, but for Java platform is JNA library. Do not mix it with Java's JNI, which is a bad example of how it could be done.
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Does Java 18 finally have a better alternative to JNI?
The complexity of JNI has given rise to some community-driven libraries that make it simpler to do FFI in Java. Java Native Access (JNA) is one of them. It's built on top of JNI and at least makes FFI easier to use, especially as it removes the need to write any C binding code manually and reduces the chances of memory safety issues. Still, it has some of the disadvantages of being JNI-based and is slightly slower than JNI in many cases. However, JNA is widely used and battle-tested, so definitely a better option than using JNI directly.
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JEP 419: Foreign Function and Memory API
This is about calling into any native operating system APIs, as long as they are callable via C or C++ (which these days means "all" operating system APIs).
JNI is somewhat harder to use, because you need custom glue on both sides of the border: Some custom classes in Java and some custom code on the C (and C++) side.
This proposal would remove the need for the glue on the C side and would allow a pure java solution.
Something like this has existed in third-party form for a while as JNA (https://github.com/java-native-access/jna), but now it's going to be built into the JRE itself (if the proposal passes through review)
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Choosing Java as your language for a Machine Learning project
I use JNA https://github.com/java-native-access/jna , as you can write the entire interface in Java faster as well as easier without the need of messing with the complexities of JNI.
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Creating GUI without framework or library
This (still someone else's code) will give you access to low level operating system APIs. For example, this will let you interact directly with the Windows COM, which lets you define interfaces and implement them: https://github.com/java-native-access/jna
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Obvious and possible software innovations nobody does
JNA looks reasonable for accessing native code from Java: https://github.com/java-native-access/jna/blob/master/www/Ge...
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Making Win32 APIs More Accessible to More Languages
I was the de facto maintainer of JNA (https://github.com/java-native-access/jna) win32 bindings for years. The API metadata is welcome - we have always based all work on header files in the visual studio / windows SDK. Now there’s a change to generate that code - someone might want to try to replace hand crafted mappings in JNA with generated ones - there’s a huge test suite to work with.
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Advanced AI
In case you have existing low level code in C/C++ and you want to integrate it with Java, there's https://github.com/java-native-access/jna But it's fairly unwieldy to work with, and calls Java=>C carry an overhead, so you want as few of them as possible. Which in ROTP means you want to transport all the relevant data into your AI code, then do the processing on a handful of calls, then return the result. Alternatively, an option would be to export say savegame (or other data) as JSON, run your AI module as a separate process, and then write the results to another file. While ROTP at the moment cannot do JSON save games, I have begun looking into it.
SWIG
- Swig – Connect C/C++ programs with high-level programming languages
- Using Lua with C++
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Purego – A library for calling C functions from Go without Cgo
How is this any different than a mature tool such as SWIG (https://www.swig.org/)?
I've used SWIG extensively with Python to call C code and import C headers for testing/tooling purposes.
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How does Golang communicate with C++?
For pure C, CGO. For C++ they are likely creating shims with Swig: https://www.swig.org/
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I feel really dumb whenever I take a coding test for a job
I mostly write in C and C++ so for language bindings I use Swig a lot. Say Im creating a machine learning library in C++, its very easy to create a Python API that can call the C++ classes and methods using Swig. iirc, I am using the same swig interface file to create bindings for Python, OCaml, R and even Fortran. Feel free to DM me if you got any more questions or anything!
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Is there a way to use a c++ project in a python project?
Swig can make c++ types and functions available to python.
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Boxflow - A universal layout engine written in Zig
The likes of SWIG is often used to link C library-like code to 11-ish other widely used languages.
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How do SWIG and LLVM compare as language ecosystems?
But, you might find these links interesting: * https://github.com/swig/swig/issues/918 * https://github.com/kaby76/swigged.llvm
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Recommendation for software to aid with creating a C# wrapper around a c++ library
Or take a look at the tools CppSharp or SWIG, s.a. Example for SWIG to wrap C++ library in .Net 6.
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Is there a compiler that can compile source code into a bunch of source codes for different platforms?
This sounds a bit like SWIG. You give SWIG an "interface file" describing the API of a library, and it uses that to spit out a bunch of language-specific bindings for that library.
What are some alternatives?
cffi
CppSharp - Tools and libraries to glue C/C++ APIs to high-level languages
JNR - Java Abstracted Foreign Function Layer
JavaCPP - The missing bridge between Java and native C++
Cython - The most widely used Python to C compiler
djinni
libffi - A portable foreign-function interface library.
PyCUDA - CUDA integration for Python, plus shiny features
panama-foreign - https://openjdk.org/projects/panama
Duktape - Duktape - embeddable Javascript engine with a focus on portability and compact footprint
sol2 - Sol3 (sol2 v3.0) - a C++ <-> Lua API wrapper with advanced features and top notch performance - is here, and it's great! Documentation: