Free java to native software for linux

clip2png is a native java utility that easily saves your current clipboard image (or screen image) to a PNG image file on your desktop.

No setup or configuration required - just run the jar!

JavaNativeCompiler (JNC) is a Java to native compiler. The project allows AOT (ahead of time) compilation of your Java applications. With JNC, you can create real standalone native binaries (.exe on Windows) which will no longer depend on a JRE.
This is especially useful when applications have to be deployed to end-users. All vexatious problems of deploying Java applications can be solved by compiling them to native. They will be:
- Easy to deploy
No JRE dependency. Most end-users dont know what they have installed.
No more problems on how to create an executable file out of a JAR or class file.
- Hard to decompile
Java can easily be decompiled. Native compilation will protect your source code.
- Run fast from the start
No more overhead for loading a JRE.
Enhancements:
- This release fixes a couple of problems with AWT/Swing and XML.
- It also once again contains a version for Linux.
- The compiler binary downloads are smaller.

Java for C++ is a tool to generate C++-wrapper-classes for existing Java-classes. This tool reads a list of Java class names and creates source code for C++-classes to wrap them.
The implementation of the wrapper classes uses JNI (Java Native Interface) to call the "real" Java classes.
The C++-API to use these wrapper classes is very close to the API of the original Java classes. So developers of C++-software can use Java-classes as if they have been implemented in C++.
Enhancements:
- A problem where null values for method arguments, method return values, or field values caused some generated code to crash was fixed.
- Updating is strongly encouraged.

Vexi is a Visual, Extensible, XML Interfaces.

Vexi is written in Java, but compiled into native binaries using GCJ and are combined with launchers that work natively in popular web browsers.

Fast MD5 Implementation in Java is a heavily optimized implementation of the MD5 hashing algorithm written in Java.
Fast MD5 Implementation in Java includes an optional native method for even greater speed improvements.
How Fast Is It?
Short answer:Much faster than any other Java implementation that I have tested and (surprisingly) even faster than the native, non-Java MD5 implementation on some systems.
Long answer:First of all, it is important to note that the term "fast" is used here in relative terms. The implementation of the MD5 message digest algorithm available on this page is written in Java and is fast compared with other implementations written in Java, both because it is heavily optimized by itself and because there is an optional native method that makes it even faster when the platform supports it. How it compares to a sensible implementation written in a language, such as C, that is compiled directly to machine code, is heavily dependent upon how good of a job the JIT compiler in your JVM does in compiling the code or whether you are able to use the optional native method.
Enhancements:
- Martin West contributed a bug fix and some code refactoring to make all targets work out of the box in the Ant build file. Previously, the "dist" target did not work if the "docs" directory was not present.

wx4j project is a Java binding for wxWindows.

It provides a Java GUI toolkit using native widgets (to utilize the native look and feel).

This is in contrast to Swing/JFC which tries to mimic the native look and feel, but usually doesnt quite feel right. In this respect, it is very similar to the SWT toolkit used in IBMs Eclipse IDE. But rather than inventing yet another toolkit, wx4j utilizes the proven wxWidgets C++ library and uses SWIG to expose the API in Java. This also means the event loop executes in C++ and is very responsive.

db4o is designed to be a simple, easy-to-use, and fast, native object database. Software developers using popular Java and .NET object-oriented frameworks know that using object databases is a more natural way to get work done. Developers have three ways to storing and retrieving data: relational, non-native object and native object.
Relational databases, such as Oracle, IBMs DB2 and Microsofts SQL server, store data in a tabular, row-and-column metaphor. The organization of traditional data in a relational database is easy to understand. The concept took off and today most data is stored in relational databases.
However, as object-oriented models became popular, developers were spending time trying to map objects into a relational database. Today, developers are forced to rely on relational-to-object mappers, but this technology compromise adds a layer of complexity and degrades performance. It is best suited for organizations that rely on legacy data.
Non-native object databases came on to the market in the early 1990s with great fanfare. But their promise was largely unfulfilled. Developers found the technology expensive, complex and hard to use. The first native object databases had similar shortcomings.
db4o is based on new native object database technology. db4o offers .NET and Java developers the simplest and easiest way to store objects. db4o is the only native object database designed for both Java and .NET, supplied as one single programming library (Java: .jar /.NET: .dll) to be included with developer applications.
Main features:
- One line of code to store objects
- Native Java / .NET
- Class model == database schema
- Smooth production process
- Automatic schema versioning
- Query by example
- S.O.D.A. active queries
- 250kB footprint
- Saves more than 50% costs to develop your application
- Saves more than 50% time to release your application
- No need for training and administration
- Build lean, structured and manageable code
- Improve your software lifecycle with better refactorability and re-use
Enhancements:
- This release comes with a dedicated version for OSGi.
- It also includes significant recent performance enhancements based on a new IoAdapter cache and Client/Server message batching.
- A new BTree-based FreespaceManager allows running with less memory consumption and zero-space-loss on abnormal terminations, for instance when turning off a handheld in the middle of a commit.
- New committed callbacks allow pushed updates for Client/Server mode.
- A very first implementation of Transparent Activation is also included.