Showing 4 open source projects for "multi-system"

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  • 1
    Mixin

    Mixin

    Mixin is a trait/mixin and bytecode weaving framework for Java

    Mixin is a trait/mixin framework for Java using ASM and hooking into the runtime classloading process via a set of pluggable built-in or user-provided services. Built-in services currently support Mojang's LegacyLauncher system, though this is deprecated in favor of ModLauncher by cpw, which has greater extensibility and has support for Java 8 and later. Additional documentation for individual features and annotations can be found in the extensive Javadoc. For additional help use the channel #mixin on the Sponge Discord Server. For handling obfuscation tasks, Mixin provides an Annotation Processor which works at compile time to generate obfuscation mappings for your toolchain to apply. ...
    Downloads: 8 This Week
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  • 2
    Simplify

    Simplify

    Android virtual machine and deobfuscator

    Simplify virtually executes an app to understand its behavior and then tries to optimize the code so that it behaves identically but is easier for a human to understand. Each optimization type is simple and generic, so it doesn't matter what specific type of obfuscation is used. Provides a virtual machine sandbox for executing Dalvik methods. After executing a method, it returns a graph containing all possible register and class values for every execution path. It works even if some values...
    Downloads: 2 This Week
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  • 3
    Yet another Java obfuscation tool. This one has a bit of a different twist, in that it can obfuscate native methods by generating a .h file which #defines the original method names to the obfuscated ones. Built with Apache BCEL.
    Downloads: 0 This Week
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  • 4
    JarSpy - The Java Archive Spy. JarSpy provides insight into the contents of Java archive files (.jar, .zip, .ear, .war etc.). Eventually, JarSpy will provide the ability to modify the contents of Java archive files for instrumentation, obfuscation etc.
    Downloads: 0 This Week
    Last Update:
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    Train ML Models With SQL You Already Know

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