3 个仓库
Mechanisms for representing complex data types, including unions and variants, within serialized binary streams.
Distinguishing note: Specifically addresses the encoding of polymorphic types and union structures in binary data.
Explore 3 awesome GitHub repositories matching data & databases · Data Encoding Schemes. Refine with filters or upvote what's useful.
FlatBuffers is a cross-platform serialization library designed for performance-critical applications that require efficient, zero-copy data access. By organizing data in a structured binary format, it allows applications to read and write complex data structures directly from memory-mapped buffers without the need for intermediate parsing or temporary object allocation. The project distinguishes itself through a schema-driven approach that balances high-performance access with long-term data evolution. It utilizes a unique memory layout featuring relative offsets and inline fixed-size structu
FlatBuffers encodes union types by combining an enumeration constant for the selected choice with a relative offset to the actual data element.
Moshi is a JSON serialization library and parser for Kotlin and Java. It functions as a reflectionless JSON encoder that converts typed objects to JSON strings and parses JSON data back into language objects. The library distinguishes itself through compile-time adapter generation, which removes the performance overhead associated with runtime reflection. It also provides a polymorphic JSON mapper that uses type identifiers to resolve and instantiate specific subclasses of a common base type. The framework supports custom adapter definitions for specialized type conversion, including nullabi
Uses qualifiers to apply different encoding rules to the same data type based on the specific field context.
Veil is a payload generation framework and a suite of tools designed to automate the creation of obfuscated binaries and encoded shellcode. It functions as an anti-virus evasion tool that transforms binary code to bypass security scanners and endpoint detection software. The framework utilizes multi-language payload generation, employing various programming language compilers to create executables that evade signature-based detection. It includes an evasive shellcode encoder to remove forbidden characters and apply obfuscation techniques to hide payload logic. The project covers the generati
Transforms binary machine code into encoded formats to eliminate forbidden characters and avoid pattern matching.