Who makes GrammaTech DDisasm vs RetDec?

**GrammaTech DDisasm** is developed by GrammaTech. **RetDec** is open-source with 8,510 GitHub stars. Vendor maturity, funding stage, and team size can be important factors when evaluating long-term viability and support quality.

Is GrammaTech DDisasm a good alternative to RetDec?

GrammaTech DDisasm and RetDec serve similar Digital Forensics and Incident Response use cases: both are Digital Forensics and Incident Response tools, both cover Reverse Engineering, Binary Analysis. Key differences: RetDec is open-source. Review the feature comparison above to determine which fits your requirements.

GrammaTech DDisasm vs RetDec: 2026 Comparison Guide

Q: What is the difference between GrammaTech DDisasm vs RetDec?

**GrammaTech DDisasm**: Fast disassembler producing reassemblable assembly code using Datalog. built by GrammaTech. Core capabilities include ELF file parsing and instruction decoding, Datalog-based disassembly rules and heuristics, Code location identification.. **RetDec**: RetDec is an LLVM-based decompiler that converts machine code from various architectures and file formats back into readable C-like source code for reverse engineering and malware analysis.. Both serve the Digital Forensics and Incident Response market but differ in approach, feature depth, and target audience.

GrammaTech DDisasm: Fast disassembler producing reassemblable assembly code using Datalog. built by GrammaTech. Core capabilities include ELF file parsing and instruction decoding, Datalog-based disassembly rules and heuristics, Code location identification..

RetDec: RetDec is an LLVM-based decompiler that converts machine code from various architectures and file formats back into readable C-like source code for reverse engineering and malware analysis..

Both serve the Digital Forensics and Incident Response market but differ in approach, feature depth, and target audience.

GrammaTech DDisasm vs RetDec: Side-by-Side Comparison (2026)

GrammaTech DDisasm

RetDec

Side-by-Side Comparison

NIST CSF 2.0 Mapping

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