Nyami vs PyArmor: A Technical Comparison

PyArmor is the most widely used Python obfuscation tool. Nyami takes a different approach: deeper per-module obfuscation, broader platform support, and a polymorphic build pipeline. Here's how they compare.

Obfuscation Architecture

PyArmor works by encrypting code objects and using a dynamic runtime loader (the "bootstrap") to decrypt them at import time. It supports script wrapping, binding to fixed machines, and expiration dates.

Nyami applies a full transformation pipeline before encryption: variable renaming, control flow flattening, MBA obfuscation, opaque predicates, junk code injection, decompiler breaking, then encrypts the result with polymorphic AES-256-GCM. Each build is structurally unique.

Anti-Tamper

Both tools include integrity checks, but Nyami adds integrity verification through a custom code-object serializer, anti-dump (memory zeroing of code objects), and 11 anti-debug methods covering process, hardware, VM, timing, stack, and registry detection.

Decompiler Resistance

Nyami's decompiler_breaker module specifically targets decompiler AST recovery by corrupting EXTENDED_ARG chains, a technique most Python obfuscators don't use. Combined with control flow flattening and opaque predicates, Nyami's output resists all major Python decompilers including pylingual, pycdc, and uncompyle6.

Pricing

Which one should you choose?

Both tools are legitimate. The right choice depends on your threat model, budget, and deployment environment.