PyVMProtect vs PyArmor
PyArmor encrypts bytecode and decrypts it into CPython's eval loop. PyVMProtect replaces Python bytecode entirely with a custom native virtual machine. See why true runtime virtualization eliminates memory dump vulnerabilities.
TL;DR
PyArmor distributes protected scripts using .py files and a native pyarmor_runtime.pyd/.so extension that decrypts obfuscated bytecode in memory for the CPython interpreter. Because it relies on standard CPython frame execution, it remains vulnerable to memory dumping and eval-frame hooks. PyVMProtect compiles proprietary logic into a private native virtual machine (.pyd/.so), wiping all Python bytecode and symbols from disk and memory. Choose PyVMProtect for high-value algorithms, trade secrets, and robust IP protection.
Technical Comparison Matrix
1. Core Security Architecture
| Evaluation Dimension | PyArmor (Standard & BCC modes) | PyVMProtect |
|---|---|---|
| Runtime Execution Layer | Armored bytecode executed inside standard CPython eval loop | Custom Native Stack Virtual Machine operating outside CPython |
| Python Bytecode Elimination | Bytecode payloads bundled in .py / .pyd and decrypted in CPython memory | Zero Python Bytecode (compiled into native machine instructions & custom VM bytecode) |
| Per-Build Polymorphism | Static runtime execution engine per PyArmor version | Complete Polymorphism (fresh instruction mappings and crypto seeds per build) |
| Constant & Literal Shielding | Decrypted into standard plaintext Python string objects in memory | Per-build encrypted constant storage with transient memory decryption and zero leaks |
2. Reverse-Engineering Defense
| Evaluation Dimension | PyArmor (Standard & BCC modes) | PyVMProtect |
|---|---|---|
| Memory Dumper & Frame-Hook Immunity | Vulnerable to CPython eval-frame hooks (e.g. PyEval_SetProfile, memory snapshots) | Immune to CPython frame dumping (eval loop is not in the execution chain) |
| BCC Mode (Bytecode to C) Scope | Selective C conversion (module bodies, async functions & generators stay bytecode) | Comprehensive virtualization and native acceleration across all language constructs |
| Active Anti-Debug & Tamper Traps | Basic loader verification; vulnerable to debugger attach and memory patching | Native anti-debug detection, memory protection & instant tamper self-destruct |
3. Runtime Performance & Hot Paths
| Evaluation Dimension | PyArmor (Standard & BCC modes) | PyVMProtect |
|---|---|---|
| Compute Path Execution Speed | Standard CPython bytecode speed (or native speed for BCC-eligible functions) | True native C speed on compute paths; VM security on core logic |
| Module Import Latency | Runtime helper module overhead per imported module | Instant native extension initialization with minimal startup footprint |
4. Enterprise Packaging & Tooling
| Evaluation Dimension | PyArmor (Standard & BCC modes) | PyVMProtect |
|---|---|---|
| Hardware-Locked Licensing | Basic Python-level machine locking (vulnerable to hook bypasses) | Cryptographic VM-bound hardware licensing module (currently in active development) |
| Automated CI/CD Integration | Local CLI only (pyarmor) | Native CLI tool + Enterprise Cloud REST API for automated CI/CD pipelines |
| Modern Python Platform Scope | Broad support across legacy and modern Python (3.5 - 3.13) | Hardened targeting for Python 3.11, 3.12, 3.13 on Windows x64 and Linux x64 |
What strings actually reveals
The fastest reverse-engineering move against any compiled binary is a one-line strings dump. Standard tools leave plaintext string constants in the binary; PyVMProtect encrypts every string and bytes literal with per-build keys and decrypts them only transiently in memory.
Choose PyVMProtect when your logic is the asset.
Choose PyArmor if you only need superficial obfuscation for legacy Python scripts. Choose PyVMProtect if you are protecting high-value intellectual property like licensing validation, key generation, proprietary algorithms, or trade secrets, and you need true native virtualization that Python decompilers and memory dumpers cannot follow.
Methodology & honesty note
This comparison reflects PyVMProtect Engine v9.1 BETA public capabilities and PyArmor's documented behavior as of its PyArmor 8.x / 9.x releases. PyArmor is actively developed and its protection features evolve over time. If something here is out of date, tell us on Discord and we'll correct it.