How do I protect Python code?

The very nature of Python makes the task of protecting the source code complicated because nothing can be protected against reverse engineering. Python, being a byte-code-compiled interpreted language, is very difficult to lock down. Even if you use a exe-packager like py2exe , the layout of the executable is well-known, and the Python byte-codes are well understood. However, following are a few measures you can take to make it more difficult for others to access or understand your code:

Code Obfuscation

Use a code obfuscation tool to transform your Python code into a less readable form. Code obfuscation techniques change the structure and naming conventions of the code, making it harder to understand. While this doesn't provide strong security, it can deter casual attempts to read the code.

Bytecode Compilation

Python bytecode compilation converts the source code into bytecode, which is then executed by the Python interpreter. By distributing the compiled bytecode (.pyc files) instead of the source code, you can make it more challenging to read the code. However, it's important to note that bytecode can still be decompiled back to source code, although it may be more difficult for an average user.

Code Encryption

You can encrypt your Python code using encryption algorithms to make it unreadable without the appropriate decryption key. However, this approach requires the decryption key to be provided during runtime, which means someone with access to the key can still decrypt and read the code.

Distribute as Compiled Executable

You can distribute your Python code as a standalone executable by using tools like PyInstaller or Py2exe. These tools package your code along with the Python interpreter, making it more difficult for users to access or modify the original source code. However, keep in mind that it is still possible to reverse-engineer or extract the code from the executable.

License and Legal Protection

Consider adding a license to your code to specify the terms of use and restrict unauthorized distribution or modification. Consult with legal professionals to understand the legal options available for protecting your code.


While these measures can make it more challenging to access or understand your Python code, they do not provide absolute security. Determined individuals with enough knowledge and resources may still be able to reverse-engineer or bypass the protections.