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Minify and obfuscate Python source in your browser, with optional global-name and annotation handling.
Current single-file limit: 1 MB (guest 1 MB / member 2 MB / advanced 5 MB / professional 20 MB)
Options
Local processing: Pyodide and Python-Minifier run in your browser; source stays on this device. First use loads about 10 MB of Python WebAssembly runtime and the minifier from jsDelivr.
Obfuscation is not encryption. Globals accessed dynamically are preserved by default; enable global renaming only if your code does not rely on reflection or similar behavior.
Overview
Understand what the tool solves, how it works, and the boundaries of its data.
Python obfuscation commonly shortens identifiers and removes whitespace or comments that do not affect execution, making source slower to read at a glance. This tool processes one Python source file in the browser and produces a downloadable .py. It is not a compiler and does not turn source into native machine code; the result remains Python source.
Shortening local names is aimed at temporary identifiers inside functions. Changing globals can affect module exports, reflection, dynamic imports, serialization, framework registration, and references in other files, so it is optional. Removing annotations can also affect frameworks that inspect them at runtime. Obfuscation raises the cost of casual inspection but does not provide encryption or strong access control.
Guide
Follow the workflow and verify inputs and outputs with practical examples.
Enter Python code or select one .py file. Confirm that the source parses in the Python environment you target; syntax errors, decompiler fragments, or incomplete code may not be processable.
Renaming locals usually has a narrower scope. If your project looks up local names by string, relies on debugger-visible names, or uses unusual reflection, run the transformed file in the real application before distributing it.
Keep public functions, classes, module entry points, plugin keys, and serialized fields stable. If you enable global renaming, list externally referenced names to preserve and review import conventions in every related file.
Review the transformed source and character counts, paying attention to decorators, annotations, dynamic attribute access, and exception paths. Save the output as a new file and run checks in the target environment instead of overwriting the only original.
Use cases
See how the tool fits into real work and everyday tasks.
An instructor or support engineer can remove redundant spacing and shorten local names before attaching a compact demonstration script to a lesson or ticket.
A team can make a non-secret, single-file helper less immediately readable while keeping confirmed public entry points stable, then verify that its normal tasks still work.
When a long script must fit into a ticket, document, or code snippet, minified output can remove visual whitespace. This changes presentation and does not promise a smaller project bundle or faster execution.
Q&A
Find concise answers to common questions and confusing cases.
The input may already be compact, or safety checks may leave names unchanged when a rename cannot be made reliably. Local-name shortening is limited to scopes where references can be tracked, with syntax and name binding taking priority.
No. Reflection, dynamic imports, serialization, framework callbacks, and cross-file calls may depend on fixed names. Preserve public interfaces and string-based conventions, and consider global renaming only when you control all references.
Annotations are often consumed by static tools, but frameworks can inspect them at runtime for validation, dependency injection, or command-line interfaces. Check how your project uses annotations and exercise affected paths before enabling removal.
No. The output is still Python source and anyone with the file can analyze or reformat it. Obfuscation only slows casual reading; it is not a substitute for secret management, server-side authorization, or access controls.
Notes
Review scope, result limitations, and important precautions before use.
Dynamic code execution, name lookup through getattr or string reflection, plugin systems, decorators, and serialization frameworks can depend on exact source identifiers. Python syntax and interpreter versions also affect what can be parsed. Test critical paths with the actual interpreter and dependencies, and keep an untouched copy for rollback.
Source processing runs in the local browser and the source is not uploaded as an obfuscation job. The first use loads a Python WebAssembly runtime and minifier resources; make sure those static resources can be reached. Do not treat this tool as encryption, license enforcement, or a barrier against skilled reverse engineering.
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