Python Dict Formatter
Free online Python Dict Formatter tool. Format, beautify, sort keys, and validate Python dictionary literals instantly. No registration required.
Python Dict Formatter
Format, beautify, and validate Python dictionary literals instantly in your browser.
Python Dict Editor
Formatter Options
About Python Dict Formatter
Our free Python Dict Formatter is a powerful tool for formatting, beautifying, and validating Python dictionary literals. Whether you're debugging, refactoring, or simply trying to read complex nested dictionaries, this tool makes it easy.
Why Use This Tool? Python dictionaries are fundamental data structures, but manually formatting them can be tedious. This formatter automatically handles indentation, quote styles, sorting, and validation according to PEP 8 style guidelines.
- Format with customizable indentation (2 or 4 spaces, or tabs)
- Toggle between single and double quotes
- Sort dictionary keys alphabetically
- Add or remove trailing commas
- Minify dictionaries for compact storage
- Real-time syntax validation
- Works 100% in your browser for privacy
Simply paste your Python dictionary literal, click Format, and get a beautifully formatted result instantly. Perfect for Python developers, data scientists, and anyone working with Python data structures.
How to Use
Using the Python Dict Formatter is simple:
- Paste or type your Python dictionary literal into the editor.
- Click Load File to import from a .py or .txt file, or Sample to see example data.
- Customize formatting options: indent style, quote type, and trailing commas.
- Click Format to beautify, Sort Keys to alphabetize, or Minify to compress.
- Copy the formatted result to your clipboard.
Frequently Asked Questions
What Python syntax is supported?
This tool supports standard Python dictionary literals including nested dictionaries, lists, strings, numbers, booleans (True/False), and None values. It handles both single and double quotes.
Can I format nested dictionaries and lists?
Yes! The formatter handles arbitrarily nested structures. Dictionaries can contain lists, which can contain more dictionaries, and so on. The formatting is applied recursively to maintain readability.
What's the difference between spaces and tabs for indentation?
Python's PEP 8 style guide recommends 4 spaces for indentation. However, some teams use 2 spaces or tabs. This tool lets you match your project's style. Tabs are more compact but can cause display issues in some editors.
Why would I remove trailing commas?
Trailing commas are allowed and recommended in Python for multi-line dictionaries as they make version control diffs cleaner. However, you might remove them for single-line dictionaries or when working with older Python versions.
Is my data private?
Completely. All processing happens in your browser using JavaScript. Your Python code is never sent to any server, ensuring complete privacy and security for your sensitive data.
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Features
- 100% Free
- No registration required
- Fast processing
- Secure & private