Python Dict to YAML Converter
Convert your Python dict to YAML format using this free online converter with various advanced options.
Paste your Python dictionary literal and instantly get clean, formatted YAML output. Supports single/double-quoted strings, None/True/False, nested dicts, lists, and tuples. Includes key sorting and customizable indentation options.
Python Dict to YAML Converter
Convert your Python dict to YAML format using this free online converter with various advanced options.
About this tool
Paste your Python dictionary literal and instantly get clean, formatted YAML output. Supports single/double-quoted strings, None/True/False, nested dicts, lists, and tuples. Includes key sorting and customizable indentation options.
Enter your Python dict data to convert it to YAML format.
Output appears here...
Enter your Python dict data to convert it to YAML format.
FAQ
Common questions and answers about this topic.
What is the difference between a Python dictionary and YAML?
A Python dictionary is a data structure defined using curly braces with key-value pairs (e.g., {'key': 'value'}), supporting Python-specific types like None and tuples. YAML is a human-readable serialization format that uses indentation to represent structure, commonly used for configuration files in tools like Ansible, Docker Compose, and Kubernetes.
What Python dictionary syntax is supported?
The converter supports standard Python dictionary literals including single-quoted and double-quoted strings, numeric keys and values, None, True, False, nested dictionaries, lists, and tuples. It parses the Python literal syntax directly, so your input should be a valid Python dict expression.
Can I sort the keys alphabetically?
Yes, the sort keys dropdown lets you arrange all YAML mapping keys alphabetically (A to Z) or keep the original key order from your Python dictionary. Sorting is applied recursively through all nested mappings.
Is my data sent to any server?
No, the Python dict to YAML conversion runs entirely in your browser. Your Python dictionary data is processed locally with JavaScript and never sent to any server.