YamlQL - A tool to query YAML files using SQL and Natural Language
YamlQL is an innovative tool designed to help users query YAML files using SQL and natural language. This powerful command-line utility and Python library transforms complex YAML structures into a relational schema, allowing you to run SQL queries seamlessly. Whether you’re dealing with configuration files, data dumps, or Kubernetes manifests, YamlQL simplifies the process of extracting valuable information from structured YAML content.
With YamlQL, you can easily discover the schema of any YAML file, write your own SQL queries, or even generate SQL queries using AI. The tool intelligently converts YAML data into an in-memory DuckDB database, enabling fast and efficient querying. You can run SQL commands like SELECT to extract specific data or use the discover command to understand the structure of your YAML file. Moreover, YamlQL supports natural language queries, allowing you to ask questions in plain English and receive SQL queries generated automatically.
The advantages of YamlQL over traditional tools like jq or yq are significant. By leveraging SQL, users can perform complex queries, including JOIN operations, which are not natively supported by other tools. This makes YamlQL particularly useful for analyzing intricate configuration files or integrating with systems that require SQL-like querying capabilities. Additionally, since YamlQL does not send your data to external servers, your information remains private and secure while you interact with the tool.
In summary, YamlQL is a powerful solution for anyone needing to query YAML files efficiently. Its combination of SQL capabilities and natural language processing makes it an invaluable tool for developers and data analysts alike. To learn more and start using YamlQL, visit YamlQL on GitHub .