YamlQL

YamlQL is a helpful tool that makes working with YAML files easy using SQL. It is a Python-based command-line tool and library. YamlQL uses DuckDB to make complex YAML structures, like those in Docker Compose, Kubernetes, and Helm charts, into a series of DuckDB tables. This lets users ask questions about their YAML data without sending it to other servers. Users can keep their data safe. Benefits YamlQL has several key advantages. It supports both manual and AI-assisted SQL questions, ensuring data security. The tool includes a discover mode that helps users explore the structure and schema of YAML files. This makes it easier to understand and work with complex YAML data. YamlQL was first created for RAG indexing and AI-native infrastructure but has proven useful for various DevOps, configuration, and data pipeline tasks. Use Cases YamlQL can be used in several scenarios. DevOps engineers can use it to manage and ask questions about configuration files for Docker Compose, Kubernetes, and Helm charts. Data engineers can use it for data pipeline tasks, ensuring secure and efficient data handling. Anyone working with YAML files can benefit from its ability to simplify and ask questions about complex data structures. Additional Information YamlQL is available on GitHub at https://github.com/AKSarav/YamlQL and can be installed via PyPI at https://pypi.org/project/yamlql/. The developer encourages community feedback to continue improving the tool.