What is YamlQL?
YamlQL - Query YAML files with SQL and Natural Language discover – Introspect the structure of any YAML file as a table schema sql – Write your own SQL queries over YAML data ai – Generate SQL queries using LLM (no data is sent; just the schema)
Problem
Users manually parse YAML files with code scripts or limited tools, struggling with complex data extraction and inefficient workflows
Solution
A CLI/SDK tool allowing users to query YAML files via SQL or natural language prompts powered by local AI, enabling schema introspection and data analysis without external data transmission
Customers
Developers, data engineers, and DevOps teams working with YAML configurations in Kubernetes, CI/CD pipelines, or infrastructure-as-code environments
Unique Features
Local LLM integration for SQL generation (no cloud dependency), YAML-to-relational-table schema mapping, and hybrid SQL/natural language interface
User Comments
Revolutionizes YAML data analysis workflows
Eliminates custom parsing scripts
Natural language to SQL works surprisingly well
Essential for Kubernetes operators
Local AI ensures data privacy
Traction
Launched on ProductHunt 2023-10-26 with 120+ upvotes
Used in 15+ open-source projects per GitHub integration data
Publicly visible founder with 1.2k GitHub followers
Market Size
YAML usage in 74% of Kubernetes deployments (CNCF 2022), with $4.3B DevOps tools market growing at 24% CAGR (Grand View Research 2023)
