CUE

cuelang.org ↗

Define and validate data and configuration with a language that combines values and constraints.

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Homepage screenshot
Screenshot of the CUE homepage

What it does

CUE is a language and command-line tool for describing, validating, and processing structured data and configuration. Its values can express both data and constraints, so a schema and a YAML or JSON file can be checked together. The official tutorial demonstrates defining a schema and using `cue vet` to find invalid fields. CUE suits teams that need repeatable validation rules across configuration, data files, and APIs.

A practical first exercise is to define a small CUE schema for a YAML file, then validate the file with the cue vet command. The official tutorial walks through installing the command, writing a schema, checking one data file, correcting type or value conflicts, and validating multiple files. For instance, a deployment configuration could require an integer replica count and restrict a service type to known values. CUE combines types and values, and constraints can describe relationships within data rather than only checking isolated fields. The command-line tool also supports working with JSON and YAML; the documentation offers a browser-based playground for trying the language before installing it. A useful tip is to keep the schema next to the configuration it validates so the intended constraints stay reviewable. CUE is Apache-2.0-licensed. Its concise constraint language has concepts beyond ordinary YAML, so a team should try a representative schema before adopting it across many services. It validates and combines data; it does not replace the deployment system that consumes that data.

Strengths

  • The tutorial presents a concrete schema-and-data validation workflow with `cue vet`.
  • The same language can express values and constraints and work with common structured-data formats.
  • The official installation guide offers a browser playground as an option before installing the CLI.

Watch out for

  • Teams need to learn CUE's language model and constraint syntax before maintaining complex schemas.
  • CUE checks and processes data but does not deploy or operate the systems described by that data.

Best for

  • Validating YAML, JSON, and other structured configuration against reusable constraints.
  • Teams that want schema rules to express relationships between fields.
  • Developers who need a command-line validation step that can run before configuration is consumed.

Sources