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  5. CUE vs YAML

CUE vs YAML

OverviewComparisonAlternatives

Overview

YAML
YAML
Stacks634
Followers285
Votes0
CUE
CUE
Stacks9
Followers22
Votes0
GitHub Stars3.1K
Forks169

CUE vs YAML: What are the differences?

Introduction

CUE and YAML are both popular languages used for writing configuration files. While they have some similarities, there are also key differences between them.

  1. Document Structure: In YAML, documents are structured using indentation and key-value pairs, making it easy to read and write. On the other hand, CUE uses a more declarative approach, where configurations are defined as rules and constraints. This allows for more strict validation and auto-completion of configuration files.

  2. Type System: YAML has a loose and flexible type system, allowing for easy modification and update of configuration values. CUE, on the other hand, has a more strict and robust type system, enabling strong typing and validation of configuration values. This ensures that only valid and expected values are accepted.

  3. Syntax: YAML uses indentation and colons for key-value pairs, which can be more readable for humans. CUE, on the other hand, uses braces and colons for defining rules and constraints, which can be more suitable for machines and automated validation processes.

  4. Overriding and Composition: In YAML, configuration values can be easily overridden and merged together using techniques like anchors and references. CUE provides a similar functionality called "Struct composition", which allows for building complex configurations by combining simpler ones. However, CUE also offers additional features like default values and field constraints.

  5. Validation and Error Handling: YAML provides limited support for validation and error handling, relying on external tools to detect errors or enforce constraints. CUE, on the other hand, has built-in support for validating and enforcing constraints through its type system. It can detect errors and inconsistencies in the configuration file during the build process itself.

  6. Extensibility: YAML allows for easy extensibility through the use of custom tags and libraries. CUE also supports extensibility through its schema and package system. It allows for defining reusable configurations and importing them into the main configuration file.

In summary, CUE and YAML have different approaches to configuration file formatting, type systems, syntax, validation, and extensibility. CUE provides a more strict and robust way of defining configurations, with built-in validation and type checking. YAML, on the other hand, offers a simpler and more human-readable format, with ease of extensibility and override capabilities.

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Detailed Comparison

YAML
YAML
CUE
CUE

A human-readable data-serialization language. It is commonly used for configuration files, but could be used in many applications where data is being stored or transmitted.

It is an open source data constraint language which aims to simplify tasks involving defining and using data. It can be used for data templating, data validation, and even defining scrips operating on data.

-
Automatically simplify configurations; Rich APIs designed for automated tooling; Formatter; Arbitrary-precision arithmetic; Generate CUE templates from source code; Generate source code from CUE definitions (TODO)
Statistics
GitHub Stars
-
GitHub Stars
3.1K
GitHub Forks
-
GitHub Forks
169
Stacks
634
Stacks
9
Followers
285
Followers
22
Votes
0
Votes
0
Pros & Cons
No community feedback yet
Pros
  • 0
    Lower cost
Integrations
Java
Java
.NET
.NET
Ruby
Ruby
Python
Python
OCaml
OCaml
Golang
Golang
JSON
JSON
Kubernetes
Kubernetes
Protobuf
Protobuf
OpenAPI Specification
OpenAPI Specification

What are some alternatives to YAML, CUE?

JavaScript

JavaScript

JavaScript is most known as the scripting language for Web pages, but used in many non-browser environments as well such as node.js or Apache CouchDB. It is a prototype-based, multi-paradigm scripting language that is dynamic,and supports object-oriented, imperative, and functional programming styles.

Python

Python

Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best.

PHP

PHP

Fast, flexible and pragmatic, PHP powers everything from your blog to the most popular websites in the world.

Ruby

Ruby

Ruby is a language of careful balance. Its creator, Yukihiro “Matz” Matsumoto, blended parts of his favorite languages (Perl, Smalltalk, Eiffel, Ada, and Lisp) to form a new language that balanced functional programming with imperative programming.

Java

Java

Java is a programming language and computing platform first released by Sun Microsystems in 1995. There are lots of applications and websites that will not work unless you have Java installed, and more are created every day. Java is fast, secure, and reliable. From laptops to datacenters, game consoles to scientific supercomputers, cell phones to the Internet, Java is everywhere!

Golang

Golang

Go is expressive, concise, clean, and efficient. Its concurrency mechanisms make it easy to write programs that get the most out of multicore and networked machines, while its novel type system enables flexible and modular program construction. Go compiles quickly to machine code yet has the convenience of garbage collection and the power of run-time reflection. It's a fast, statically typed, compiled language that feels like a dynamically typed, interpreted language.

HTML5

HTML5

HTML5 is a core technology markup language of the Internet used for structuring and presenting content for the World Wide Web. As of October 2014 this is the final and complete fifth revision of the HTML standard of the World Wide Web Consortium (W3C). The previous version, HTML 4, was standardised in 1997.

C#

C#

C# (pronounced "See Sharp") is a simple, modern, object-oriented, and type-safe programming language. C# has its roots in the C family of languages and will be immediately familiar to C, C++, Java, and JavaScript programmers.

Scala

Scala

Scala is an acronym for “Scalable Language”. This means that Scala grows with you. You can play with it by typing one-line expressions and observing the results. But you can also rely on it for large mission critical systems, as many companies, including Twitter, LinkedIn, or Intel do. To some, Scala feels like a scripting language. Its syntax is concise and low ceremony; its types get out of the way because the compiler can infer them.

Elixir

Elixir

Elixir leverages the Erlang VM, known for running low-latency, distributed and fault-tolerant systems, while also being successfully used in web development and the embedded software domain.

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