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JSON vs RST

JSON vs RST

Una comparativa detallada de JSON Data y reStructuredText — tamaño de archivo, calidad, compatibilidad y cuál elegir según tu flujo de trabajo.

Convertir JSON → RST
JSON

JSON Data

Documents & Text

JSON (JavaScript Object Notation) is a lightweight data interchange format that is human-readable and easy for machines to parse and generate. It has become the dominant format for web APIs, configuration files, and structured data exchange.

Sobre los archivos JSON
RST

reStructuredText

Documents & Text

RST (reStructuredText) is a lightweight markup language used in Python documentation.

Sobre los archivos RST

Comparativa de ventajas

JSON Ventajas

  • Dead-simple — you can memorize the entire grammar on one page.
  • Native parsers in every programming language.
  • Human-readable and easy to debug.
  • Compact — much smaller than equivalent XML.
  • Frozen spec — a JSON parser written in 2010 still handles new JSON files from 2026.

RST Ventajas

  • Rich directives for admonitions, code, math, and custom elements.
  • Cross-references work within and across documents.
  • Sphinx ecosystem offers best-in-class Python docs output.
  • Standardized as part of Python PEP infrastructure.
  • Plain text, version-controllable.

Limitaciones

JSON Limitaciones

  • No comments allowed — config files feel verbose.
  • No trailing commas — a constant source of parse errors.
  • No native date, decimal, or binary types — everything is strings or numbers.
  • Easily bloated by repeated keys; large payloads compress poorly vs binary alternatives.
  • Streaming is awkward — JSON wants to be parsed whole.

RST Limitaciones

  • Syntax denser than Markdown — higher learning curve.
  • Less widely adopted than Markdown outside Python world.
  • Multiple directive dialects (Sphinx, Docutils, custom) create fragmentation.
  • MyST (Markdown + Sphinx) has pulled many Python projects toward Markdown.

Especificaciones técnicas

Especificación JSON RST
MIME type application/json text/x-rst
Extension .json .rst
Standard ECMA-404, RFC 8259 —
Encoding UTF-8, UTF-16, or UTF-32 UTF-8
Allowed types object, array, string, number, boolean, null —
Toolchain — Docutils, Sphinx, Read the Docs
Related formats — MyST (Markdown + RST directives)

Tamaños típicos de archivo

JSON

  • Small config < 1 KB
  • REST API payload 1-100 KB
  • Database export 10 MB - 100 GB

RST

  • API reference page 5-50 KB
  • Sphinx project chapter 20-100 KB
  • Full library documentation 500 KB - 10 MB

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Frequently Asked Questions

JSON (JavaScript Object Notation) is a lightweight text format for data exchange, popularized by Douglas Crockford around 2001. JSON represents nested objects, arrays, strings, numbers, booleans, and null values in a syntax derived from JavaScript. It is the default data format for modern web APIs.

JSON files are plain text — open them in any text editor (Notepad, VS Code, Sublime Text, TextEdit). For formatted reading, use JSON-aware editors (VS Code auto-indents) or online viewers like jsonformatter.org. Every web browser displays JSON directly if you open the file locally.

Use KaijuConverter's JSON-to-CSV converter for nested data flattened into a tabular format. For simple flat JSON (array of objects), command-line tools like jq + csvkit give more control. Python's pandas and JavaScript's PapaParse also handle the conversion in one line of code.

JSON for machine-to-machine data exchange (APIs, config) — strict spec, fast parsers in every language. YAML for human-edited config files — supports comments, multi-line strings, and references. Kubernetes, Docker Compose, and GitHub Actions use YAML; REST APIs overwhelmingly use JSON.

JSON's strict specification disallows comments to keep parsers simple and unambiguous. Workarounds include JSONC (JSON with Comments, used by VS Code config), JSON5 (relaxed syntax with comments), or a convention of adding a "comment" or "_doc" field in your data.

JSON itself cannot execute code like JavaScript eval() can, making it safer than older exchange formats. However, deeply nested JSON can exhaust memory (a "billion laughs" variant) — use streaming parsers and limit recursion depth when processing untrusted input.