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JSON Formatter & Validator VS YAML

Compare JSON Formatter & Validator VS YAML and see what are their differences

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JSON Formatter & Validator logo JSON Formatter & Validator

The JSON Formatter was created to help with debugging.

YAML logo YAML

YAML 1.2 --- YAML: YAML Ain't Markup Language
  • JSON Formatter & Validator Landing page
    Landing page //
    2021-10-08
  • YAML Landing page
    Landing page //
    2021-10-22

JSON Formatter & Validator features and specs

  • User-Friendly Interface
    The website has a clean, intuitive design that makes it easy for users to paste their JSON text and quickly format or validate it.
  • Real-time Validation
    As soon as the JSON data is pasted, it automatically validates and provides errors, helping users quickly identify and fix issues.
  • Clear Error Messages
    The tool provides detailed error messages, which makes it easier for users to understand where their JSON is failing validation.
  • Formatting Options
    It provides options to pretty-print JSON, making data easier to read and analyze.
  • No Installation Required
    Being a web-based tool, it requires no download or installation, making it easily accessible from any browser.

Possible disadvantages of JSON Formatter & Validator

  • Internet Connectivity Required
    Because it is a web-based tool, it requires an internet connection to use, which can be a limitation in offline scenarios.
  • Security Concerns
    Pasting sensitive JSON data into a web-based tool can pose security risks, especially if the data contains confidential information.
  • Limited Advanced Features
    The tool does not offer advanced features such as JSON schema validation or linting capabilities that some developers might need.
  • Performance with Large Files
    The tool might experience lag or performance issues when working with very large JSON files.
  • No API Integration
    It lacks an API for programmatic access, which limits automated workflows and integration into development pipelines.

YAML features and specs

  • Human readability
    YAML is designed to be easy to read and write for humans, with a clean and simple syntax that avoids complexity, making it ideal for configuration files where human interaction is expected.
  • Hierarchical data representation
    YAML’s support for nested and hierarchical data structures allows for clear representation of complex data relationships, making it suitable for expressing data trees and other structured data.
  • Data interchange format
    Because it is a serialization language, YAML is versatile for both data interchange between programming languages and as configuration files, offering broad applications.
  • Simplicity
    YAML’s syntax deliberately avoids the use of complex elements like semicolons, braces, and quotes, which reduces the likelihood of syntax errors and makes the language less intimidating for users.
  • Support for various data types
    YAML supports a wide range of data types including strings, numbers, lists, and maps, which allows it to accurately represent data structures necessary for most applications.

Possible disadvantages of YAML

  • Whitespace sensitivity
    YAML relies heavily on indentation for data structure definitions, which can lead to errors if the document's whitespace is not carefully managed.
  • Lack of standard libraries
    Compared to JSON or XML, there are fewer robust YAML libraries available across various programming languages, potentially increasing the effort needed to implement YAML in certain applications.
  • Not ideal for all data types
    YAML does not natively support certain data types such as binary data or date/time values, requiring workarounds or extensions, which can complicate use cases that handle such data.
  • Less performant parsing
    YAML parsing is generally slower than JSON due to its complex syntax and flexible features, which can be a drawback in performance-critical applications.
  • Security concerns
    YAML parsers can be vulnerable to certain security risks like arbitrary code execution or entity expansion attacks, requiring additional precautions during parsing and validation.

JSON Formatter & Validator videos

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YAML videos

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YAML is for Computers. ksonnet is for Humans - Bryan Liles, Heptio (Any Skill Level)

More videos:

  • Review - YAML Release Pipelines in Azure DevOps - PRE06
  • Tutorial - Azure DevOps - How to Create a YAML Pipeline in DevOps (YAML Pipelines)

Category Popularity

0-100% (relative to JSON Formatter & Validator and YAML)

JSON Formatter & Validator

YAML

Development
100 100%
Development
0% 0
Developer Tools
59 59%
Developer Tools
41% 41
Configuration Management
0 0%
Configuration Management
100% 100
Image Optimisation
100 100%
Image Optimisation
0% 0

User comments

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Social recommendations and mentions

YAML might be a bit more popular than JSON Formatter & Validator. We know about 41 links to it since March 2021 and only 36 links to JSON Formatter & Validator. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

JSON Formatter & Validator mentions (36)

  • Postman Tutorial: A Beginner's Step-by-Step Guide!
    **Note:* Online Post request should have the correct format to ensure that requested data will be created. It is a good practice to use Get first to check the JSON format of the request. You can use tools like https://jsonformatter.curiousconcept.com/. - Source: dev.to / 2 months ago
  • Rest API Testing: How to test Rest APIs properly!
    This can look like this, for example. Postman shows you errors in the JSON structure directly. However, you can test it more precisely with this JSON validator. - Source: dev.to / 11 months ago
  • Homebridge failed to load Config.schema.json
    Did you already validate your json with: JSON VALIDATOR? Source: almost 2 years ago
  • 5 useful JSON tools to improve your productivity
    As we've seen in this article, there are many different tools available to help us work with JSON data. From visualizing and exploring data with JSON Crack, formatting it with JSON Formatter & Validator, converting it to other formats like CSV with Konklone.io, and validating it against a schema with JSON Schema — these tools can help make working with JSON data much easier and more efficient. - Source: dev.to / about 2 years ago
  • Beginner's Thread / Easy Questions [February 2023]
    Is there a library to parse json and make an interactive windows something like https://jsonformatter.curiousconcept.com. Source: about 2 years ago
View more

YAML mentions (41)

  • GitHub Actions, Devbox, and Elm
    They are defined in .github/workflows in YAML files (.yml). Use any name. - Source: dev.to / 6 months ago
  • Another Week Another Feature
    This week I implemented TOML support for DocBot made by @add00_3. First time hearing about TOML and kind of surprised this exists(we already have YAML). Implementation was pretty simple since the code was written in JavaScript and the code was very easy to read. Although it did take a minute to figure out how to run the tool since I had to run the ollama model locally in order to run the tool. I had ollama... - Source: dev.to / 7 months ago
  • The Adventures of Blink S2e2: Database, Contained
    I've mentioned a couple of times along the way that we'll have more than one docker container in this project. But we can't depend on end users to know what order to start them in, or what configurations connect them to each other. Docker provides a means of orchestrating all the containers in your app called docker-compose. This is controlled by a yaml file in the project root called docker-compose.yml. Here... - Source: dev.to / 9 months ago
  • Kubernetes Core Concepts: Building Blocks of Container Orchestration
    Deployments are created using YAML files that specify the application’s desired state. This includes the number of replicas, the container image, and update strategies. - Source: dev.to / 9 months ago
  • Python FastAPI: Implementing Non-Blocking Logging with Built-In QueueHandler and QueueListener Classes
    I have used RotatingFileHandler for logging via an external YAML configuration file before. I appreciate this approach because we can adjust the logging by tweaking the configuration file without having to refactor the code. I would like to adopt the same approach for this implementation. We will first examine the YAML configuration file and then the associated Python code. - Source: dev.to / 10 months ago
View more

What are some alternatives?

When comparing JSON Formatter & Validator and YAML, you can also consider the following products

JSONFormatter.org - Online JSON Formatter and JSON Validator will format JSON data, and helps to validate, convert JSON to XML, JSON to CSV. Save and Share JSON

JSON - (JavaScript Object Notation) is a lightweight data-interchange format

JSONLint - JSON Lint is a web based validator and reformatter for JSON, a lightweight data-interchange format.

TOML - TOML - Tom's Obvious, Minimal Language

JSON Editor Online - View, edit and format JSON online

Tools-Online.app - Free online tools for everyday tasks. Simple, fast, secure and easy to use. Works entirely in your browser – your data stays with you.

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