GraphQL VS YAMLValidator.dev
Compare GraphQL VS YAMLValidator.dev and see what are their differences
Exercise dataset for fitness apps: transparent background, animations, no subscription
featured
GraphQL
Next.js
React
gRPC
Nest.js
Hasura
Strapi
ExpressJS
YAMLValidator.dev
YAMLine
ValidKube
yamlfmt
YAML
JSON to YAML
JSON Formatter & Validator
KuberLogic
YAML Validator is a free, privacy-first tool for validating, formatting, and viewing YAML files โ available as a Chrome extension and a website.
---Paste or type YAML into the editor. YAML Validator auto-detects the schema (e.g., spots apiVersion + kind and picks Kubernetes) and validates both syntax and structure in one click. If the detected schema doesn't match, it suggests the right one with a single-click switch.
Everything runs client-side โ your files never leave your machine. No accounts, no server processing, no data collection. Works offline, loads instantly.
Whether you're writing Kubernetes manifests, debugging a CI pipeline, or reviewing a Helm chart on GitHub โ YAML Validator catches errors before they reach production. The Chrome extension currently has around 800 users worldwide.
Available in 54 languages.
GraphQL YAMLValidator.devNo YAMLValidator.dev videos yet. You could help us improve this page by suggesting one.
YAMLValidator.dev's answer:
It validates YAML against real schemas โ generic YAML, Kubernetes, Docker Compose, GitHub Actions, GitLab CI, Helm, OpenAPI, and more โ not just syntax checking. Everything runs client-side, so your config files never leave your machine. It works both as a Chrome extension (with GitHub integration for collapsible code blocks) and as a standalone website.
YAMLValidator.dev's answer:
DevOps engineers, SREs, and backend developers who work with Kubernetes manifests, Docker Compose files, CI/CD pipelines (GitHub Actions, GitLab CI, CircleCI, Azure Pipelines), Helm charts, and OpenAPI specs. Anyone who edits YAML config files and wants instant validation without leaving the browser.
YAMLValidator.dev's answer:
I am software engineer and extension(and lately site) was made out of frustration with debugging YAML indentation errors in CircleCI schemes and Kubernetes deployments. A misplaced space in a YAML file can break an entire deployment, and generic text editors don't catch schema-level mistakes. YAML Validator was built to catch those errors before they reach production โ directly in the browser, with zero setup.
YAMLValidator.dev's answer:
JavaScript/TypeScript, CodeMirror (editor), js-yaml (parsing), Ajv (JSON Schema validation), Lit (web components), and Tailwind CSS. Built as a Chrome Extension (Manifest V3) with Vite as the bundler. Schemas are pre-compiled at build time for performance and CSP compliance
YAMLValidator.dev's answer:
YAML Validator is a free, open-use tool โ it doesn't track users or require accounts. It's used by individual developers and teams working with Kubernetes, Docker, and CI/CD pipelines. As a privacy-first browser tool, there's no customer list by design. The browser extension currently has around 800 users worldwide.
YAMLValidator.dev's answer:
There's simply no other Chrome extension that does this. Most online YAML tools are web-only, require an internet connection, and only check syntax. YAML Validator runs entirely offline, validates against 11+ schemas with auto-detection (Kubernetes, Docker Compose, GitHub Actions, and more), and enriches GitHub with collapsible code blocks for YAML files. It's fast, private, and requires zero setup โ install and go.
Based on our record, GraphQL seems to be more popular. It has been mentiond 258 times since March 2021. 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.
GraphQL is a query language combined with a server-side runtime. It was created by Facebook in 2012, and soon after, they released the specification to the public and made a NodeJS implementation open source. - Source: dev.to / 3 months ago
Definitely they should include D4M and GraphQL [1],[2]. Not only D4M can cater for structured relational data, it also suitable for sparse data in spreadsheet, matrices and graph. It's essentially a generalization of SQL but for all things data. There's also integration of D4M with SciDB [3]. [1] D4M: Dynamic Distributed Dimensional Data Model: https://d4m.mit.edu/ [2] GraphQL: https://graphql.org/ [3] D4M:... - Source: Hacker News / 7 months ago
GraphQL is becoming a popular choice, making development easier. - Source: dev.to / 10 months ago
In modern software architecture, Jamstack separates the frontend from the backend through API consumption. Traditionally, this has been achieved with RESTful APIs, which enable data exchange between server and client. However, REST often causes performance issues, such as over-fetching and added complexity. A client may need only a small subset of data, but a REST endpoint might return an entire dataset, which... - Source: dev.to / 10 months ago
Before we dive into GraphQL, it's crucial to understand the challenges it was designed to solve. Traditional API architectures like REST often struggle with two pervasive and inefficient patterns:. - Source: dev.to / 11 months ago
Next.js - A small framework for server-rendered universal JavaScript apps
YAMLine - Yamline offers a suite of online YAML tools, including a Comparator, Formatter, Validator, and various converters for formats like JSON and Properties.
React - A JavaScript library for building user interfaces
ValidKube - ValidKube combines the best open-source tools to help ensure Kubernetes YAML best practices, hygiene & security.
gRPC - Application and Data, Languages & Frameworks, Remote Procedure Call (RPC), and Service Discovery
yamlfmt - An extensible command line tool or library to format yaml files. - GitHub - google/yamlfmt: An extensible command line tool or library to format yaml files.