GraphQl Editor
GraphQL Playground
Stellate.co
Hasura
graphql-yoga
GraphQL Voyager
How to GraphQL
Explore GraphQL
JSON
YAML
TOML
Microsoft Office Access
LibreOffice - Base
Brilliant Database
JSOLint
CompactView
🌟 Maximize the Potential of a Well-Planned GraphQL Schema: Elevate Your Project! 🌟
Looking to elevate your project? Discover the game-changing benefits of a well-planned GraphQL schema. 🚀
In modern API development, GraphQL has revolutionized flexibility, efficiency, and scalability. A meticulously crafted schema lies at the core of every successful GraphQL implementation, enabling seamless data querying and manipulation. 💡
Explore the key advantages of a well-planned GraphQL schema for your project:
❤️🔥 Precisely define data requirements for each API call. GraphQL's query language empowers clients to request specific data, reducing over-fetching and network traffic This control ensures lightning-fast responses and a superior user experience.
❤️🔥 Act as a contract between frontend and backend teams, providing clear guidelines for data exchange. Developers can work independently on components, without waiting for API modifications. This decoupling accelerates development and project delivery.
❤️🔥 Anticipate future data requirements by easily adding, modifying, and deprecating with a well-designed schema. This saves development time and prevents disruptive changes down the line, making your project adaptable and future-proof.
❤️🔥 GraphQL's self-documenting nature serves as a comprehensive source of truth, eliminating ambiguity. Developers can effortlessly explore and understand data and relationships, boosting productivity and code quality.
❤️🔥 GraphQL's ability to batch and aggregate data from multiple sources optimizes backend operations By intelligently combining and caching data, you can enhance application performance, delivering lightning-fast experiences to users.
Embrace the power of a well-planned GraphQL schema to transform your project and unlock endless possibilities. Optimize data fetching, simplify development workflows, future-proof your application, enhance developer experience, and improve performance. 💪
try GraphQL Editor now!
GraphQl EditorBased on our record, JSON should be more popular than GraphQl Editor. It has been mentiond 13 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.
Aside from the ones mentioned graphql editor has a bunch of features that are helpful for testing like a click-out creator and a built-in mock backend for testing queries. Source: over 1 year ago
I may be wrong, but something like graphqleditor is geared more towards setting up GraphQL API/server, in Supabase case, it's database - Postgres, is the server/API. Source: about 2 years ago
I've tried graphqleditor.com but I can't get my my supabase API url to connect [mysupabaseurl].supabase.co/graphql/v1. Source: about 2 years ago
Https://graphqleditor.com/ New version is available here. Source: over 2 years ago
Make your schema and code to that. Here's a tool to help visualize. I've personally never found it useful, but maybe that's just me. Https://graphqleditor.com/. Source: over 2 years ago
The YAML 0.1 spec was sent to a public user group in May 2001. JSON was named in a State Software internal discussion. State Software was founded in March 2001. json.org was launched in 2002. Therefore you’re just wrong: YAML came out before JSON. Source: over 1 year ago
How come that doesn't apply to other libraries? For example, when I write Java or Node.js programs, I don't need to make sure packages like json.org or express.js have a 32bit or 64bit environment. What makes windows libs different than NPM libs? Source: almost 2 years ago
The first two sentences of the text on http://json.org are "JSON (JavaScript Object Notation) is a lightweight data-interchange format. It is easy for humans to read and write." It's a primary goal of JSON, it's fair to question whether it's successful at it. Personally, I'd much rather write TOML or S expressions. I don't like YAML at all, the whitespace sensitivity drives me nuts. - Source: Hacker News / almost 2 years ago
To help you make the transition, we’ve written a tutorial on how to write an MCAP writer in Python to record JSON data to an MCAP file. Source: almost 2 years ago
What you need to probably do is to step back and learn the format for JSON, and the core data structures that you will find in most languages:. Source: almost 2 years ago
GraphQL Playground - GraphQL IDE for better development workflows
YAML - YAML 1.2 --- YAML: YAML Ain't Markup Language
Stellate.co - Everything you need to run your GraphQL API at scale
TOML - TOML - Tom's Obvious, Minimal Language
Hasura - Hasura is an open platform to build scalable app backends, offering a built-in database, search, user-management and more.
Microsoft Office Access - Access is now much more than a way to create desktop databases. It’s an easy-to-use tool for quickly creating browser-based database applications.
