๐ Maximize the Potential of a Well-Planned GraphQL Schema: Elevate Your Project! ๐
Looking to elevate your project? Discover the game-changing benefits of a well-planned GraphQL schema. ๐
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. ๐ก
Explore the key advantages of a well-planned GraphQL schema for your project:
โค๏ธโ๐ฅ 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.
โค๏ธโ๐ฅ 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.
โค๏ธโ๐ฅ 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.
โค๏ธโ๐ฅ 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.
โค๏ธโ๐ฅ 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. ๐ช
try GraphQL Editor now!
GraphQL Editor is recommended for software developers working with GraphQL who are looking for an intuitive and interactive way to design, understand, and collaborate on their GraphQL schemas. It is particularly beneficial for teams that value real-time collaboration and need tools that help in visualizing and documenting APIs.
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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 2 years 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: over 3 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: over 3 years ago
Https://graphqleditor.com/ New version is available here. Source: almost 4 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: almost 4 years ago
> What are you missing? Everything else needed to make a backend app. At the very least, Node should provide fundamental pieces like database drivers. Currently the best PG driver[1] depends on a single guy. Bun already provides its own PG driver [2] and Jarred has written they will keep investing into more built-in APIs. [1] https://github.com/porsager/postgres [2] https://bun.com/docs/api/sql. - Source: Hacker News / about 2 months ago
I want to use this as a chance to bring attention to a GitHub issue that I think would help reduce friction for Neon: https://github.com/neondatabase/neon/issues/4989. Having run a local dev environment connected to Neon and tests connected to Neon got in our way of adoption. We'd prefer to develop and run tests against a regular Postgres localhost database. To the PMs of Neon, put yourself in the shoes of a new... - Source: Hacker News / over 1 year ago
I'd push you to consider using postgres, slonik or similar for database queries. With these libraries, you just write SQL, but they perform input sanitization for you. So you can safely write:. Source: almost 2 years ago
There's also https://kysely.dev/ but personally I handwrite my queries with https://github.com/porsager/postgres for flexibility and performance most orms use node-pg lib which has shit performance. - Source: Hacker News / almost 2 years ago
When viewed as a DSL for set theory, views, CTEs, set-returning functions, et al are indeed proper first-class query abstractions. When viewed through the lens of general purpose imperative or functional programming languages, it's easy to see how it can be seen as falling short. I'll admit much of the tooling and driver APIs leave a lot to be desired. Some tools do make good efforts though such as nested... - Source: Hacker News / about 2 years ago
Hasura - Hasura is an open platform to build scalable app backends, offering a built-in database, search, user-management and more.
Gio UI - Gio is an open source library for creating portable, immediate mode GUI programs for Android, iOS, Linux, Windows, macOS.
GraphQL Playground - GraphQL IDE for better development workflows
JDBI - See this.
Stellate.co - Everything you need to run your GraphQL API at scale
Autobackend - Create a backend in seconds