join-monster
foundation
join-monster | foundation | |
---|---|---|
3 | 210 | |
2,656 | 86 | |
0.3% | - | |
6.6 | 0.0 | |
1 day ago | 4 months ago | |
JavaScript | ||
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
join-monster
-
Understanding TTFB Latency in DJango - Seems absurdly slow after DB optimizations even locally
GraphQL could be efficiently translated into SQL and things certainly try, but the only thing close to a "bulletproof" implementation I found was Join Monster (https://github.com/join-monster/join-monster) in NodeJS-land and even that I think is now mostly abandoned. GraphQL as a system was built assuming random-access to data stores is ~free because that's what Facebook has, but the rest of us don't :)
-
Ask HN: Nested Resources in REST/HTTP API URLs?
REST is not a strict specification and it's not a single implementation, you can just start doing it.
That said, I wouldn't recommend going the allow everything flexible resolver way like GraphQL: it's terrible for performance (eg. most APIs use N+1 queries unless you have something like https://github.com/join-monster/join-monster), the complexity of the codebase skyrockets and having to specify all the fields you want is not exactly ergonomic in most situations.
- GraphQL Is a Trap?
foundation
-
Building Scalable GraphQL Microservices With Node.js and Docker: A Comprehensive Guide
GraphQL is a query language and runtime for APIs. It provides a flexible and efficient way for clients to request and retrieve specific data from a server using a single API endpoint.
-
Type-Safe Fetch with Next.js, Strapi, and OpenAPI
When you use technologies like GraphQL, it is trivial to derive TypeScript types. A GraphQL API is created by implementing a schema. Generating the TypeScript type definitions from this schema is simple, and you do not have to do any more work than just making the GraphQL API. This is one reason why I like GraphQL so much.
-
REST vs. GraphQL: A Detailed Comparison of API Architectures for Developers
REST and GraphQL have advantages, drawbacks, and use cases for different environments. REST is for simple logic and a more structured architecture, while GraphQL is for a more tailored response and flexible request.
-
Gatsby tutorial: Build a static site with a headless CMS
A Gatsby site uses Gatsby, which leverages React and GraphQL to create fast and optimized web experiences. Gatsby is often used for building static websites, progressive web apps (PWAs), and even full-blown dynamic web applications.
-
Rust GraphQL APIs for NodeJS Developers: Introduction
In my usual NodeJS tech stack, which includes GraphQL, NestJS, SQL (predominantly PostgreSQL with MikroORM), I encountered these limitations. To overcome them, I've developed a new stack utilizing Rust, which still offers some ease of development:
-
How to convert a TypeScript built-in enum to a GraphQL enum
At Woovi we are GraphQL lovers, hence we develop many helpers around this tool to bring a good developer experience.
-
How to Build & Deploy Scalable Microservices with NodeJS, TypeScript and Docker || A Comprehesive Guide
A query language for APIs that allows clients to request only the data they need. It provides a more flexible and efficient alternative to RESTful APIs. GraphQL provides a single endpoint for multiple data sources, making it efficient for clients to retrieve only the necessary information forexample if a Node.js microservice uses GraphQL, a client can send a query to request specific data, and the GraphQL service will fetch the required information from the underlying data sources and respond accordingly.
-
Embracing the Headless Channel in Xperience by Kentico
This approach is particularly beneficial for teams looking to enhance their digital presence without the need for extensive coding or software development. By leveraging the GraphQL API endpoint, developers can prepare and execute queries to retrieve the desired content. This makes the Headless Channel a valuable tool 🔨 for content managers and developers, offering ease of use and practicality.
-
Building a CRUD application with React, TypeScript, TypeORM, MySQL, GraphQL, and NodeJs | Part A
To know about Graphql and why it's being used head over to for more details, Now let's cut to the chase.
-
Supercharging Your App Development: Unleashing the Full Potential of React Native
GraphQL is an excellent choice for real-time data synchronization in React Native apps. By using GraphQL, you can retrieve precisely the data you need and receive updates in real-time, reducing network usage and providing a seamless user experience.
What are some alternatives?
ent - An entity framework for Go
MongoDB - The MongoDB Database
trustfall - A query engine for any combination of data sources. Query your files and APIs as if they were databases!
reddit-clone-with-redwoodjs
genql - Type safe TypeScript client for any GraphQL API
Hasura - Blazing fast, instant realtime GraphQL APIs on your DB with fine grained access control, also trigger webhooks on database events.
graphql-directive-rest - GraphQL directive for easy integration with REST API
Apache Cassandra - Mirror of Apache Cassandra
Sqlmancer - Conjure SQL from GraphQL queries 🧙🔮✨
React - The library for web and native user interfaces.
objection-filter - Filter objection.js models over HTTP using complex search queries
Materialize - Materialize, a CSS Framework based on Material Design