TypeGraphQL
gRPC
TypeGraphQL | gRPC | |
---|---|---|
30 | 201 | |
7,951 | 40,775 | |
- | 0.6% | |
8.8 | 9.9 | |
5 days ago | 1 day ago | |
TypeScript | C++ | |
MIT License | Apache License 2.0 |
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.
TypeGraphQL
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Cerbos + GraphQL: Do not reinvent user permissions
In this tutorial, we're building a simple application which uses Cerbos inside of a GraphQL server. The server is written in typescript and uses type-graphql to create the schema and resolvers, and TypeDI to handle dependency injection.
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Using modern decorators in TypeScript
Using decorators required setting an --experimentalDecorators experimental compiler flag. Several popular TypeScript libraries, such as type-graphql and inversify, rely on this implementation.
- help wanted: Typescript GraphQL Types Response
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Build a Next App with a full GraphQL API using just a JSON or CSV file
TypeGraphQL
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What to use with Apollo Server v4 to achieve type-safety?
Have you tried TypeGraphQL v2 (it's in beta). Some in this thread have reported success with it.
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Apollo Server v4 Breaking Changes. Time to move away?
When moving away from Apollo Server, and you're looking for a replacement built with JavaScript or TypeScript, let me give you some options. If you want to keep building your GraphQL API schema first, you might want to consider Mercurius (which relies on Fastify) or GraphQL Yoga. If you're going to build your GraphQL API code or resolver first, have a look at TypeGraphQL or Nexus. Alternatively, there are great GraphQL-as-a-Service solutions such as StepZen in case you no longer want to build, maintain and host your own GraphQL API.
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A journey towards a type-safe GraphQL API server
There are two main approaches to keeping the types of the GraphQL schema and entities in business logic in sync. You can generate the schema based on your TypeScript code (e.g. TypeGraphQL), or you can generate types based on your schema (e.g. GraphQL Code Generator). We opted for the latter since it slotted right into our existing GraphQL server implementation using Apollo Server.
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Do you use a tool for generating your GraphQL schema, or do you write it as part of your development process?
I've used tools (e.g. TypeGraphQL) in the past, and for smaller schemas I've just manually written the schema.
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Best python tutorials for graphql?
I'll be honest and say I don't think python is the right language to implement graphql. It's possible of course and if you're looking for a graphene tutorial, I'm sure you can find one (and I'll help you evaluate one, if you'd like). I'd personally go with node.js, typescript, and typegraphql.
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FoalTS framework - Version 2.9 is here 🎉
Foal's dependencies have been updated so as to support the latest version of TypeGraphQL.
gRPC
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Golang: out-of-box backpressure handling with gRPC, proven by a Grafana dashboard
gRPC, built on HTTP/2, inherently supports flow control. The server can push updates, but it must also respect flow control signals from the client, ensuring that it doesn't send data faster than what the client can handle.
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Reverse Engineering Protobuf Definitions from Compiled Binaries
Yes, grpc_cli tool uses essentially the same mechanism except implemented as a grpc service rather than as a stubby service. The basic principle of both is implementing the C++ proto library's DescriptorDatabase interface with cached recursive queries of (usually) the server's compiled in FileDescriptorProtos.
See also https://github.com/grpc/grpc/blob/master/doc/server-reflecti...
The primary difference between what grpc does and what stubby does is that grpc uses a stream to ensure that the reflection requests all go to the same server to avoid incompatible version skew and duplicate proto transmissions. With that said, in practice version skew is rarely a problem for grpc_cli style "issue a single RPC" usecases: even if requests do go to two or more different versions of a binary that might have incompatible proto graphs, it is very common for the request and response and RPC to all be in the same proto file so you only need to make one RPC in the first place unless you're using an extension mechanism like proto2 extensions or google.protobuf.Any.
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Delving Deeper: Enriching Microservices with Golang with CloudWeGo
While gRPC and Apache Thrift have served the microservice architecture well, CloudWeGo's advanced features and performance metrics set it apart as a promising open source solution for the future.
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gRPC Name Resolution & Load Balancing on Kubernetes: Everything you need to know (and probably a bit more)
The loadBalancingConfig is what we use in order to decide which policy to go for (round_robin in this case). This JSON representation is based on a protobuf message, then why does the name resolver returns it in the JSON format? The main reason is that loadBalancingConfig is a oneof field inside the proto message and so it can not contain values unknown to the gRPC if used in the proto format. The JSON representation does not have this requirement so we can use a custom loadBalancingConfig .
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Dart on the Server: Exploring Server-Side Dart Technologies in 2024
The Dart implementation of gRPC which puts mobile and HTTP/2 first. It's built and maintained by the Dart team. gRPC is a high-performance RPC (remote procedure call) framework that is optimized for efficient data transfer.
- Usando Spring Boot RestClient
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How to Build & Deploy Scalable Microservices with NodeJS, TypeScript and Docker || A Comprehesive Guide
gRPC is a high-performance, open-source RPC (Remote Procedure Call) framework initially developed by Google. It uses Protocol Buffers for serialization and supports bidirectional streaming.
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Actual SSH over HTTPS
In general, tunneling through HTTP2 turns out to be a great choice. There is a RPC protocol built on top of HTTP2: gRPC[1].
This is because HTTP2 is great at exploiting a TCP connection to transmit and receive multiple data structures concurrently - multiplexing.
There may not be a reason to use HTTP3 however, as QUIC already provides multiplexing.
I expect that in the future most communications will be over encrypted HTTP2 and QUIC simply because middleware creators can not resist to discriminate.
[1] <https://grpc.io>
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Why gRPC is not natively supported by Browsers
Even in the https://grpc.io blog says this
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SGSG (Svelte + Go + SQLite + gRPC) - open source application
gRPC
What are some alternatives?
graphql-code-generator - A tool for generating code based on a GraphQL schema and GraphQL operations (query/mutation/subscription), with flexible support for custom plugins.
ZeroMQ - ZeroMQ core engine in C++, implements ZMTP/3.1
nexus - Code-First, Type-Safe, GraphQL Schema Construction
Apache Thrift - Apache Thrift
graphql-shield - 🛡 A GraphQL tool to ease the creation of permission layer.
Cap'n Proto - Cap'n Proto serialization/RPC system - core tools and C++ library
Nest - A progressive Node.js framework for building efficient, scalable, and enterprise-grade server-side applications with TypeScript/JavaScript 🚀
zeroRPC - zerorpc for python
pothos - Pothos GraphQL is library for creating GraphQL schemas in typescript using a strongly typed code first approach
rpclib - rpclib is a modern C++ msgpack-RPC server and client library
apollo-server - 🌍 Spec-compliant and production ready JavaScript GraphQL server that lets you develop in a schema-first way. Built for Express, Connect, Hapi, Koa, and more.
nanomsg - nanomsg library