graphql-compose-typescri
fquery
graphql-compose-typescri | fquery | |
---|---|---|
1 | 5 | |
- | 10 | |
- | - | |
- | 0.0 | |
- | over 2 years ago | |
Python | ||
- | 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.
graphql-compose-typescri
-
Solving the double (quintuple) declaration Problem in GraphQL Applications
I had some issues with typegraphql years ago. I tried to split resolvers between modules and it behaved weirdly during unit tests. We also already used graphql-compose at job, so I wrote my own typescript decorator based solution on top of graphql-compose (https://github.com/captain-refactor/graphql-compose-typescri...)
fquery
-
Solving the double (quintuple) declaration Problem in GraphQL Applications
Similar benefits without codegen (based on decorator magic) for a python based stack:
https://github.com/adsharma/fquery
* Use dataclasses for both database schema and the user facing operations
- Cut Out the Middle Tier: Generating JSON Directly from Postgres
- Against SQL
- Django for Startup Founders: A better software architecture for SaaS startups
-
SwiftGraphQL – A GraphQL client that lets you forget about GraphQL
Re: Conways law at Facebook
I was at Facebook when GraphQL was invented, maintaining a backend storage service where a core assumption was that storage should be reorganized based on access patterns and that predicates should be pushed down to storage where they can be executed more efficiently.
GraphQL was hard to push predicates down, because you don't know which of the edges were written in PHP.
My response was fquery[1], which is like what's being discussed here but with python as the source language instead of swift and amenable to preserving the largest possible query structure for backend optimizers, including SQL optimizers.
It has some early demos converting a GraphQL/fquery into SQL where possible. It should be possible to add enough metadata to fquery to identify if an edge is non-trivial (calls into another microservice) or trivial (can be optimized to a storage backend or SQL).
[1] https://github.com/adsharma/fquery
What are some alternatives?
graphql - GraphQL (TypeScript) module for Nest framework (node.js) 🍷
django-ninja - 💨 Fast, Async-ready, Openapi, type hints based framework for building APIs
DjangoChannelsGraphqlWs - Django Channels based WebSocket GraphQL server with Graphene-like subscriptions
rel8 - Hey! Hey! Can u rel8?
gqtx - Code-first Typescript GraphQL Server without codegen or metaprogramming
prosto - Prosto is a data processing toolkit radically changing how data is processed by heavily relying on functions and operations with functions - an alternative to map-reduce and join-groupby
react-query - 🤖 Powerful asynchronous state management, server-state utilities and data fetching for TS/JS, React, Solid, Svelte and Vue. [Moved to: https://github.com/TanStack/query]
graphql-compose-typescript
django_for_startups - Code for the book Django for Startups
django-channels - Developer-friendly asynchrony for Django
jrutil