@graphql-codegen/typed-document-node
Advanced tools
GraphQL Code Generator plugin for generating ready-to-use TypedDocumentNode based on GraphQL operations
This package is part of the same GraphQL Code Generator ecosystem. It focuses on generating TypeScript types for GraphQL schema. Compared to @graphql-codegen/typed-document-node, it does not directly generate typed document nodes but rather the types that can be used to manually create typed documents.
While primarily a comprehensive state management library for JavaScript that enables you to manage both local and remote data with GraphQL, Apollo Client can be configured to use TypeScript for type safety. It differs from @graphql-codegen/typed-document-node in that it's an all-in-one solution that includes client-side data fetching and caching, rather than just a code generation tool.
FAQs
GraphQL Code Generator plugin for generating ready-to-use TypedDocumentNode based on GraphQL operations
The npm package @graphql-codegen/typed-document-node receives a total of 3,245,131 weekly downloads. As such, @graphql-codegen/typed-document-node popularity was classified as popular.
We found that @graphql-codegen/typed-document-node demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 5 open source maintainers collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
OWASP’s 2025 Top 10 introduces Software Supply Chain Failures as a new category, reflecting rising concern over dependency and build system risks.
Research
/Security News
Socket researchers discovered nine malicious NuGet packages that use time-delayed payloads to crash applications and corrupt industrial control systems.
Security News
Socket CTO Ahmad Nassri discusses why supply chain attacks now target developer machines and what AI means for the future of enterprise security.
