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@rdfjs/types
Advanced tools
Authoritative TypeScript typings for all RDF/JS specifications
The types should match the RDF/JS specifications (Data Model, Dataset and Stream). However, because they also take advantage of TypecScript-specific syntax features, some differences are inevitable. If something does not add up, please open an issue.
Installed as usual using your favourite package manager.
yarn add @rdfjs/types
This package does not provide code, only interafces for the RDF/JS specifications. Import them to strong-type your RDF/JS code.
import type { NamedNode, DatasetCore, Stream } from '@rdfjs/types'
Or import separately from type modules corresponding the specifications.
import type { NamedNode } from '@rdfjs/types/data-model'
import type { DatasetCore } from '@rdfjs/types/dataset'
import type { Stream } from '@rdfjs/types/stream'
Note that some helper types exist that do not exist within the RDF/JS specifications. These include:
import type { TripleTermName, QuadTermName } from '@rdfjs/types'
Everyone is invited to open issues and pull requests. When you create a PR, please add or update the rdf-js-tests.ts
file to reflect your changes.
You may also create a changeset file by running npx run changeset
and following the simple wizard. If you don't do that, such as in the case when editing from your browser, do not worry. A maintainer can also create it for you when you open a PR.
This package replaces typings previously managed in the DefinitelyTyped repository and a later proxy package rdf-js.
Both these old packages are deprecated. They will continue to work for backwards compatibility but library maintainers are encouraged to use @rdfjs/types
instead.
FAQs
Authoritative TypeScript typings for all RDF/JS specifications
The npm package @rdfjs/types receives a total of 31,337 weekly downloads. As such, @rdfjs/types popularity was classified as popular.
We found that @rdfjs/types demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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Socket now supports uv.lock files to ensure consistent, secure dependency resolution for Python projects and enhance supply chain security.
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