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@ngrx/entity
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The sources for this package are in the main NgRx repo. Please file issues and pull requests against that repo.
License: MIT
Redux Toolkit is a package that provides tools to simplify Redux development. It includes utilities for creating slices, which can manage collections of entities similar to @ngrx/entity. However, Redux Toolkit is more general-purpose and can be used with any JavaScript framework, not just Angular.
Normalizr is a library for normalizing nested JSON data. It can be used to manage collections of entities by transforming nested data into a flat structure. While it does not provide the same level of integration with state management libraries as @ngrx/entity, it is useful for preparing data to be stored in a state management system.
NGRX Data is an extension of @ngrx/entity that provides additional features for managing entity collections, including entity services and HTTP data access. It builds on top of @ngrx/entity and provides a higher-level API for common entity operations.
FAQs
Common utilities for entity reducers
The npm package @ngrx/entity receives a total of 412,425 weekly downloads. As such, @ngrx/entity popularity was classified as popular.
We found that @ngrx/entity demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 4 open source maintainers collaborating on the project.
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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.

Product
Socket Firewall blocks malicious VS Code and Open VSX extensions before install, protecting developers from compromised editor marketplaces.

Research
More than 140 Mastra npm packages were compromised in a supply chain attack that used a typosquatted dependency to deliver a cross-platform infostealer during installation.

Research
/Security News
A new npm package tests AI malware scanners with prompt injection, safety-triggering comments, context flooding, and obfuscated JavaScript.