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PyPI Package Impersonates SymPy to Deliver Cryptomining Malware
Malicious PyPI package sympy-dev targets SymPy users, a Python symbolic math library with 85 million monthly downloads.
@algolia/recommend
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[!TIP] This API client is already a dependency of the algoliasearch client, you don't need to manually install
@algolia/recommendif you already havealgoliasearchinstalled.
To get started, you first need to install @algolia/recommend (or any other available API client package). All of our clients comes with type definition, and are available for both browser and node environments.
yarn add @algolia/recommend@5.46.4
# or
npm install @algolia/recommend@5.46.4
# or
pnpm add @algolia/recommend@5.46.4
Add the following JavaScript snippet to the of your website:
<script src="https://cdn.jsdelivr.net/npm/@algolia/recommend@5.46.4/dist/builds/browser.umd.js"></script>
You can now import the Algolia API client in your project and play with it.
import { recommendClient } from '@algolia/recommend';
const client = recommendClient('YOUR_APP_ID', 'YOUR_API_KEY');
For full documentation, visit the Algolia JavaScript API Client.
Encountering an issue? Before reaching out to support, we recommend heading to our FAQ where you will find answers for the most common issues and gotchas with the client. You can also open a GitHub issue
The Algolia JavaScript API Client is an open-sourced software licensed under the MIT license.
Recombee API Client is a library for integrating Recombee's recommendation engine into your application. It offers similar functionalities such as personalized recommendations, related items, and frequently bought together features. Compared to @algolia/recommend, Recombee provides a more extensive set of recommendation algorithms and customization options.
PredictionIO is an open-source machine learning server for building and deploying predictive engines. It allows you to create custom recommendation systems, including personalized recommendations and related items. While it offers more flexibility and customization compared to @algolia/recommend, it requires more setup and maintenance.
FAQs
JavaScript client for recommend
The npm package @algolia/recommend receives a total of 2,905,870 weekly downloads. As such, @algolia/recommend popularity was classified as popular.
We found that @algolia/recommend demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago.Β It has 0 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.

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