ParallelSync: Make multiple HTTP requests at once to speed up site performance.

This plugin allows multiple HTTP requests to be processed simultaneously. It reduces page load times by fetching data in parallel instead of sequentially.

Open Source Alternative towp-concurrent-remote-requests

GrootMade is NOT affiliated with wp-concurrent-remote-requests or its original author. wp-concurrent-remote-requests™ is a trademark of its respective owner and use of it does not imply any endorsement or affiliation. This product has been forked under the GNU General Public License (GPL) and all non-GPL assets (such as proprietary images, fonts, and branding) have been removed. Distributing GPL-licensed code is 100% legal.

This plugin provides a set of functions for making multiple HTTP requests concurrently within a content management system. It is designed for developers who need to fetch data from several external APIs or services efficiently, as it can process these requests in parallel rather than one after the other.

Concurrent request execution: The core function sends multiple HTTP requests at the same time, which can significantly decrease the total time spent waiting for external data.
Familiar API: It offers helper functions that mirror the standard wp_remote_get and wp_remote_request functions, making integration straightforward for developers already familiar with the platform's HTTP API.
Flexible request formatting: Supports both simple arrays of URLs and more complex request configurations, allowing for different HTTP methods (like POST or DELETE) and custom request bodies.
Composer installation: The package is available via Composer, enabling easy dependency management and installation within modern development workflows.

Discussion

We do not provide support for the original product. If you need official support, please purchase a license from the original developer. Our community assistance is only for issues related to our forked version.

ParallelSyncv1.1.1

This plugin allows multiple HTTP requests to be processed simultaneously. It reduces page load times by fetching data in parallel instead of sequentially.

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