Run a module in a Web Worker, automatically reflecting exported functions as asynchronous proxies.
Workerize is a JavaScript library that allows you to run a module in a Web Worker by automatically reflecting its exported functions as asynchronous proxies. It solves the problem of offloading CPU-intensive tasks to a background thread to keep the main UI thread responsive, without the usual complexity of manual worker setup and message passing.
Frontend JavaScript developers building web applications that require heavy computations, data processing, or tasks that could block the main thread and degrade user experience.
Developers choose Workerize for its minimal API and automatic proxying, which drastically reduces the boilerplate needed to use Web Workers, while maintaining compatibility with async/await and keeping the bundle size extremely small at around 800 bytes gzipped.
🏗️ Run a module in a Web Worker.
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Automatically reflects exported module functions as asynchronous proxies, eliminating the need for manual message passing and reducing boilerplate, as shown in the usage example where `add` is called directly.
Adds only about 800 bytes gzipped, as stated in the README, making it a minimal dependency that doesn't bloat your application.
Works seamlessly with async/await syntax, preserving clean code patterns without extra configuration, demonstrated in the async function calls in the provided code snippet.
Accepts either a string containing code or a function to be workerized, offering versatility in how modules are defined and integrated.
Data passed between the main thread and worker must be serializable, limiting use with complex objects or functions that can't be easily serialized, which is an inherent Web Worker limitation.
Creating and managing Web Workers adds runtime overhead, and for trivial computations, this might degrade performance instead of improving it.
Error handling in workers can be more complex, as errors need to be propagated back to the main thread, potentially requiring additional code for robust error management.