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socketify.py
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Based on our record, Spring seems to be a lot more popular than socketify.py. While we know about 86 links to Spring, we've tracked only 2 mentions of socketify.py. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
With Spring, data validation is a breeze in many common use cases (like validating a method's input parameters) - and is highly recommended for creating robust applications. - Source: dev.to / 4 months ago
This allows Java to have such goodies as reflection, dynamic proxies, ServiceLoader, and DI frameworks like Spring, Micronaut, or Quarkus. - Source: dev.to / 5 months ago
Let's rewind. Why did frameworks like Spring and Camel become so dominant? The reasons were clear and valid:. - Source: dev.to / 9 months ago
But Javas has so many of these web frameworks?! * Spring (https://spring.io/) * Spring Boot (https://spring.io/projects/spring-boot) * Helidon (https://helidon.io/) * Micronaut (https://micronaut.io/) * Quarkus (https://quarkus.io/) * JHipster (https://www.jhipster.tech/) * Vaadin (https://vaadin.com/) That's just to mention the bigger ones, there's lots of mini frameworks like Javalin (https://javalin.io/) and... - Source: Hacker News / over 1 year ago
Spring Boot simplifies Java backend development by providing a pre-configured setup. It's based on Controllers, Services, and Repositories. Controllers handle HTTP requests and routes. Services control the business logic flows. Repositories handle database operations. Check out the official spring documentation at spring.io. - Source: dev.to / over 1 year ago
These "benchmarks" are useless, they're not testing anything real world except the performance of uWebsockets. There are copy errors all over the place. And then an advertisement: https://github.com/cirospaciari/socketify.py#briefcase-comme... Is this a professional framework that produces proper, real-world benchmarks and... - Source: Hacker News / over 3 years ago
After starting the project called socketify.py at https://github.com/cirospaciari/socketify.py, I got pretty good results and reviews, but many people asked if socketify.py could be used to create a WSGI and ASGI server. WSGI and ASGI have a lot of overhead, that's is why I choose not to use them in the first place, but adding an ASGI and WSGI server allows a lot of code already written to run faster! Source: over 3 years ago
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