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Especially over Flask and Django, Robyn additionally offers integrated websocket support along with many existing features like templating, logging etc.[1]
Developer has been working on this project for a few years now, here is the updated roadmap, shared by the developer and maintainer of the project.[2]
[1] https://robyn.tech/documentation/en
[2] https://github.com/sparckles/Robyn/issues/1001
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Judoscale
Save 47% on cloud hosting with autoscaling that just works. Judoscale integrates with Django, FastAPI, Celery, and RQ to make autoscaling easy and reliable. Save big, and say goodbye to request timeouts and backed-up task queues.
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Is it really going to be faster? In the benchmark they cited in the README [0], they are in 10th place among Python frameworks. This is not a real-life benchmark, as it merely expects a hardcoded response. In fact, Robyn’s 10th place is thanks to a feature designed for benchmarks like this, i.e. marking responses as constant [1]. Three more frameworks beat Robyn if you disable this benchmark optimization.
[0] https://www.techempower.com/benchmarks/#hw=ph&test=plaintext...
[1] https://robyn.tech/documentation/en/api_reference/const_requ...
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flet
Flet enables developers to easily build realtime web, mobile and desktop apps in Python. No frontend experience required.
The problem with all this combining is that it's making apps less portable. Like I want to make apps that work on desktop+mobile with flet[0], but now I have to specifically seek out more "traditional" alternate packages and hope they stayed in reasonable feature parity with these Rustified Frankensteins. Not a fan at all.
[0] https://flet.dev
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