uvloop VS Playwright

I wound up on a different team with pre-existing Python code so temporarily shelved my use of Go for a bit, and we used Sanic (an async Python framework built on top of the excellent uvloop & libuv that also powers Node.js) to build some APIs for live channel management & operations. We hand-wrote our OpenAPI and used it to generate documentation and a CLI, which was an improvement over what was there (or not) before. Other teams used the OpenAPI document to generate SDKs to interact with our service.

If you're looking for maximum requests per second you can change the asyncio event loop with one like UVLoop.

An optional package uvloop can also be install if working on Linux:

The source code from the project resides in the github, with more than 8.6k stars and 596 forks is a very popular github, but no new releases are made since 2018, looks pure much not maintained anymore, no PR's are accepted no Issues are closed, still without windows or macOS Silicon, or PyPy3 support. Japronto it self uses uvloop with more than 9k stars and 521 forks and different from japronto is seems to be well maintained.

If you are building server-side applications using Python 3 and async API and if you didn't use https://github.com/MagicStack/uvloop, you are missing out on performance big time.

Also, if you happen to build microservices, don't forget to try PyPy, that's another easy performance booster (if it's compatible to your app).

Not that bad actually, with a different event loop implementation (such as https://github.com/MagicStack/uvloop). Not sure how well it will perform in a browser though

And so I did some searching, and found that SearX isn't officially supported on Windows. Not to be deterred, I did another quick search and found that with pip and/or docker, you should be able to install SearX straightforwardly on Windows. After trying this for a bit, I realized that uvloop, a (questionably optional dependency of SearX) is not supported on Windows. I tried a couple things to get it to work, but they didn't end up working for me either through user error, ignorance, or plain old not working.

they also wrote uvloop [0] which is fantastic and advances the cutting edge of what can be done with modern asyncio-based Python. I saw a ~3x improvement in the throughput of a microservice I wrote when I first tried it out years ago. currently at $dayjob we just use it by default in every Python service, whether or not we expect that service to be performance-critical.

0: https://github.com/MagicStack/uvloop

If you manage to grok how uvloop works as well as Python's default asyncio loop scheduler, you'll understand this style. It is not by itself a parallelism enabler, but network I/O the coroutines triggered would run in parallel nevertheless, though CPU bound computations would not by default.

The consensus I could gather is either use playwright or use a workaround to solve it in the puppeteer layer. The root cause of the bug is a websocket size limitation on the CDP protocol for chromium.

With the advent of tools like Puppeteer and now Playwright, end-to-end testing has become much easier and more reliable. For anyone who's used Selenium in the past, you know what I'm talking about. Puppeteer has opened the way in terms of E2E tooling, but Playwright has taken it to the next level and made it easier to await for certain selectors or conditions to be fulfilled (via locators), thus making tests more reliable and less flaky. Also, it's a game changer that it introduced a test-runner - this made the integration between the headless browser and the actual test code much smoother.

In this tutorial, our main focus will be on Playwright web scraping. So what is Playwright? It’s a handy framework created by Microsoft. It's known for making web interactions more streamlined and works reliably with all the latest browsers like WebKit, Chromium, and Firefox. You can also run tests in headless or headed mode and emulate native mobile environments like Google Chrome for Android and Mobile Safari.

// playwright.config.ts import { defineConfig } from "@playwright/test"; /** * See https://playwright.dev/docs/test-configuration. */ export default defineConfig({ testDir: "./src/pages", reporter: "list", use: { baseURL: "http://localhost:5432/", }, timeout: process.env.CI ? 10000 : 4000, // ... more options });

Issues with Playwright

Fast and reliable end-to-end testing for modern web apps | Playwright

This means you cannot place test files outside of this directory, which was brought up as a question on Github some time ago. Initially, I thought it would be nice to add another folder in the repo called "scripts", but Playwright does not allow multiple testDir values.

4.Playwright: Playwright is a browser automation library by Microsoft. Key Features: Supports Chromium, Firefox, and WebKit. Provides cross-browser testing capabilities. Allows automating web, mobile, and desktop applications

HTML to PDF conversion is a common requirement in modern web applications. It allows users to save web pages, reports, and other content in a format that is easy to share and print. There are many libraries and services available for converting HTML to PDF, each with its own strengths and weaknesses. In this article, we will compare some of the most popular HTML to PDF renderers in Node.js, including Puppeteer, Playwright, node-html-pdf, and Onedoc.

Playwright [ https://playwright.dev/ ] ✅