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Source channel @githubtrending · Post #15580 · Mar 23

#go#cli#database#database_management#dbms#environment#local#postgres#postgresql#supabase Supabase CLI lets you run Supabase locally, manage database migrations, deploy functions, generate types from your schema, and make secure API calls. Install easily via npm (`npm i supabase --save-dev`), Homebrew, Scoop, or binaries for any OS, then run `supabase init` and `supabase start` to launch your full stack with local URLs and keys. This benefits you by speeding up development, testing changes offline without cloud costs, ensuring type safety, and simplifying CI/CD for reliable deploys. https://github.com/supabase/cli

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djangoproject

@djangoproject · Post #439 · 09/13/2017, 03:57 AM

Evented Django part one: Socket.IO and gevent #Socket.IO was developed with a #Node.JS server implementation, but work is being done to add server implementations to a variety of languages. Two such servers exist for Python, tornadio and #gevent-socketio. I'm a big fan of gevent, so I will use gevent-socketio, but tornadio looks well-written and very promising. http://codysoyland.com/2011/feb/6/evented-django-part-one-socketio-and-gevent/

djangoproject

@djangoproject · Post #170 · 09/22/2016, 02:27 PM

https://pypi.python.org/pypi/uvloop #uvloop is a fast, drop-in replacement of the built-in #asyncio event loop. uvloop is released under the MIT license. uvloop and asyncio, combined with the power of async/await in Python 3.5, makes it easier than ever to write high-performance #networking code in Python. uvloop makes asyncio fast. In fact, it is at least 2x faster than #nodejs, #gevent, as well as any other Python #asynchronous framework. The performance of uvloop-based asyncio is close to that of Go programs.

djangoproject

@djangoproject · Post #270 · 02/26/2017, 08:08 AM

https://www.obeythetestinggoat.com/testing-async-asyncio-and-performance.html #Testing, #async, #asyncio, and #performance Sun 27 December 2015 By Harry I recently did some experimenting with asyncio, and wanted to report back on how I got on with writing tests for it. While I was at it I was also able to compare its performance with a couple of other approaches to #mutlitasking in Python, namely #threads and #gevent, so I'll report on that here too. (tl;dr: it's much of a muchness).