aiologger
aiomultiprocess
| aiologger | aiomultiprocess | |
|---|---|---|
| 1 | 2 | |
| 124 | 1,666 | |
| 1.6% | 0.7% | |
| 3.5 | 6.6 | |
| 11 months ago | 10 days ago | |
| Python | Python | |
| MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
aiologger
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Asyncio: Logging Library
I'm using Asyncio for a project and looking for a great logging library to combine with. Should I use the standard library logging? Found this library (https://github.com/async-worker/aiologger), but looks like it's outdated. Any help/recommendations are welcome! Thanks
aiomultiprocess
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What's New in Python 3.11?
> Why not just use multi processing?
Multiprocessing provides parallelism up to what the machine supports, but no additional degree of concurrency, asyncio provides a fairly high degree of concurrency, but no parallelism.
OF course, you can use them together to get both.
https://github.com/omnilib/aiomultiprocess
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Standalone electrical circuit simulation framework
Take a look at aiomultiprocess. It combines multiprocessing and asynchio to bypass the GIL for greatly increased performance.
What are some alternatives?
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
think-async - 🌿 Exploring cooperative concurrency primitives in Python
AIOHTTP - Asynchronous HTTP client/server framework for asyncio and Python
fastapi-crudrouter - A dynamic FastAPI router that automatically creates CRUD routes for your models
simber - A simple, minimal and powerful logging library for Python
aiopath - 📁 Asynchronous pathlib for Python
asyncgelf - Async library to send logs to graylog in GELF (Graylog Extended Log Format) format.
example-hftish - Example Order Book Imbalance Algorithm
aiohttp - Asynchronous HTTP client/server framework for asyncio and Python [Moved to: https://github.com/aio-libs/aiohttp]
Ray - Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Logges - An alternative logging tool working on Python, also have different functions.
bunny-storm - RabbitMQ asynchronous connector library for Python with built in RPC support