walnats VS regta

Compare walnats vs regta and see what are their differences.

regta

📅 Production-ready scheduler with async, multithreading and multiprocessing support for Python (by SKY-ALIN)
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walnats regta
7 1
64 20
- -
10.0 6.8
over 1 year ago 9 days ago
Python Python
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.

walnats

Posts with mentions or reviews of walnats. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-16.

regta

Posts with mentions or reviews of regta. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing walnats and regta you can also consider the following projects:

eventsourcing - A library for event sourcing in Python.

yappi - Yet Another Python Profiler, but this time multithreading, asyncio and gevent aware.

minos-python - 🐍 Minos is a framework which helps you create reactive microservices in Python

LiSA - LiSA (Native App to stream/read and download Anime & Manga ❤️ )

py-inventa - A Python library for microservice registry and executing RPC (Remote Procedure Call) over Redis.

think-async - 🌿 Exploring cooperative concurrency primitives in Python

cookiecutter-django - Cookiecutter Django + PostGres + Docker + DramatiQ

mnqueues - Monitored Multiprocessing Queues

jockey - 🏇 Generic Python library for running asynchronous workers. Useful for building event handlers, web frameworks, and alike.

aiomultiprocess - Take a modern Python codebase to the next level of performance.

nats-python-poc

gibbs - Scale your ML workers asynchronously across processes and machines