awesome-scalability VS python-patterns

Compare awesome-scalability vs python-patterns and see what are their differences.

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awesome-scalability python-patterns
6 31
52,917 39,336
- -
6.3 0.0
27 days ago 15 days ago
Python
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.

awesome-scalability

Posts with mentions or reviews of awesome-scalability. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-11-17.

python-patterns

Posts with mentions or reviews of python-patterns. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-11-27.

What are some alternatives?

When comparing awesome-scalability and python-patterns you can also consider the following projects:

awesome-distributed-systems - A curated list to learn about distributed systems

PyPattyrn - A simple library for implementing common design patterns.

system-design-interview - System design interview for IT companies

TheAlgorithms - All Algorithms implemented in Python

awesome-tf - Curated list of resources on HashiCorp's Terraform and OpenTofu

algorithms

awesome-javascript-learning - A tiny list limited to the best JavaScript Learning Resources

sortedcontainers - Python Sorted Container Types: Sorted List, Sorted Dict, and Sorted Set

Systemizer - A system design tool that allows you to simulate data flow of distributed systems.

more-itertools - More routines for operating on iterables, beyond itertools

awesome-sre - A curated list of Site Reliability and Production Engineering resources.

python-ds - No non-sense and no BS repo for how data structure code should be in Python - simple and elegant.