patina VS returns

Compare patina vs returns and see what are their differences.

patina

Python adaptations of Rust's Result, Option, and HashMap types. Ready for Python 3.10 pattern matching! (by p7g)
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patina returns
1 20
9 3,280
- 3.3%
0.0 9.1
over 2 years ago 5 days ago
Python Python
MIT License BSD 2-clause "Simplified" 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.

patina

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

returns

Posts with mentions or reviews of returns. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-02-23.

What are some alternatives?

When comparing patina and returns you can also consider the following projects:

Purpur - Purpur is a drop-in replacement for Paper servers designed for configurability, and new fun and exciting gameplay features.

Toolz - A functional standard library for Python.

lagom - 📦 Autowiring dependency injection container for python 3

CyToolz - Cython implementation of Toolz: High performance functional utilities

pfun - Functional, composable, asynchronous, type-safe Python.

Deal - 🤝 Design by contract for Python. Write bug-free code. Add a few decorators, get static analysis and tests for free.

cachew - Transparent and persistent cache/serialization powered by type hints

Coconut - Simple, elegant, Pythonic functional programming.

MIRAI - Rust mid-level IR Abstract Interpreter

fn.py - Functional programming in Python: implementation of missing features to enjoy FP

classes - Smart, pythonic, ad-hoc, typed polymorphism for Python

funcy - A fancy and practical functional tools