raffiot.py VS returns

Compare raffiot.py vs returns and see what are their differences.

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raffiot.py returns
2 20
15 3,304
- 2.4%
0.0 9.1
about 2 years ago 5 days ago
Python Python
Apache License 2.0 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.

raffiot.py

Posts with mentions or reviews of raffiot.py. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-11-18.

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 raffiot.py and returns you can also consider the following projects:

fasy - FP iterators that are both eager and asynchronous

Toolz - A functional standard library for Python.

fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production

CyToolz - Cython implementation of Toolz: High performance functional utilities

cloudpickle - Extended pickling support for Python objects

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

orinoco - Functional composable pipelines allowing clean separation of the business logic and its implementation

Coconut - Simple, elegant, Pythonic functional programming.

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

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

funcy - A fancy and practical functional tools

effect - effect isolation in Python, to facilitate more purely functional code