fn.py VS RxPY

Compare fn.py vs RxPY and see what are their differences.

fn.py

Functional programming in Python: implementation of missing features to enjoy FP (by kachayev)
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fn.py RxPY
2 4
3,320 4,684
- 0.5%
0.0 0.0
over 1 year ago 2 months ago
Python Python
Apache License 2.0 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.

fn.py

Posts with mentions or reviews of fn.py. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-12-20.

RxPY

Posts with mentions or reviews of RxPY. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-12-14.

What are some alternatives?

When comparing fn.py and RxPY you can also consider the following projects:

Toolz - A functional standard library for Python.

PyFunctional - Python library for creating data pipelines with chain functional programming

funcy - A fancy and practical functional tools

rxray - Ray distributed computing integration for RxPY

Pyrsistent - Persistent/Immutable/Functional data structures for Python

awesome-functional-python - A curated list of awesome things related to functional programming in Python.

Coconut - Simple, elegant, Pythonic functional programming.

django-sockpuppet - Build reactive applications with the django tooling you already know and love.

CyToolz - Cython implementation of Toolz: High performance functional utilities

proposals - Tracking ECMAScript Proposals

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

function-pipe - Tools for extended function composition and pipelines in Python