classes alternatives and similar packages

Based on the "Functional Programming" category.
Alternatively, view classes alternatives based on common mentions on social networks and blogs.

• Toolz

  7.7 4.7 L4 classes VS Toolz

  A functional standard library for Python.
  

• Coconut

  7.2 6.1 classes VS Coconut

  Simple, elegant, Pythonic functional programming.
  

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• returns

  7.2 9.2 classes VS returns

  Make your functions return something meaningful, typed, and safe!
  

• fn.py

  6.9 0.0 L4 classes VS fn.py

  Functional programming in Python: implementation of missing features to enjoy FP
  

• funcy

  6.9 8.6 L5 classes VS funcy

  A fancy and practical functional tools lib
  

• Pyrsistent

  6.1 6.9 L5 classes VS Pyrsistent

  Persistent/Immutable/Functional data structures for Python
  

• CyToolz

  4.7 3.5 L4 classes VS CyToolz

  Cython implementation of Toolz: High performance functional utilities
  

• Deal

  4.4 6.7 classes VS Deal

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

• PyContracts

  3.5 1.3 classes VS PyContracts

  PyContracts is a Python package that allows to declare constraints on function parameters and return values. Contracts can be specified using Python3 annotations, or inside a docstring. PyContracts supports a basic type system, variables binding, arithmetic constraints, and has several specialized contracts and an extension API.
  

• icontract

  3.3 5.8 classes VS icontract

  Design-by-contract in Python3 with informative violation messages and inheritance
  

• effect

  3.2 2.6 classes VS effect

  effect isolation in Python, to facilitate more purely functional code
  

• dpcontracts

  3.1 10.0 classes VS dpcontracts

  An implementation of contracts for Python.
  

* Code Quality Rankings and insights are calculated and provided by Lumnify.
They vary from L1 to L5 with "L5" being the highest.

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Popular Comparisons

• classes
  vs
  funcy
• classes
  vs
  PyContracts
• classes
  vs
  effect
• classes
  vs
  Pyrsistent
• classes
  vs
  fn.py

README

pip install classes

# In setup.cfg or mypy.ini:
[mypy]
plugins =
  classes.contrib.mypy.classes_plugin

class IntField(Field):
    def from_json(self, value):
        return value

    def to_json(self, value):
        return value

>>> from typing import Union
>>> from classes import typeclass

>>> @typeclass
... def to_json(instance) -> str:
...     """This is a typeclass definition to convert things to json."""

>>> @to_json.instance(int)
... @to_json.instance(float)
... def _to_json_int(instance: Union[int, float]) -> str:
...     return str(instance)

>>> @to_json.instance(bool)
... def _to_json_bool(instance: bool) -> str:
...     return 'true' if instance else 'false'

>>> @to_json.instance(list)
... def _to_json_list(instance: list) -> str:
...     return '[{0}]'.format(
...         ', '.join(to_json(list_item) for list_item in instance),
...     )

>>> to_json(True)
'true'
>>> to_json(1)
'1'
>>> to_json([False, 1, 2.5])
'[false, 1, 2.5]'

# Pretending to import the existing library from somewhere:
# from to_json import to_json

>>> import datetime as dt

>>> @to_json.instance(dt.datetime)
... def _to_json_datetime(instance: dt.datetime) -> str:
...     return instance.isoformat()

>>> to_json(dt.datetime(2019, 10, 31, 12, 28, 00))
'2019-10-31T12:28:00'