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Minimal, super readable string pattern matching.

Project description



Minimal, super readable string pattern matching for python.

PyPI Version PyPI - License tests

import simplematch

simplematch.match("He* {planet}!", "Hello World!")
>>> {"planet": "World"}

simplematch.match("It* {temp:float}°C *", "It's -10.2°C outside!")
>>> {"temp": -10.2}


pip install simplematch

(Or just drop the file in your project.)


simplematch has only two syntax elements:

  • wildcard *
  • capture group {name}

Capture groups can be named ({name}), unnamed ({}) and typed ({name:float}).

The following types are available:

  • int
  • float
  • email
  • url
  • ipv4
  • ipv6
  • bitcoin
  • ssn (social security number)
  • ccard (matches Visa, MasterCard, American Express, Diners Club, Discover, JCB)

For now, only named capture groups can be typed.

Then use one of these functions:

import simplematch

simplematch.match(pattern, string) # -> returns a `dict` on match, `None` otherwise.
simplematch.test(pattern, string)  # -> returns `True` on match, `False` otherwise.

Or use a Matcher object:

import simplematch as sm

matcher = sm.Matcher(pattern)

matcher.match(string) # -> returns a dict or None
matcher.test(string)  # -> returns True / False
matcher.regex         # -> shows the generated regex

Basic usage

import simplematch as sm

# extracting data
>>> {"year": "2021", "month": "01", "day": "15"}

# test match only
sm.test("ABC-{value:int}", "ABC-13")
>>> True

Typed matches

import simplematch as sm

matcher = sm.Matcher("{year:int}-{month:int}: {value:float}")

# extracting data
matcher.match("2021-01: -12.786")
>>> {"year": 2021, "month": 1, "value": -12.786}

# month is no integer -> no match and return `None`.
matcher.match("2021-AB: Hello")
>>> None

# no extraction, only test for match
matcher.test("1234-01: 123.123")
>>> True

# show generated regular expression
>>> '^(?P<year>[+-]?[0-9]+)\\-(?P<month>[+-]?[0-9]+):\\ (?P<value>[+-]?(?:[0-9]*[.])?[0-9]+)$'

# show registered converters
>>> {'year': <class 'int'>, 'month': <class 'int'>, 'value': <class 'float'>}

Register your own types

You can register your own types to be available for the {name:type} matching syntax with the register_type function.

simplematch.register_type(name, regex, converter=str)

  • name is the name to use in the matching syntax
  • regex is a regular expression to match your type
  • converter is a callable to convert a match (str by default)


Register a smiley type to detect smileys (:), :(, :/) and getting their moods:

import simplematch as sm

def mood_convert(smiley):
    moods = {
        ":)": "good",
        ":(": "bad",
        ":/": "sceptic",
    return moods.get(smiley, "unknown")

sm.register_type("smiley", r":[\)\(\/]", mood_convert)

sm.match("I'm feeling {mood:smiley} *", "I'm feeling :) today!")
>>> {"mood": "good"}


simplematch aims to fill a gap between parsing with str.split() and regular expressions. It should be as simple as possible, fast and stable.

The simplematch syntax is transpiled to regular expressions under the hood, so matching performance should be just as good.

I hope you get some good use out of this!


Contributions are welcome! Just submit a PR and maybe get in touch with me via email before big changes.



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