Skip to main content

Regex Patterns

PyPI - Downloads Twitter Follow PyPI - Python Version PyPI reliability rating GitHub Workflow Status

An improved version of commonly used regular expressions in Python



Inspired by and improved upon:

This is a collection of commonly used regular expressions. This library provides a simple API interface to match the strings corresponding to specified patterns.

Installation

pip install --upgrade regex-patterns

Usage

from regex_patterns import RegexPatterns

patterns = RegexPatterns()

text = (
    "John, please get that article on www.linkedin.com to me by 5:00PM on Jan 9th 2012. "
    "4:00 would be ideal, actually or 5:30 P.M. If you have any questions, You can "
    "reach me at (519)-236-2723x341 or get in touch with my associate at "
    "harold_smith@gmail.com. You can find my ip address at 127.0.0.1 or at "
    "64.248.67.225. I also have a secret protected with md5 "
    "8a2292371ee60f8212096c06fe3335fd. The internal webpage to get the article from is "
    "https://internal.sharepoint.edu.au"
)

date_list = patterns.dates(text)
# ['Jan 9th 2012']
time_list = patterns.times(text)
# ['5:00pm', '4:00 ', '5:30 P.M.']
url_list = patterns.links(text)
# ['www.linkedin.com', 'gmail.com', 'https://internal.sharepoint.edu.au']
phone_list = patterns.phones_with_exts(text)  
# ['(519)-236-2723x341']
ip_list = patterns.ips(text)
# ['127.0.0.1', '64.248.67.225']
email_list = patterns.emails(text)
# ['harold_smith@gmail.com']
md5_list = patterns.md5_hashes(text)
# ['8a2292371ee60f8212096c06fe3335fd']

Features / Supported Methods

  • dates(text: str)
  • times(text: str)
  • phones(text: str)
  • phones_with_exts(text: str)
  • links(text: str)
  • emails(text: str)
  • ipv4s(text: str)
  • ipv6s(text: str)
  • ips(text: str)
  • not_known_ports(text: str)
  • prices(text: str)
  • hex_colors(text: str)
  • credit_cards(text: str)
  • visa_cards(text: str)
  • master_cards(text: str)
  • btc_address(text: str)
  • street_addresses(text: str)
  • zip_codes(text: str)
  • po_boxes(text: str)
  • ssn_numbers(text: str)
  • md5_hashes(text: str)
  • sha1_hashes(text: str)
  • sha256_hashes(text: str)
  • isbn13s(text: str)
  • isbn10s(text: str)
  • mac_addresses(text: str)
  • iban_numbers(text: str)
  • git_repos(text: str)

Metadata

Release files for regex-patterns 1.0.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for regex-patterns 1.0.0
File Size Uploaded Provenance Actions
regex_patterns-1.0.0.tar.gz 8.7 kB Without provenance Details for regex_patterns-1.0.0.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for regex-patterns 1.0.0
File Interpreter ABI Platform Actions
regex_patterns-1.0.0-py3-none-any.whl Python 3 none any Details for regex_patterns-1.0.0-py3-none-any.whl

Total release size: 16.6 kB

Release files / regex_patterns-1.0.0.tar.gz

Download URL regex_patterns-1.0.0.tar.gz
Size 8.7 kB
Tags Source
SHA-256 checksum
How to use checksums
b98ab19f0fab58e12d5f81aaf1b3a275af87c03656660575721407e903dcbc36
BLAKE2b-256 checksum
How to use checksums
5f452a3a2456ef1b8e0925f7d08be76d0c090320df6f4ce9878477ef3b2e5d32
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via poetry/1.3.2 CPython/3.9.16 Linux/5.15.0-1031-azure

Release files / regex_patterns-1.0.0-py3-none-any.whl

Download URL regex_patterns-1.0.0-py3-none-any.whl
Size 7.9 kB
Tags Python 3
SHA-256 checksum
How to use checksums
3f95948c81c0d90af6692b3ad32ee9b70725e6babbf8fb4a0794a51af09f1e87
BLAKE2b-256 checksum
How to use checksums
efaae6ad19e21ee8b967f46845ae3eb8139f7cf00ca4e0e631be4c99e66d8a32
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via poetry/1.3.2 CPython/3.9.16 Linux/5.15.0-1031-azure

Security for regex-patterns 1.0.0

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Release history Release notifications | RSS feed

This release

1.0.0 This release

2 release files No provenance

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page