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Password Strength Python Packages

Python packages with the GitHub topic password-strength. Sorted by monthly downloads, with stars and forks.
ubernostrum
pwned-passwords-django

Utilities for working with the Pwned Passwords database from Django.

204K 131 7
PlayerG9
password-library

utility library to verify, hash, compare and more for passwords

700 1 1
owaspvit
exopassword

ExoPassword is a Password Strength Analyzing module that combines Machine Learning, rule-based scoring, and breach detection to provide detailed insight regarding your passwords.

169 3 0
patarapolw
passwordstrength

Password strength calculator for Python

157 1 0
Leovalcante
random-password-generator-cli

Random Password Generator (rpg) is a utility command line tool to generate random entropic password

145 4 2
alanhasn
securetool

SecureTool is a comprehensive cybersecurity utility library designed to simplify security tasks such as network scanning, web scraping, password strength checking, encryption, and validation. With SecureTool, you get powerful, easy-to-use tools for vulnerability discovery and data extraction.

131 3 5
ardf
password-lib

'password_lib' is a Python package for strong password checking. It validates password strength based on length, lowercase/uppercase characters, special characters, and digits. Enhance your application's security with ease.

111 2 0
MahdiMirshafiee
paz-cli

Password Strength Analyzer

110 3 1
seanbreckenridge
keepassxc-pwned

Check your keepassxc database against previously breached haveibeenpwned passwords

81 37 5
lucifercr07
pwnd-checker

This application checks if your account has been breached and credentials are publicly accessible. Also checks if password breached and suggests strong passwords.

51 6 4
MohsenBizhani
passkey-generator-cli

Generate secure, tailored passwords with this powerful command-line tool. Built for flexibility and security, it offers customizable options and strength analysis.

45 0 0
kakwa
lcppolicy-cracklib

Cracklib password policy plugin for LdapCherry

44 1 0
    • Original data from PyPI, GitHub, and OSV; downloads served through ClickHouse
    • Sources & methodology