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.. module:: passlib.pwd
:synopsis: password generation helpers
=================================================
:mod:`passlib.pwd` -- Password generation helpers
=================================================
.. versionadded:: 1.7
Password Generation
===================
.. rst-class:: float-center
.. warning::
Before using these routines, make sure your system's RNG entropy pool is
secure and full. Also make sure that :func:`!genword` or :func:`!genphrase`
is called with a sufficiently high ``entropy`` parameter
the intended purpose of the password.
.. autofunction:: genword(entropy=None, length=None, charset="ascii_62", chars=None, returns=None)
.. autofunction:: genphrase(entropy=None, length=None, wordset="eff_long", words=None, sep=" ", returns=None)
Predefined Symbol Sets
======================
The following predefined sets are used by the generation functions above,
but are exported by this module for general use:
.. object:: default_charsets
Dictionary mapping charset name -> string of characters, used by :func:`genword`.
See that function for a list of predefined charsets present in this dict.
.. object:: default_wordsets
Dictionary mapping wordset name -> tuple of words, used by :func:`genphrase`.
See that function for a list of predefined wordsets present in this dict.
(Note that this is actually a special object which will lazy-load
wordsets from disk on-demand)
Password Strength Estimation
============================
Passlib does not currently offer any password strength estimation routines.
However, the (javascript-based) `zxcvbn <https://github.com/dropbox/zxcvbn>`_
project is a *very* good choice.
Though there are a few different python ports of ZXCVBN library, as of 2019-3-4,
`zxcvbn <https://pypi.python.org/pypi/zxcvbn>` is the most up-to-date,
and is endorsed by the upstream zxcvbn developers.
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