Pyfilesystem is a Python module that provides a simplified common interface to
many types of filesystem. Filesystems exposed via Pyfilesystem can also be
served over the network, or 'mounted' on the native filesystem.
Pyfilesystem simplifies working directories and paths, even if you only intend
to work with local files. Differences in path formats between platforms are
abstracted away, and you can write code that sand-boxes any changes to a given
directory.
Hypothesis is a library for testing your Python code against a much larger
range of examples than you would ever want to write by hand. It's based on the
Haskell library, Quickcheck, and is designed to integrate seamlessly into your
existing Python unit testing work flow.
Python-LLFUSE is a set of Python bindings for the low level FUSE API. It
requires at least FUSE 2.8.0 and supports both Python 2.x and 3.x. It runs
under Linux, OS-X, FreeBSD and NetBSD.
Logan is a toolkit for running standalone Django applications. It provides you
with tools to create a CLI runner, manage settings, and the ability to bootstrap
the process.
An Angular SDK for the Matrix project.
memory_profiler is a python module for monitoring memory consumption of a
process as well as line-by-line analysis of memory consumption for python
programs. It is a pure python module and has the psutil module as optional
(but highly recommended) dependencies.
MessagePack is a binary-based efficient data interchange format that is focused
on high performance. It is like JSON, but very fast and small.
pkgconfig is a Python module to interface with the pkg-config command line tool.
Pycerberus is a framework to check user data thoroughly so that you can
protect your application from malicious (or just garbled) input data.
* Remove stupid code which converts input values: After values are
validated, you can work with real Python types instead of strings -
e.g. 42 instead of '42', convert database IDs to model objects
transparently.
* Implement custom validation rules: Writing custom validators is
straightforward, everything is well documented and pycerberus only
uses very little Python magic.
* Focus on your value-adding application code: Save time by
implementing every input validation rule only once, but 100% right
instead of implementing a dozen different half-baked solutions.
* Ready for global business: i18n support (based on GNU gettext) is
built in, adding custom translations is easy.
* Tune it for your needs: You can implement custom behavior in your
validators, e.g. fetch translations from a database instead of using
gettext or define custom translations for built-in validators.
* Use it wherever you like: pycerberus is used in a SMTP server, trac
macros as well as web applications - there are no dependecies on a
specific context like web development.
Pydenticon is a small utility library that can be used for deterministically
generating identicons based on the hash of provided data.