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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.