Noise is a framework for building crypto protocols. Noise protocols support mutual and optional authentication, identity hiding, forward secrecy, zero round-trip encryption, and other advanced features.

A Frame Stack Sampler for CPython

Austin is a Python frame stack sampler for CPython written in pure C. Samples are collected by reading the CPython interpreter virtual memory space in order to retrieve information about the currently running threads along with the stack of the frames that are being executed. Hence, one can use Austin to easily make powerful statistical profilers that have minimal impact on the target application and that don't require any instrumentation.

The key features of Austin are:

• Zero instrumentation;
• Minimal impact;
• Fast and lightweight;
• Time and memory profiling;
• Built-in support for multi-process applications (e.g. mod_wsgi).

The simplest way to turn Austin into a full-fledged profiler is to combine it with FlameGraph. However, Austin's simple output format can be piped into any other external or custom tool for further processing. Look, for instance, at the following Python TUI

FastAPI is a modern, fast (high-performance), web framework for building APIs with Python 3.6+ based on standard Python type hints.

The key features are:

• Fast: Very high performance, on par with NodeJS and Go (thanks to Starlette and Pydantic). One of the fastest Python frameworks available.

• Fast to code: Increase the speed to develop features by about 200% to 300% *.

• Fewer bugs: Reduce about 40% of human (developer) induced errors. *

• Intuitive: Great editor support. Completion everywhere. Less time debugging.

• Easy: Designed to be easy to use and learn. Less time reading docs.

• Short: Minimize code duplication. Multiple features from each parameter declaration. Fewer bugs.

• Robust: Get production-ready code. With automatic interactive documentation.

• Standards-based: Based on (and fully compatible with) the open standards for APIs: OpenAPI (previously known as Swagger) and JSON Schema.

Cornice provides helpers to build & document REST-ish Web Services with Pyramid, with decent default behaviors. It takes care of following the HTTP specification in an automated way where possible.

We designed and implemented cornice in a really simple way, so it is easy to use and you can get started in a matter of minutes.

Web Services Made Easy (WSME) simplifies the writing of REST web services by providing simple yet powerful typing, removing the need to directly manipulate the request and the response objects.

WSME can work standalone or on top of your favorite Python web (micro)framework, so you can use both your preferred way of routing your REST requests and most of the features of WSME that rely on the typing system like:

Alternate protocols, including those supporting batch-calls
Easy documentation through a Sphinx extension

WSME is originally a rewrite of TGWebServices with a focus on extensibility, framework-independance and better type handling.

An OpenStack library for parsing configuration options from the command line and configuration files.

Eve is an open source Python REST API framework designed for human beings. It allows to effortlessly build and deploy highly customizable, fully featured RESTful Web Services.

Eve is powered by Flask and Cerberus and it offers native support for MongoDB data stores. Support for SQL, Elasticsearch and Neo4js backends is provided by community extensions.

The codebase is thoroughly tested under Python 2.7, 3.4+, and PyPy.

Cerberus provides powerful yet simple and lightweight data validation functionality out of the box and is designed to be easily extensible, allowing for custom validation. It has no dependencies and is thoroughly tested from Python 2.7 up to 3.6, PyPy and PyPy3.

Publishes RSS/Atom feeds to Diaspora*

This is a lightweight, customizable "bot" script to harvest RSS/Atom feeds and re-publish them to the Diaspora social network. It is posted here without warranty, for public use.

v2 is a complete re-write of the original pod_feeder script which was written (poorly) in perl and is no longer supported. Migrating to this version is recommended.

uMap lets you create maps with OpenStreetMap layers in a minute and embed them in your site. Because we think that the more OSM will be used, the more OSM will be improved. It uses django-leaflet-storage and Leaflet.Storage, built on top of Django and Leaflet.

In this tutorial on decorators, we’ll look at what they are and how to create and use them. Decorators provide a simple syntax for calling higher-order functions.

By definition, a decorator is a function that takes another function and extends the behavior of the latter function without explicitly modifying it.

This sounds confusing, but it’s really not, especially after you’ve seen a few examples of how decorators work. You can find all the examples from this article here.

PyInstaller freezes (packages) Python applications into stand-alone executables, under Windows, GNU/Linux, Mac OS X, FreeBSD, Solaris and AIX.

PyInstaller’s main advantages over similar tools are that PyInstaller works with Python 2.7 and 3.4—3.7, it builds smaller executables thanks to transparent compression, it is fully multi-platform, and use the OS support to load the dynamic libraries, thus ensuring full compatibility

borgmatic is a simple Python wrapper script for the Borg backup software that initiates a backup, prunes any old backups according to a retention policy, and validates backups for consistency. The script supports specifying your settings in a declarative configuration file rather than having to put them all on the command-line, and handles common errors.

In Python, a decorator is a design pattern that we can use to add new functionality to an already existing object without the need to modify its structure. A decorator should be called directly before the function that is to be extended. With decorators, you can modify the functionality of a method, a function, or a class dynamically without directly using subclasses. This is a good idea when you want to extend the functionality of a function that you don't want to directly modify. Decorator patterns can be implemented everywhere, but Python provides more expressive syntax and features for that.

Modern, scalable and powerful
Productivity first and foremost
Loved by business, devs and IT

Build and orchestrate integration services, expose new or existing APIs, either cloud or on-premise, and use a wide range of connectors, data formats and protocols.

Zato facilitates intercommunication across applications and data sources spanning your organization's business or technical boundaries and beyond, enabling you to access, design, develop or discover new opportunities and processes.

In this tutorial, we will explore the conversion of Python scripts to Windows executable files in four simple steps. Although there are many ways to do it, we'll be covering, according to popular opinion, the simplest one so far.

Ansible Runner is a tool and python library that helps when interfacing with Ansible directly or as part of another system whether that be through a container image interface, as a standalone tool, or as a Python module that can be imported. The goal is to provide a stable and consistent interface abstraction to Ansible. This allows Ansible to be embedded into other systems that don’t want to manage the complexities of the interface on their own (such as CI/CD platforms, Jenkins, or other automated tooling).

We’ve spent the last two years automating and improving our migration process to address key issues we were having — manual intervention, backwards compatibility, correctness, and performance. This post dives into the problems we ran into and highlights some learnings and tools we made along the way.