Perry

This package implements functionalities for working with Stochastic Differential Equations models (SDEs for short).It includes simulation routines as well as estimation methods based on observed time series. Conceptually the information required to describe an SDEs can be divided in three groups: model, sampling and data.The sdelearn class is the main class of this package, dedicated to the interaction with the user. How to create a sdelearn class? A sdelearn class is based on three dedicated subclasses, SdeModel, SdeSampling and SdeData,containing […]

It is very much a work in progress, please don’t expect it to work! Architecture The Django framework ties this project together and so a basic knowledge of Django is very useful if you want to work on this. This has no dependencies on GCP or AWS, a DockerFile is provided as a deployment option. There is also a Makefile with some handy commands to get up and running. Scheduling of tasks uses apscheduler, wrapped in django_apscheduler. There are two […]

EasyBuild EasyBuild is a software build and installation framework that allows you to manage (scientific) software on High Performance Computing (HPC) systems in an efficient way. The easybuild-easyblocks package provides a collection of easyblocks for EasyBuild. Easyblocks are Python modules that implement the install procedure for a (group of) software package(s). Together with the EasyBuild framework, they allow to easily build and install supported software packages. The EasyBuild documentation is available at http://easybuild.readthedocs.org/. The easybuild-easyblocks source code is hosted on […]

pyHype pyHype is a Python framework for developing parallelized Computational Fluid Dynamics software to solve the hyperbolic 2D Euler equations on distributed, multi-block structured grids. It can be used as a solver to generate numerical predictions of 2D inviscid flow fields, or as a platform for developing new CFD techniques and methods. Contributions are welcome! pyHype is in early stages of development, I will be updating it regularly, along with its documentation. The core idea behind pyHype is flexibility and […]

Ape Framework Ape is a framework for Web3 Python applications and smart contracts, with advanced functionality for testing, deployment, and on-chain interactions. Dependencies python3 version 3.6 or greater, python3-dev Installation via pip You can install the latest release via pip: pip install eth-ape via setuptools You can clone the repository and use setuptools for the most up-to-date version: git clone https://github.com/ApeWorX/ape.git cd ape python3 setup.py install Quick Usage Ape is primarily meant to be used as a command line tool. […]

appier Appier is an object-oriented Python web framework built for super fast app development. It’s as lightweight as possible, but not too lightweight. It gives you the power of bigger frameworks, without their complexity. Your first app can be just a few lines long: import appier class HelloApp(appier.App): @appier.route(“/”, “GET”) def hello(self): return “Hello World” HelloApp().serve() The same app using the async/await syntax (Python 3.5+) for async execution reads pretty much the same: import appier class HelloApp(appier.App): @appier.route(“/”, “GET”) async […]

iPwn A Framework meant for the exploitation of iOS devices. iPwn is a framework meant for exploiting and and gaining access to iOS devices. It also has an extension that is a mini-framework called ‘iSteal’ that is meant for post-exploitation (after you get access to the device). This description will walk you through the different ways and steps to get access to an iOS device and harvest information from it. The first way of getting access to an iOS device. […]

ARTIF ARTIF is a new advanced real time threat intelligence framework built that adds another abstraction layer on the top of MISP to identify threats and malicious web traffic on the basis of IP reputation and historical data. It also performs automatic enrichment and threat scoring by collecting, processing and correlating observables based on different factors. Key features of ARTIF includes:- Scoring System: Enriches IP addresses with threat metadata including a threat score which can act as a threshold value […]