Python Regression-testing Resources

A simple watcher for pytest Overview pytest-watcher is a tool to automatically rerun pytest when your code changes. It looks for the following events:

The pytest framework makes it easy to write small tests, yet scales to support complex functional testing for applications and libraries. An example o

Faker is a Python package that generates fake data for you. Whether you need to bootstrap your database, create good-looking XML documents, fill-in yo

What is this This is a framework designed to test authentication for web applications. While web proxies like ZAProxy and Burpsuite allow authenticate

DRF OpenAPI Tester This is a test utility to validate DRF Test Responses against OpenAPI 2 and 3 schema. It has built-in support for: OpenAPI 2/3 yaml

Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR

kbdtest kbdtest is a simple Python program that tests keyboard input using an interactive, terminal-based, visual keyboard display. It was originally

pytest-django allows you to test your Django project/applications with the pytest testing tool.

Using AWS's API Gateway + Lambda + Python to run a simple websocket application. For learning/testing. The AWS Resources seemed overly complex and were missing some critical gotchas in setting up a system like this.

tgvc-video-tests Just for testing video streaming using pytgcalls. Note: The features used in this repository is highly experimental and you might not

Access hacksec.in from your command-line

graphw00f - GraphQL Server Fingerprinting graphw00f (inspired by wafw00f) is the GraphQL fingerprinting tool for GQL endpoints. Table of Contents How

Generates realistic traffic for load testing tile servers. Useful for: Measuring throughput, latency and concurrency of your tile serving stack. Ident

A real-time tech course finder, created using Elasticsearch, Python, React+Redux, Docker, and Kubernetes.

pywinauto is a set of python modules to automate the Microsoft Windows GUI. At its simplest it allows you to send mouse and keyboard actions to windows dialogs and controls, but it has support for more complex actions like getting text data.

Malicious PDF Generator ☠️ Generate ten different malicious pdf files with phone-home functionality. Can be used with Burp Collaborator. Used for pene

Text Classification Baseline Pipeline for fast building text classification TF-IDF + LogReg baselines. Usage Instead of writing custom code for specif

SADRNet Paper link: SADRNet: Self-Aligned Dual Face Regression Networks for Robust 3D Dense Face Alignment and Reconstruction Requirements python

CoRe Created by Xumin Yu*, Yongming Rao*, Wenliang Zhao, Jiwen Lu, Jie Zhou This is the PyTorch implementation for ICCV paper Group-aware Contrastive

Embark is being developed to provide the firmware security analyzer emba as a containerized service and to ease accessibility to emba regardless of system and operating system.

AD penetration Testing Project By Ruben Enkaoua - GL4Di4T0R Based on the TCM PEH course (Heath Adams) Index 1 - Setting Up the Lab Intallation of a Wi

Putter-CUP A tool for testing improper put method vulnerability Usage :- python3 put.py -f live-subs.txt Result :- The result in txt file "result.txt"

Django-google-optimize Django-google-optimize is a Django application designed to make running Google Optimize A/B tests easy. Here is a tutorial on t

DRF OpenAPI Tester This is a test utility to validate DRF Test Responses against OpenAPI 2 and 3 schema. It has built-in support for: OpenAPI 2/3 yaml

django-test-plus Useful additions to Django's default TestCase from REVSYS Rationale Let's face it, writing tests isn't always fun. Part of the reason

django-test-migrations Features Allows to test django schema and data migrations Allows to test both forward and rollback migrations Allows to test th

Phoenix Framework is an environment for writing, testing and using exploit code. 🖼 Screenshots 🎪 Community PwnWiki Forums 🔑 Licen

NeuralSymbolicRegressionThatScales Pytorch implementation and pretrained models for the paper "Neural Symbolic Regression That Scales", presented at I

Active Testing: Sample-Efficient Model Evaluation Hi, good to see you here! 👋 This is code for "Active Testing: Sample-Efficient Model Evaluation". P

RESTler is the first stateful REST API fuzzing tool for automatically testing cloud services through their REST APIs and finding security and reliability bugs in these services.

Easily turn single threaded command line applications into a fast, multi-threaded application with CIDR and glob support.

Human Pose Regression with Residual Log-likelihood Estimation [Paper] [arXiv] [Project Page] Human Pose Regression with Residual Log-likelihood Estima

Polarized Self-Attention: Towards High-quality Pixel-wise Regression This is an official implementation of: Huajun Liu, Fuqiang Liu, Xinyi Fan and Don

LARGE: Latent-Based Regression through GAN Semantics [Project Website] [Google Colab] [Paper] LARGE: Latent-Based Regression through GAN Semantics Yot

What is this This is a framework designed to test authentication for web applications. While web proxies like ZAProxy and Burpsuite allow authenticate

Automated Integration Testing and Live Documentation for your API

The tool helps to find hidden parameters that can be vulnerable or can reveal interesting functionality that other hunters miss. Greater accuracy is achieved thanks to the line-by-line comparison of pages, comparison of response code and reflections.

Quantile Regression DQN Quantile Regression DQN a Minimal Working Example, Distributional Reinforcement Learning with Quantile Regression (https://arx

GDR-Net This repo provides the PyTorch implementation of the work: Gu Wang, Fabian Manhardt, Federico Tombari, Xiangyang Ji. GDR-Net: Geometry-Guided

domhttpx is a google search engine dorker with HTTP toolkit built with python, can make it easier for you to find many URLs/IPs at once with fast time

TransFill-Reference-Inpainting This is the official repo for TransFill: Reference-guided Image Inpainting by Merging Multiple Color and Spatial Transf

Objective of the repository is to learn and build machine learning models using Pytorch. 30DaysofML Using Pytorch

CloudAAE This is an tensorflow implementation of "CloudAAE: Learning 6D Object Pose Regression with On-line Data Synthesis on Point Clouds" Files log:

Payment-Date-Prediction Machine Learning Model to predict the payment date of an invoice when it gets created in the system.

N-WEB ADVANCE WEB PENETRATION TESTING TOOL Features 🎭 Admin Panel Finder Admin Scanner Dork Generator Advance Dork Finder Extract Links No Redirect H

HPRNet: Hierarchical Point Regression for Whole-Body Human Pose Estimation Official PyTroch implementation of HPRNet. HPRNet: Hierarchical Point Regre

Datalog is a popular query language with applications in several domains. Like any complex piece of software, Datalog engines may contain bugs. The mo

Delving into Deep Imbalanced Regression This repository contains the implementation code for paper: Delving into Deep Imbalanced Regression Yuzhe Yang

Introduction This repository contains a testing script for nmigen-boards that tries to build blinky for all the platforms provided by nmigen-boards.

Self-Supervised Reward Regression (SSRR) Codebase for CoRL 2021 paper "Learning from Suboptimal Demonstration via Self-Supervised Reward Regression "

This is the repository for The Python Workshop, published by Packt. It contains all the supporting project files necessary to work through the course from start to finish.

AutoPentest-DRL: Automated Penetration Testing Using Deep Reinforcement Learning AutoPentest-DRL is an automated penetration testing framework based o

Code to run experiments in SLOE: A Faster Method for Statistical Inference in High-Dimensional Logistic Regression. Not an official Google product. Me

Use jsf along with fake data generators to provide consistent and meaningful fake data for your system.

Ward is a modern test framework for Python with a focus on productivity and readability.

Time series Timeseries Deep Learning Pytorch fastai - State-of-the-art Deep Learning with Time Series and Sequences in Pytorch / fastai

30 Days Of Machine Learning Using Pytorch Objective of the repository is to learn and build machine learning models using Pytorch. List of Algorithms

About statsmodels statsmodels is a Python package that provides a complement to scipy for statistical computations including descriptive statistics an

Django-fakery An easy-to-use implementation of Creation Methods (aka Object Factory) for Django, backed by Faker. django_fakery will try to guess the

The Mixer is a helper to generate instances of Django or SQLAlchemy models. It's useful for testing and fixture replacement. Fast and convenient test-

KAIST VIO dataset This is the dataset for testing the robustness of various VO/VIO methods You can download the whole dataset on KAIST VIO dataset Ind

hyppo (HYPothesis Testing in PythOn, pronounced "Hippo") is an open-source software package for multivariate hypothesis testing.

Implementation of different ML Algorithms from scratch, written in Python 3.x

cmake-init - The missing CMake project initializer Opinionated CMake project initializer to generate CMake projects that are FetchContent ready, separ

|Anaconda|_ MAPIE - Model Agnostic Prediction Interval Estimator MAPIE allows you to easily estimate prediction intervals using your favourite sklearn

Parallelized symbolic regression built on Julia, and interfaced by Python. Uses regularized evolution, simulated annealing, and gradient-free optimization.

Divide Et Impera And Scan (and also merge the scan results) DivideAndScan is used to efficiently automate port scanning routine by splitting it into 3

CVPR2018-Baseline-PSNRplot This is my codes that can visualize the psnr image in testing videos. Future Frame Prediction for Anomaly Detection – A New

Automated Penetration Testing Framework

A tour through tensorflow with financial data I present several models ranging in complexity from simple regression to LSTM and policy networks. The s

IntroNeuralNetworks in Python: A Template Project IntroNeuralNetworks is a project that introduces neural networks and illustrates an example of how o

Bottom-Up Human Pose Estimation Via Disentangled Keypoint Regression Introduction In this paper, we are interested in the bottom-up paradigm of estima

speedtest-cli Command line interface for testing internet bandwidth using speedtest.net Versions speedtest-cli works with Python 2.4-3.7 Installation

PyMAF This repository contains the code for the following paper: 3D Human Pose and Shape Regression with Pyramidal Mesh Alignment Feedback Loop Hongwe

deep-significance: Easy and Better Significance Testing for Deep Neural Networks Contents ⁉️ Why 📥 Installation 🔖 Examples Intermezzo: Almost Stocha

celer Fast algorithm to solve Lasso-like problems with dual extrapolation. Currently, the package handles the following problems: Lasso weighted Lasso

lightning lightning is a library for large-scale linear classification, regression and ranking in Python. Highlights: follows the scikit-learn API con

Welcome to sktime A unified framework for machine learning with time series We provide specialized time series algorithms and scikit-learn compatible

RRD: Rotation-Sensitive Regression for Oriented Scene Text Detection For more details, please refer to our paper. Citing Please cite the related works

DewarpNet This repository contains the codes for DewarpNet training. Recent Updates [May, 2020] Added evaluation images and an important note about Ma

Infection Monkey Data center Security Testing Tool Welcome to the Infection Monkey! The Infection Monkey is an open source security tool for testing a

DC/OS - The Datacenter Operating System The easiest way to run microservices, big data, and containers in production. What is DC/OS? Like traditional

Welcome to gplearn! gplearn implements Genetic Programming in Python, with a scikit-learn inspired and compatible API. While Genetic Programming (GP)

Feature Forge This library provides a set of tools that can be useful in many machine learning applications (classification, clustering, regression, e

The Bias and Fairness Audit Toolkit Aequitas is an open-source bias audit toolkit for data scientists, machine learning researchers, and policymakers

Algorithms and Data Structures (ands) Introduction This project was created for personal use mostly while studying for an exam (starting in the month

Website | Documentation | Tutorials | Installation | Release Notes CatBoost is a machine learning method based on gradient boosting over decision tree

What's new We have recently released ThunderGBM, a fast GBDT and Random Forest library on GPUs. add scikit-learn interface, see here Overview The miss

Python Extreme Learning Machine (ELM) Python Extreme Learning Machine (ELM) is a machine learning technique used for classification/regression tasks.

MLBox is a powerful Automated Machine Learning python library. It provides the following features: Fast reading and distributed data preprocessing/cle

[Due to the time taken @ uni, work + hell breaking loose in my life, since things have calmed down a bit, will continue commiting!!!] [By the way, I'm

a fast, flexible machine learning library Home | Documentation | Doxygen | Community | Help | IRC Chat Download: current stable version (3.4.2) mlpack

Orange Data Mining Orange is a data mining and visualization toolbox for novice and expert alike. To explore data with Orange, one requires no program

iter8-analytics iter8 enables statistically robust continuous experimentation of microservices in your CI/CD pipelines. For in-depth information about

pytest-flask An extension of pytest test runner which provides a set of useful tools to simplify testing and development of the Flask extensions and a

SeaLion is designed to teach today's aspiring ml-engineers the popular machine learning concepts of today in a way that gives both intuition and ways of application. We do this through concise algorithms that do the job in the least jargon possible and examples to guide you through every step of the way.

The Mixer is a helper to generate instances of Django or SQLAlchemy models. It's useful for testing and fixture replacement. Fast and convenient test-

What's new We have recently released ThunderGBM, a fast GBDT and Random Forest library on GPUs. add scikit-learn interface, see here Overview The miss

a fast, flexible machine learning library Home | Documentation | Doxygen | Community | Help | IRC Chat Download: current stable version (3.4.2) mlpack

Website | Documentation | Tutorials | Installation | Release Notes CatBoost is a machine learning method based on gradient boosting over decision tree