Open-source alternatives to Python Mocket

Mimesis is a Python synthetic data generator used to create realistic fake datasets and mock data for software testing and development. It functions as a schema-based dataset generator capable of producing structured records and relational datasets, while also serving as a production data anonymizer to replace sensitive information with synthetic values. The library distinguishes itself through comprehensive multilingual support, allowing for the generation of locale-specific information to simulate regional user profiles. It ensures reproducibility through deterministic data generation using

Mock HTTPX with awesome request patterns and response side effects 🦋

Faker is a Python library designed to generate realistic synthetic data for software testing, database prototyping, and privacy-preserving anonymization. It provides a comprehensive suite of tools to create diverse information types, including personal identities, financial records, geographic locations, and technical system metadata, allowing developers to populate environments with mock data that mimics real-world structures. The library is built on a modular provider architecture that supports dynamic method dispatch, enabling users to extend functionality by registering custom data genera

Displays test coverage data in the sign column

Test Elm programs

A collection of resources covering different aspects of JMeter usage.

🔬 WebdriverIO support for Angular component test harnesses

BATS is a testing framework and automation tool for shell scripts and Unix programs. It functions as a test runner that validates the behavior of shell scripts by verifying command success and exit codes through automated test suites. The framework provides a compatible interface for the Test Anything Protocol, allowing it to export results for integration with external reporting tools and build pipelines. It also supports the use of container images to ensure consistent execution of test suites across different operating systems. The system manages the automated execution of test cases, inc

Tools to run playwright e2e tests in an angular workspace

Enzyme is a JavaScript component testing utility and test suite used to verify the behavior and rendered output of user interface components. It provides tools for simulating user interactions, updating component properties, and asserting that the resulting interface state matches expected outcomes. The project utilizes a pluggable adapter system to connect different user interface frameworks, allowing for consistent testing patterns across various libraries and versions. This architecture enables the verification of components across multiple UI library versions and different test runners.

A curated list of delightful Selenium resources.

PyAutoGUI is a Python GUI automation library and desktop automation framework. It provides a set of tools for programmatically controlling the mouse and keyboard to automate user interface interactions across different operating systems. The project functions as a cross-platform input simulator and computer vision screen scanner. It enables the simulation of keystrokes and cursor movements to perform repetitive tasks and utilizes screen analysis to locate specific images or pixel colors on the display. Its capability surface includes mouse and keyboard input simulation, screen image capture,

A collection of resources covering different aspects of Gatling load testing tool usage.

Collection of awesome 😎️ Python resources for testing

PyTest plugin for testing smart contracts for Ethereum blockchain.

Official awesome-list of CodeRabbit Starters & Resources ⚡️

a redux middleware to automatically generate tests for reducers through ui interaction

Plugin for http://unexpected.js.org to enable testing the full React virtual DOM, and also the shallow renderer

gdb-dashboard is a visual frontend and Python-based extension for GDB. It provides a modular dashboard that enables real-time visualization of program state during debugging sessions. The project replaces manual command-line interaction with a structured visual interface. It utilizes syntax highlighting for program state data to improve readability and analysis during the debugging process. The system focuses on C and C++ debugging, automating the monitoring of program memory and execution state through a text-based user interface. It achieves this by integrating with GDB APIs to retrieve sy

Dapp, Seth, Hevm, and more

A Neovim plugin to easily run and debug Jest tests

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pytest-mypy

Frontend tests that run in your real browser, against your real backend. No jsdom, no separate E2E stack.