Tools for various online judges. Downloading sample cases, generating additional test cases, testing your code, and submitting it.
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Tools for various online judges. Downloading sample cases, generating additional test cases, testing your code, and submitting it.
A library that creates fully populated objects for your unit tests.
A tool for generating self-contained, type-safe test doubles in go
The httperf HTTP load generator
Data generation and property-based testing for Elixir. 🔮
Generate Laravel test factories from your existing models
🎯🗯 Dataset generation for AI chatbots, NLP tasks, named entity recognition or text classification models using a simple DSL!
Open-source self-improving QA agent for software teams. A test harness with memory. Write tests in natural language for web and mobile. agent-qa learns from every run, adapts to UI changes, and catches regressions before you ship.
Full featured next gen Clojure test runner
GenFu is a library you can use to generate realistic test data. It is composed of several property fillers that can populate commonly named properties through reflection using an internal database of values or randomly created data. You can override any of the fillers, give GenFu hints on how to fill them.
Harmful workload generator for PostgreSQL
Expressive end-to-end HTTP API testing made easy in Go
Powerful mock generation tool for Go programming language
Java fake data generator
We well know GANs for success in the realistic image generation. However, they can be applied in tabular data generation. We will review and examine some recent papers about tabular GANs in action.
A tiny generator of random data for swift
Event data simulator. Generates a stream of pseudo-random events from a set of users, designed to simulate web traffic.
Port of a popular ruby faker gem written in kotlin. Generate realistically looking fake data such as names, addresses, banking details, and many more, that can be used for testing and data anonymization purposes.
Generate mocks from ActiveRecord models for unit tests that run fast because they don’t need to load Rails or a database.
Generator fake objects from a template
C++ Faker library for generating fake (but realistic) data.
Framework allows to perform load testing with Apache Jmeter, view application/server metrics in real-time with Grafana, analyze errors cause with detailed traces for failed requests, compare different test runs in scripted dashboard and perform frontend performance testing with sitespeed.io+webpagetest
QuickCheck inspired property-based testing for OCaml.
Shift-left API Integration | Auto-fix integration drift before integration. Specmatic turns API specifications into executable contracts, continuously verifying that every change made by AI coding agents and engineers stays true to the desired behaviour. Ship AI-ready APIs 10x faster, from intent to implementation, with Spec-Driven API Development.