Faker is a Python package that generates fake data for you.
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Next generation framework for web scraping, e2e testing, product tours, and bypassing bot-detection.
- python
- selenium-python
- e2e-testing
- seleniumbase
The property-based testing library for Python
- python
- testing
- fuzzing
- property-based-testing
A library that allows you to easily mock out tests based on AWS infrastructure.
TranslatedDamai.cn ticket-grabbing script
- selenium
- beautifulsoup4
- requests
- python3
Ministack: Free, open-source local AWS emulator - 60+ services, Terraform compatible, real databases. Free forever. MIT licensed.
Catch API bugs before your users do
A synthetic data generator for text recognition
- synthetic
- data
- text-recognition
- training-set-generator
XcodeBenchmark measures the compilation time of a large codebase on iMac, MacBook, and Mac Pro
Synthetic data generation for tabular data
- synthetic-data
- machine-learning
- relational-datasets
- multi-table
A Coverage Explorer for Reverse Engineers
- ida-pro
- idapython
- hexrays
- code-coverage
cocotb: Python-based chip (RTL) verification
create custom test databases that are populated with fake data
- fake-content
- faker
- data
- database
Testcontainers is a Python library that providing a friendly API to run Docker container. It is designed to create runtime environment to use during your automatic tests.
- python
- python3
- testing
- testcontainers
Make continuous deployment safe by comparing before and after webpage screenshots for each release. Depicted shows when any visual, perceptual differences are found. This is the ultimate, automated end-to-end test.
Tools for various online judges. Downloading sample cases, generating additional test cases, testing your code, and submitting it.
- competitive-programming
- automation
- scraping
- atcoder
Generate the smallest test dataset that provably catches broken data-mapping rules in ETL pipelines.
Inferred Model-based Fuzzer
- fuzzer
- kernel-fuzzing
- macos
Cake Fuzzer is a project that is meant to help automatically and continuously discover vulnerabilities in web applications created based on specific frameworks with very limited false positives.
- cybersecurity
- hacking
- iast
- dast
Cell-by-cell testing for production Jupyter notebooks in JupyterLab
The Scenario Architect provides a lightweight graphical user interface that allows a straightforward realization and manipulation of concrete driving testing scenarios. Exemplary usecases are the validation of an online verification framework or training of an prediction algorithm.
- safety
- scenario
Source code release for the KRace project
Open-source simulation harness for testing AI agents. Simulate LLM and tool calls to test edge cases, failure paths, and agent logic without live API calls.
- ai-agents
- ai-testing
- llm
- llm-evaluation
Tooling for deploying, linting and testing relational database code