ExUnit
ex-unit.hexdocs.pmElixir's built-in unit-testing framework for test cases, assertions, callbacks, and doctests.
Elixir's built-in unit-testing framework for test cases, assertions, callbacks, and doctests.
A dynamic application security testing service that scans web applications for vulnerabilities and supports follow-up remediation.
Load test websites, applications, and APIs with scripted browser or protocol bots, then inspect performance reports.
Practical Python explanations with working examples
Run JavaScript or TypeScript end-to-end tests against web applications in modern browsers.
Run JavaScript tests with built-in assertions and mocks for checking code behavior and dependency interactions.
Apple's Mac IDE for building, testing, debugging, and distributing apps for Apple platforms.
Model-based end-to-end test automation for enterprise applications and business workflows.
A Python command-line toolkit for authoring and running declarative chaos experiments against configured systems.
Automate unit and regression testing for embedded C/C++ software, from test design to target execution and coverage analysis.
Mock HTTP services so application tests can exercise request and response behavior without a live dependency.
Prototype vector search locally, then deploy Milvus as a standalone or distributed database.
Create visual, no-code browser tests with AI planning and API or CLI runs for CI.
A PowerShell framework for unit, integration, and environment tests with mocking and CI reports.
AI agents test live web and mobile apps on every pull request
Enterprise platform for testing, monitoring and evaluating AI systems in production
Open-source MCP server and client libraries for AI-assisted web and mobile testing.
Turns API definitions and collections into mocks, then runs contract-conformance and non-regression tests.
Generate project scaffolds from templates and carry template changes into generated repositories.
A browser-only Jupyter distribution for running interactive notebooks from static web files.
Explore portfolio weights with explicit return, risk and constraint choices
Build historical market simulations with configurable orders and costs
Fit portfolio models and evaluate them on later market data
Turn portfolio return histories into metrics, charts and shareable reports