Supercharged End 2 End Testing Framework for NodeJS
- codeceptjs
- webdriverio
- selenium-webdriver
- acceptance-testing
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Supercharged End 2 End Testing Framework for NodeJS
Awaitility is a small Java DSL for synchronizing asynchronous operations
Fortio load testing library, command line tool, advanced echo server and web UI in go (golang). Allows to specify a set query-per-second load and record latency histograms and other useful stats.
JSLint, The JavaScript Code Quality and Coverage Tool
Simple one-liner tests for common Rails functionality
minitest provides a complete suite of testing facilities supporting TDD, BDD, and benchmarking.
Simple gRPC benchmarking and load testing tool
Go faster, off the Rails - Benchmarks for your whole Rails app
🔮 Proxies nodejs require in order to allow overriding dependencies during testing.
Cucumber for golang
Easy benchmarking of all publicly accessible implementations of convnets
Automated Security Testing For REST API's
Testcontainers is a NodeJS library that supports tests, providing lightweight, throwaway instances of common databases, Selenium web browsers, or anything else that can run in a Docker container.
Runs a load test on the selected URL. Fast and easy to use. Can be integrated in your own workflow using the API.
Load and performance benchmark tool
An in memory postgres DB instance for your unit tests
Distributed load-testing framework for .NET. Create distributed load test scenarios entirely using plain C# or F#. It is designed to test any system regardless of the protocol or a semantic model (Pull/Push).
:zap: Go web framework benchmark
Automation-friendly framework for Continuous Testing by
The open source, cloud native tool for API Mocking and Testing. Microcks is a Cloud Native Computing Foundation incubating project 🚀
PHP Benchmarking framework
Performance monitoring and benchmarking suite
Concise UI Tests with Java!
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).