An easy to use and powerful chaos engineering experiment toolkit.(阿里巴巴开源的一款简单易用、功能强大的混沌实验注入工具)
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Updated
Nov 5, 2026 - Python
An easy to use and powerful chaos engineering experiment toolkit.(阿里巴巴开源的一款简单易用、功能强大的混沌实验注入工具)
Collection of AWS SSM Documents to perform Chaos Engineering experiments
infrastructure chaos to test the resilience of ai agents
YChaos - The Resilience Framework by Yahoo!
Failure as a Service. Provides many misbehaviors... as a Service.
Nudnik - Infrastructure Fuzzing
Chaos Machine is a complete chaos engineering workflow that enables customers to run controlled chaos experiments with the AWS Fault Injection Service and test hypotheses related to system behavior using metrics and alarms from CloudWatch and Prometheus.
Randomized (chaos) testing for OpenShift Container Storage
Automated chaos testing for Python — fault injection, property assertions, and stateful exploration
An automated, reproducible search engine for identifying stable 3-body orbital configurations using 4th-Order Runge-Kutta (RK4) integration, collision/ejection tracking, and interest-level classification.
YAML-first stress testing for AI agents. Write a contract, inject faults, catch behavioral drift, enforce cost budgets. No Python test code needed — just kelp.yaml and a terminal.
Deterministic failure scenarios for resilient browser automation testing.
Chaos testing for agentic AI — fault injection hooks for openai-agents-python
ChaosProof — Chaos Engineering Lab with Automated Recovery Testing
extension reverseproxy observability
Pit Window is a real-time Formula 1 race strategy simulation and modeling engine. It ingests live lap telemetry, filters out fuel weight variables, and dynamically calculates tire degradation using linear regression to recommend optimal pit-stop timing (e.g., Stay Out, Pit Now, or Pit in 2/3 Laps) via a modern Next.js dashboard.
Pull the plug on your AI agent in the middle of a run, and see what breaks.
SentinelQA is an automated QA testing platform for web applications featuring cross-browser testing, parallel execution, chaos testing, visual regression, artifact collection, and an analytics dashboard for test insights.
Deterministic fault injection and resilience testing for distributed Edge / IoT systems.
Programmable syscall interception and fault injection in Python
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