Flaky tests are one of the silent productivity killers in software development. They cause false alarms, reduce confidence in your test suite, and waste hours of debugging time. That’s why I built FlakyHunter, a comprehensive system designed to identify, analyze, and help resolve flaky tests across any software project.
What is FlakyHunter?
FlakyHunter is a full-stack application that combines a robust backend, an interactive frontend, and extensible plugins to support multiple testing frameworks. It helps developers and QA teams:
- Detect flaky tests in their codebase
- Understand the root causes behind test failures
- Track trends and patterns to improve test reliability
- Suggest potential remediation strategies
Key Features
1. Intelligent Backend
- Built with Python 3.13 and FastAPI for lightning-fast API responses.
- PostgreSQL database with SQLAlchemy ORM for structured and reliable data storage.
- Machine Learning scoring that predicts the probability of a test being flaky.
- Root cause analysis engine to highlight why a test fails intermittently.
- Comprehensive API endpoints to feed data into the frontend and plugins.
2. Interactive Frontend
- Developed using React 18 with TypeScript, Vite, and Tailwind CSS.
- Dynamic dashboards with charts, tables, and visualizations for flaky test trends.
- Drill down into individual tests with logs, details, and root cause insights.
- Powerful search and filtering system for test results.
- Fully responsive, accessible, and optimized for modern development workflows.
3. Extensible Plugins
- Pytest plugin for Python projects
- Jest plugin for JavaScript/TypeScript projects
- JUnit plugin for Java projects
- Plugins automatically send test execution data to the backend for analysis.
4. CI/CD Integration
- GitHub Actions workflow for automated testing, building, and deployment.
- Full test coverage checks before deploying to staging or production.
- Automatic monitoring and alerts on runtime errors.
Why FlakyHunter?
- Saves developers countless hours debugging non-deterministic test failures.
- Improves confidence in CI/CD pipelines.
- Supports multiple programming languages and frameworks.
- Provides actionable insights instead of just raw data.
How It Works
- Your project runs tests using a supported framework.
- Plugins capture the test results and send them to the FlakyHunter backend.
- The backend stores the data, runs ML models to predict flakiness, and performs root cause analysis.
- Developers access a powerful frontend dashboard to review results, trends, and suggested fixes.
- Continuous integration ensures your test suite is constantly monitored and optimized.
Getting Started
Check out the project on GitHub: FlakyHunter Repository
Clone the repo, set up the backend and frontend, and start monitoring your flaky tests today. Whether you’re a small team or a large enterprise, FlakyHunter will help you take control of your test suite.
Flaky tests don’t have to be a mystery anymore. With FlakyHunter, you can identify, analyze, and resolve flaky tests efficiently — saving time, reducing frustration, and increasing confidence in your software quality.
Feel free to contribute to this project and leave a star on GitHub.
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