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Python AI Test Automation Deep Learning Status License CI/CD GitHub Discussions DevOps QA

πŸͺ AstraForge-io β€” AI-Powered Test Automation Framework

AstraForge-io is an AI-driven automation framework that transforms how teams design, execute, and manage tests.
It intelligently generates test plans, locates UI elements, integrates with your DevOps toolchain, and provides real-time analytics β€” all powered by adaptive machine learning models.


🀝 Stay Connected

If you'd like to stay connected with AstraFroge.io and follow updates:

  • ⭐ Star this repository to support the project
  • πŸ‘€ Watch the repo to receive update notifications
  • βž• Follow our GitHub organization for future releases
  • πŸ’¬ Join Discussions to ask questions or share feedback

We share updates, examples, and roadmap discussions here.

πŸš€ Why AstraForge-io?

Traditional automation frameworks break often and require constant maintenance. AstraForge.io brings intelligence, resilience, and automation together.

  • 🧠 AI Test Generation: Create test plans automatically based on past test data and domain knowledge.
  • πŸ” Deep Scanner: Intelligent UI element detection with self-healing locators (CSS/XPath/Accessibility).
  • πŸ”„ Modular Integrations: Plug in your favorite test executor β€” Cypress, Selenium, or Playwright.
  • πŸ“Š Advanced Analytics: Real-time dashboards, ML-based flakiness detection, and predictive insights.
  • 🧩 Knowledge Feedback Loop: Learns from execution results to improve future tests automatically.
  • πŸ” Built-in Security & Performance Checks: OWASP compliance, APM metrics, and trend reports.

βš™οΈ Key Components

Component Description
AI Core Engine Learns from your test history and domain behavior to auto-generate optimized test assets.
Deep Scanner Identifies and heals UI element locators dynamically during test execution.
Executor Layer Connects to frameworks like Cypress, Selenium, or Playwright for seamless automation.
Reporting Hub Provides live execution data, performance metrics, and analytics visualization.
Feedback System Continuously improves test generation using ML pattern recognition.

🧩 Integration Example

AstraForge-io integrates easily with your test ecosystem using a YAML configuration.

# astraforge_config.yaml

project_name: "AstraForge Sample Demo"
test_executor: "cypress_executor"
test_manager: "xray"
ci_cd_tool: "github_actions"

features:
  ai_test_generation: true
  deep_ui_scanner: true
  self_healing_locators: true
  visual_testing: true
  performance_monitoring: true

security:
  owasp_compliance: true
  dependency_scan: true
  secrets_scanning: true