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v1.0.0 release

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@NotHarshhaa NotHarshhaa released this 17 Jan 06:28
· 49 commits to master since this release
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🎉 Launch Features

🔧 Multi-Framework Support

  • Scikit-learn: Complete ML pipeline templates
  • PyTorch: Deep learning project structures
  • TensorFlow: Enterprise-ready ML templates

📊 Task Type Coverage

  • Classification: Binary and multi-class classification projects
  • Regression: Predictive modeling templates
  • Time-Series: Sequential data analysis projects
  • NLP: Natural language processing templates
  • Computer Vision: Image processing projects

🔬 Experiment Tracking Integration

  • MLflow: Local and server-based experiment tracking
  • Weights & Biases: Cloud-based experiment tracking
  • Custom: Flexible tracking solutions

🔄 Orchestration Support

  • Apache Airflow: Advanced pipeline orchestration
  • Kubeflow: Enterprise ML pipeline management
  • None: Simple workflow options

🚀 Deployment Options

  • FastAPI: Quick API deployment
  • Docker: Container-based deployment
  • Kubernetes: Production-scale deployment

📈 Monitoring Solutions

  • Evidently AI: Automated model monitoring
  • Custom: Manual monitoring implementations
  • Basic: Essential monitoring setup

🎨 Rich CLI Interface

  • Interactive prompts: User-friendly configuration wizard
  • System checks: Automatic requirement verification
  • Progress indicators: Real-time generation feedback
  • Success panels: Beautiful completion notifications
  • Error handling: Graceful failure management

🏗️ Project Structure Generation

  • Standardized layouts: Industry-best directory structures
  • Configuration files: Pre-configured settings and environments
  • Documentation: Auto-generated README and setup guides
  • Testing setup: Complete test framework integration
  • CI/CD ready: GitHub Actions workflows included

📦 Package Features

  • Zero dependencies: Minimal installation requirements
  • Cross-platform: Windows, macOS, Linux support
  • Python 3.8+: Broad compatibility range
  • PyPI published: Easy installation via pip

🧪 Quality Assurance

  • 39 comprehensive tests: Full test coverage
  • Code quality: Black, isort, flake8 compliance
  • Type hints: Complete type annotation coverage
  • Documentation: Extensive inline documentation