# ScriptCraft Python Package
A comprehensive Python package for data processing and quality control tools designed for research workflows, particularly in the field of Huntington's Disease research.
## 🚀 Features
- **Data Processing Tools**: Automated data cleaning, validation, and transformation
- **Quality Control**: Comprehensive validation frameworks with plugin support
- **Research Workflows**: Specialized tools for clinical and biomarker data
- **Extensible Architecture**: Plugin-based system for custom validations
- **Cross-Platform**: Works on Windows, macOS, and Linux
## 📦 Installation
```bash
pip install scriptcraft
```
## 🛠️ Quick Start
### Basic Usage
```python
import scriptcraft
import scriptcraft.common as cu
# Use common utilities
data = cu.load_data("your_data.csv")
cu.log_and_print("✅ Data loaded successfully")
```
### Using Tools
```python
from scriptcraft.tools import AutomatedLabeler, DataContentComparer
# Create and use tools
labeler = AutomatedLabeler()
comparer = DataContentComparer()
# Process your data
results = labeler.process(data)
```
### CLI Usage
```bash
# List available tools
scriptcraft
# Run specific tools
scriptcraft run automated-labeler
scriptcraft run data-comparer
```
## 🧰 Available Tools
- **AutomatedLabeler**: Automated data labeling and classification
- **DataContentComparer**: Compare datasets for consistency
- **DictionaryDrivenChecker**: Validation using predefined dictionaries
- **ReleaseConsistencyChecker**: Ensure data release consistency
- **SchemaDetector**: Automatic schema detection and validation
- **RHQFormAutofiller**: Automated form filling for research questionnaires
- **DateFormatStandardizer**: Standardize date formats across datasets
- **DictionaryCleaner**: Clean and validate dictionary files
- **DictionaryValidator**: Validate dictionary structures
- **FeatureChangeChecker**: Detect changes in data features
- **MedVisitIntegrityValidator**: Validate medical visit data integrity
- **ScoreTotalsChecker**: Validate score calculations
- **DictionaryWorkflow**: Complete dictionary processing workflows
## 🔧 Development
### Installation for Development
```bash
# Clone the repository
git clone https://github.com/yourusername/scriptcraft-python.git
cd scriptcraft-python
# Install in development mode
pip install -e .
```
### Running Tests
```bash
# Run all tests
python -m pytest
# Run specific test categories
python -m pytest tests/unit/
python -m pytest tests/integration/
```
## 📚 Documentation
For comprehensive documentation, examples, and advanced usage:
- **Main Documentation**: [ScriptCraft Workspace](https://github.com/yourusername/ScriptCraft-Workspace)
- **Tool Documentation**: See individual tool README files
- **API Reference**: Available in the main workspace documentation
## 🤝 Contributing
We welcome contributions! Please see our [Contributing Guidelines](https://github.com/yourusername/ScriptCraft-Workspace/blob/main/CONTRIBUTING.md) for details.
## 📄 License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
## 🆘 Support
- **Issues**: [GitHub Issues](https://github.com/yourusername/scriptcraft-python/issues)
- **Documentation**: [ScriptCraft Workspace](https://github.com/yourusername/ScriptCraft-Workspace)
- **Email**: scriptcraft@example.com
## 🙏 Acknowledgments
- Built for the Huntington's Disease research community
- Developed with support from research institutions
- Thanks to all contributors and users
---
**ScriptCraft Python Package** - Making research data processing easier, one tool at a time.
Raw data
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"description": "# ScriptCraft Python Package\r\n\r\nA comprehensive Python package for data processing and quality control tools designed for research workflows, particularly in the field of Huntington's Disease research.\r\n\r\n## \ud83d\ude80 Features\r\n\r\n- **Data Processing Tools**: Automated data cleaning, validation, and transformation\r\n- **Quality Control**: Comprehensive validation frameworks with plugin support\r\n- **Research Workflows**: Specialized tools for clinical and biomarker data\r\n- **Extensible Architecture**: Plugin-based system for custom validations\r\n- **Cross-Platform**: Works on Windows, macOS, and Linux\r\n\r\n## \ud83d\udce6 Installation\r\n\r\n```bash\r\npip install scriptcraft\r\n```\r\n\r\n## \ud83d\udee0\ufe0f Quick Start\r\n\r\n### Basic Usage\r\n\r\n```python\r\nimport scriptcraft\r\nimport scriptcraft.common as cu\r\n\r\n# Use common utilities\r\ndata = cu.load_data(\"your_data.csv\")\r\ncu.log_and_print(\"\u2705 Data loaded successfully\")\r\n```\r\n\r\n### Using Tools\r\n\r\n```python\r\nfrom scriptcraft.tools import AutomatedLabeler, DataContentComparer\r\n\r\n# Create and use tools\r\nlabeler = AutomatedLabeler()\r\ncomparer = DataContentComparer()\r\n\r\n# Process your data\r\nresults = labeler.process(data)\r\n```\r\n\r\n### CLI Usage\r\n\r\n```bash\r\n# List available tools\r\nscriptcraft\r\n\r\n# Run specific tools\r\nscriptcraft run automated-labeler\r\nscriptcraft run data-comparer\r\n```\r\n\r\n## \ud83e\uddf0 Available Tools\r\n\r\n- **AutomatedLabeler**: Automated data labeling and classification\r\n- **DataContentComparer**: Compare datasets for consistency\r\n- **DictionaryDrivenChecker**: Validation using predefined dictionaries\r\n- **ReleaseConsistencyChecker**: Ensure data release consistency\r\n- **SchemaDetector**: Automatic schema detection and validation\r\n- **RHQFormAutofiller**: Automated form filling for research questionnaires\r\n- **DateFormatStandardizer**: Standardize date formats across datasets\r\n- **DictionaryCleaner**: Clean and validate dictionary files\r\n- **DictionaryValidator**: Validate dictionary structures\r\n- **FeatureChangeChecker**: Detect changes in data features\r\n- **MedVisitIntegrityValidator**: Validate medical visit data integrity\r\n- **ScoreTotalsChecker**: Validate score calculations\r\n- **DictionaryWorkflow**: Complete dictionary processing workflows\r\n\r\n## \ud83d\udd27 Development\r\n\r\n### Installation for Development\r\n\r\n```bash\r\n# Clone the repository\r\ngit clone https://github.com/yourusername/scriptcraft-python.git\r\ncd scriptcraft-python\r\n\r\n# Install in development mode\r\npip install -e .\r\n```\r\n\r\n### Running Tests\r\n\r\n```bash\r\n# Run all tests\r\npython -m pytest\r\n\r\n# Run specific test categories\r\npython -m pytest tests/unit/\r\npython -m pytest tests/integration/\r\n```\r\n\r\n## \ud83d\udcda Documentation\r\n\r\nFor comprehensive documentation, examples, and advanced usage:\r\n\r\n- **Main Documentation**: [ScriptCraft Workspace](https://github.com/yourusername/ScriptCraft-Workspace)\r\n- **Tool Documentation**: See individual tool README files\r\n- **API Reference**: Available in the main workspace documentation\r\n\r\n## \ud83e\udd1d Contributing\r\n\r\nWe welcome contributions! Please see our [Contributing Guidelines](https://github.com/yourusername/ScriptCraft-Workspace/blob/main/CONTRIBUTING.md) for details.\r\n\r\n## \ud83d\udcc4 License\r\n\r\nThis project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.\r\n\r\n## \ud83c\udd98 Support\r\n\r\n- **Issues**: [GitHub Issues](https://github.com/yourusername/scriptcraft-python/issues)\r\n- **Documentation**: [ScriptCraft Workspace](https://github.com/yourusername/ScriptCraft-Workspace)\r\n- **Email**: scriptcraft@example.com\r\n\r\n## \ud83d\ude4f Acknowledgments\r\n\r\n- Built for the Huntington's Disease research community\r\n- Developed with support from research institutions\r\n- Thanks to all contributors and users\r\n\r\n---\r\n\r\n**ScriptCraft Python Package** - Making research data processing easier, one tool at a time. \r\n",
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