Metadata-Version: 2.4
Name: loominar
Version: 0.2.0
Summary: Loominar — a Python-based open-source utility for exporting SonarQube analysis and quality metrics into professional Word, Excel, and CSV reports.
Author-email: Mohamed Ali <mhmd4li.dev@gmail.com>
License: MIT
Project-URL: Homepage, https://github.com/mhmd4li/Loominar
Project-URL: Documentation, https://github.com/mhmd4li/Loominar#readme
Project-URL: Repository, https://github.com/mhmd4li/Loominar
Project-URL: Issues, https://github.com/mhmd4li/Loominar/issues
Keywords: sonarqube,report,code-quality,excel,word,csv,automation,devops,Loominar
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Quality Assurance
Classifier: Topic :: Utilities
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Requires-Python: >=3.9
Description-Content-Type: text/markdown
License-File: LICENSE.txt
Requires-Dist: requests>=2.31.0
Requires-Dist: pandas>=2.1.1
Requires-Dist: matplotlib>=3.8.0
Requires-Dist: xlsxwriter>=3.1.2
Requires-Dist: python-docx>=1.1.0
Requires-Dist: openpyxl>=3.1.2
Provides-Extra: dev
Requires-Dist: pytest>=7.4.2; extra == "dev"
Requires-Dist: black>=23.9.1; extra == "dev"
Requires-Dist: tqdm>=4.66.1; extra == "dev"
Requires-Dist: colorama>=0.4.6; extra == "dev"
Dynamic: license-file

# 🧶 Loominar

**Loominar** weaves together static code analysis metrics into exportable, human-readable reports.  
Generate clean **PDF, Word, or Excel** documents from **SonarQube** results — ideal for audits, compliance reviews, or management reporting.

### ✨ Features
- Export **SonarQube project metrics** to PDF, DOCX, or XLSX
- Customizable report templates
- Supports **multiple projects & branches**
- Built with **Python 3**, powered by **requests**, **fpdf**, and **pandas**
- CLI support for automation in DevOps pipelines

### 🧰 Stack
- **Language:** Python 3  
- **Libraries:** FPDF / python-docx / pandas / openpyxl  
- **DevOps:** Azure Pipelines, Docker, SonarQube API integration  

### 🚀 Quick Start
```bash
pip install loominar
loominar

### 🧾 License

This project is licensed under the **MIT License** — see the [LICENSE](./LICENSE) file for details.


