Metadata-Version: 2.4
Name: analystx
Version: 0.1.1
Summary: 📊 Advanced analytics and KPI engine for data-driven insights and intelligent business intelligence
Author-email: Shariful Islam <srnoyon780@gmail.com>
Maintainer-email: Shariful Islam <srnoyon780@gmail.com>
License: MIT
Project-URL: Homepage, https://github.com/sinoyon/analystx
Project-URL: Documentation, https://analystx.readthedocs.io
Project-URL: Repository, https://github.com/sinoyon/analystx
Project-URL: Bug Tracker, https://github.com/sinoyon/analystx/issues
Project-URL: Changelog, https://github.com/sinoyon/analystx/releases
Keywords: analytics,kpi,insights,profiling,reporting,business-intelligence,data-science,python
Classifier: Development Status :: 3 - Alpha
Classifier: Environment :: Console
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Information Technology
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Office/Business
Classifier: Topic :: Scientific/Engineering
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: pandas>=1.5.0
Requires-Dist: numpy>=1.24.0
Provides-Extra: dev
Requires-Dist: pytest>=7.0; extra == "dev"
Requires-Dist: pytest-cov>=4.0; extra == "dev"
Requires-Dist: black>=23.0; extra == "dev"
Requires-Dist: flake8>=6.0; extra == "dev"
Requires-Dist: isort>=5.12; extra == "dev"
Requires-Dist: mypy>=1.0; extra == "dev"
Provides-Extra: docs
Requires-Dist: sphinx>=5.0; extra == "docs"
Requires-Dist: sphinx-rtd-theme>=1.0; extra == "docs"
Dynamic: license-file

# 📊 AnalystX

> Advanced analytics and KPI engine for intelligent business intelligence and data-driven decision making.

[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
[![Python 3.8+](https://img.shields.io/badge/Python-3.8%2B-blue.svg)](https://www.python.org/downloads/)
[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
[![Maintained](https://img.shields.io/badge/Maintained%3F-yes-green.svg)](https://github.com/sinoyon/analystx/graphs/commit-activity)

---

## 📌 Overview

**AnalystX** is a comprehensive Python library designed to streamline data analytics workflows. It provides out-of-the-box capabilities for data profiling, KPI calculation, intelligent insight generation, and professional report creation. Perfect for data scientists, business analysts, and developers seeking to enable data-driven decision making.

### Why AnalystX?
- 🚀 **Fast**: Optimized for performance on large datasets
- 🧠 **Smart**: Automatically detects patterns and anomalies
- 📦 **Complete**: All-in-one analytics solution
- 🔧 **Flexible**: Highly extensible and customizable
- 📊 **Professional**: Create publication-ready reports

---

## ✨ Features

| Feature | Description |
|---------|-------------|
| 📈 **Data Profiling** | Automatic data quality checks, statistical analysis, and distribution analysis |
| 🎯 **KPI Engine** | Flexible and extensible key performance indicator calculation with custom metrics |
| 💡 **Insight Engine** | Generate actionable, business-ready insights from your data |
| 📄 **Report Generation** | Create professional, formatted analytics reports automatically |
| 🖥️ **CLI Interface** | Command-line tools for easy integration and automation |
| 🔌 **Extensible API** | Build custom analyzers and metrics on our robust framework |

---

## 🚀 Installation

### Via PyPI (Recommended)

```bash
pip install analystx
```

### From Source (Development)

```bash
# Clone the repository
git clone https://github.com/sinoyon/analystx.git
cd analystx

# Install in editable mode with development dependencies
pip install -e ".[dev]"

# Run tests
pytest
```

### Optional Dependencies

For documentation building:
```bash
pip install analystx[docs]
```

For full development setup:
```bash
pip install analystx[dev,docs]
```

---

## 🎯 Quick Start

### Basic Usage

```python
import pandas as pd
from analystx import AnalystX

# Load your data
df = pd.read_csv('data.csv')

# Initialize AnalystX
analyzer = AnalystX(data=df)

# Run data profiling
profile = analyzer.profile()
print(profile.summary())

# Calculate KPIs
kpis = analyzer.calculate_kpis()
print(kpis)

# Generate insights
insights = analyzer.generate_insights()
for insight in insights:
    print(insight)

# Create a professional report
report = analyzer.create_report(output_format='html')
report.save('analytics_report.html')
```

### Advanced Example

```python
from analystx import AnalystX
from analystx.kpi_engine import KPIConfig

# Configure custom KPIs
kpi_config = KPIConfig()
kpi_config.add_metric('revenue_growth', formula='(current - previous) / previous * 100')
kpi_config.add_metric('customer_retention', formula='retained_customers / total_customers')

analyzer = AnalystX(data=df, kpi_config=kpi_config)

# Export insights to multiple formats
analyzer.create_report(output_format='pdf').save('report.pdf')
analyzer.create_report(output_format='excel').save('report.xlsx')
```

---

## 📖 Command Line Interface

Access all features from the command line:

```bash
# Show help
analystx --help

# Profile a CSV file
analystx profile data.csv --output profile.json

# Generate a report
analystx report data.csv --format html --output report.html

# Calculate KPIs
analystx kpi data.csv --config kpi_config.json
```

---

## 📚 Documentation

- **[Full Documentation](https://analystx.readthedocs.io)** - Comprehensive API reference and guides
- **[User Guide](https://analystx.readthedocs.io/guide/)** - Getting started and best practices
- **[API Reference](https://analystx.readthedocs.io/api/)** - Detailed function and class documentation
- **[Examples](./examples/)** - Jupyter notebooks with real-world examples

---

## 🤝 Contributing

We welcome contributions! Please see our [Contributing Guidelines](CONTRIBUTING.md) for details.

### Development Setup

```bash
# Install development dependencies
pip install -e ".[dev]"

# Run tests
pytest -v

# Run linting and formatting
black src/
isort src/
flake8 src/

# Type checking
mypy src/
```

---

## 📋 Roadmap

- [ ] Real-time data streaming support
- [ ] Machine learning-based anomaly detection
- [ ] Interactive dashboards
- [ ] Multi-language support
- [ ] Cloud integration (AWS, GCP, Azure)
- [ ] Advanced forecasting models

---

## 🐛 Bug Reports & Feature Requests

Found a bug or have an idea? Please open an issue on our [GitHub Issues](https://github.com/sinoyon/analystx/issues) page.

---

## 📄 License

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

---

## 👤 Author & Support

**Developed by:** Shariful Islam  
**Email:** srnoyon780@gmail.com  
**GitHub:** [@sinoyon](https://github.com/sinoyon)

### Get Help
- 📖 Check the [documentation](https://analystx.readthedocs.io)
- 💬 Open a [GitHub Discussion](https://github.com/sinoyon/analystx/discussions)
- 🐛 Report a [Bug](https://github.com/sinoyon/analystx/issues)

---

## ⭐ Show Your Support

If you find AnalystX helpful, please consider:
- Starring this repository ⭐
- Sharing it with your network
- Contributing improvements
- Providing feedback and suggestions

**Happy analyzing! 🚀**
