# Oikonomika: A Python Library for Economic Analysis

[![pypi-image]][pypi-url]
[![license-image]][license-url]
[![version-image]][release-url]
[![release-date-image]][release-url]
[![jupyter-book-image]][docs-url]

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[repo-url]: https://github.com/entelecheia/oikonomika
[pypi-url]: https://pypi.org/project/oikonomika
[docs-url]: https://oikonomika.entelecheia.ai
[changelog]: https://github.com/entelecheia/oikonomika/blob/main/CHANGELOG.md
[contributing guidelines]: https://github.com/entelecheia/oikonomika/blob/main/CONTRIBUTING.md

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A Python Library for Economic Analysis

- Documentation: [https://oikonomika.entelecheia.ai][docs-url]
- GitHub: [https://github.com/entelecheia/oikonomika][repo-url]
- PyPI: [https://pypi.org/project/oikonomika][pypi-url]

Oikonomika is a powerful and versatile Python library designed for economic analysis, facilitating data-driven decision-making in the fields of economics, finance, and policy-making. The name Oikonomika is derived from the Greek word Οικονομικά, signifying the library's commitment to providing robust tools for studying and understanding economic phenomena.

## Features

Oikonomika offers a comprehensive set of features, making it suitable for both newcomers and experienced professionals in the field of economics:

- **User-friendly API**: Oikonomika provides an intuitive API that allows users to easily access, manipulate, and analyze economic data with minimal lines of code.
- **Wide range of economic models**: The library supports various economic models, including macroeconomic, microeconomic, and econometric models, catering to diverse requirements and use cases.
- **Data integration**: Oikonomika is designed for seamless integration with popular data sources, such as FRED, World Bank, IMF, and Eurostat, enabling users to access and analyze up-to-date economic data effortlessly.
- **Customizability**: Users can create custom models, modify existing ones, and control various aspects of data preprocessing, estimation, and forecasting, ensuring tailored solutions for their specific needs.
- **Efficient computation**: Oikonomika leverages advanced algorithms and parallel processing techniques to ensure high-performance calculations, even on large-scale datasets.
- **Visualization tools**: The library includes a variety of visualization tools to help users explore and interpret the results of their economic analyses, such as time series plots, bar charts, and heat maps.
- **Interoperability**: Oikonomika is compatible with popular Python data analysis libraries, such as pandas, NumPy, and SciPy, allowing for seamless integration with existing data processing workflows and applications.

## Installation

You can install Oikonomika using pip:

```bash
pip install oikonomika
```

## Getting Started

To begin working with Oikonomika, visit the [official documentation][docs-url] and the [GitHub repository][repo-url] for examples, tutorials, and additional information.

## Changelog

See the [CHANGELOG] for more information.

## Contributing

Contributions are welcome! Please see the [contributing guidelines] for more information.

## License

This project is released under the [MIT License][license-url].
