Oikonomika: A Python Library for Economic Analysis

• Documentation: https://oikonomika.entelecheia.ai
• GitHub: https://github.com/entelecheia/oikonomika
• PyPI: https://pypi.org/project/oikonomika

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:

pip install oikonomika

Getting Started

To begin working with Oikonomika, visit the official documentation and the GitHub repository 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.