Show HN: I built a Python library for central bank economic announcement data (github.com)

A new Python library, FXMacroData, has been launched to streamline access to macroeconomic indicators and foreign exchange (forex) price history. This SDK offers both synchronous and asynchronous clients, making it easy for developers to fetch essential economic data, such as policy rates, inflation, GDP, and unemployment rates. Notably, it provides free access to USD-based data without requiring an API key, while non-USD requests do require a key for access—significantly lowering the barrier to entry for economic data analysis. The significance of FXMacroData lies in its potential to empower researchers, economists, and developers in the AI/ML community with efficient tools to analyze real-time financial data. By facilitating the retrieval of economic indicators and forex rates, users can integrate accurate economic inputs into their machine learning models, potentially improving financial forecasting and decision-making. The lightweight library, which only depends on the popular requests and aiohttp packages, is easily installable via PyPI or GitHub, making it accessible for a broad audience interested in leveraging macroeconomic data in their applications.