{"categories":[{"label":"Point-Of-Sale","url":"https://skillfed.io/packages/category/office-business-financial-point-of-sale"}],"enrichment":{"capability":"Provides Python access to over 300,000 economic indicators, exchange rates, stock indexes, bond yields, and commodity prices from Trading Economics' databases, with support for XML, CSV, and JSON export.","skillfed_tags":["financial-data","api-client","economic-indicators"],"use_cases":["Build a financial dashboard that displays live economic indicators and commodity prices for multiple countries.","Backtest trading strategies using historical exchange rates and stock index data exported to pandas DataFrames.","Feed economic calendar events into a custom alerting system to trigger notifications on key releases.","Export bond yields and interest rates to CSV for econometric modeling or spreadsheet analysis.","Populate a research database with historical commodity prices and market indexes for quantitative analysis."],"what_it_does":"tradingeconomics is a Python client library for the Trading Economics API, a financial data service offering access to a large catalog of economic indicators, market data, and commodity prices. It wraps HTTP requests to Trading Economics' backend, handling authentication and response parsing so you can query indicators by country, fetch market data by symbol, retrieve calendar events, and pull financial statements\u2014all with optional output formatting to pandas DataFrames, CSV, or JSON.\n\nThe package is designed for developers building financial dashboards, research tools, or data pipelines that need reliable access to macroeconomic and market data. It depends on pandas for data manipulation and websocket-client for underlying connectivity, and runs on modern Python versions from 3.8 onward. Authentication is required upfront via an API key, and the library provides convenience methods for common queries rather than a raw HTTP interface.","worth_installing":"Yes. The package is actively maintained, has low install friction, carries no known vulnerabilities, and offers permissive MIT licensing. Install it if you need programmatic access to Trading Economics' economic and market data; the main prerequisite is obtaining an API key from Trading Economics."},"id":"tradingeconomics","links":{"html":"https://skillfed.io/packages/tradingeconomics","md":"https://skillfed.io/packages/tradingeconomics.md","pypi":"https://pypi.org/project/tradingeconomics/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-07-08","license_spdx":null,"license_treatment":"permissive","name":"tradingeconomics","python_support":"supports_current","summary":"Trading Economics API"},"popularity":{"monthly_downloads":129755,"position":11659,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"4.5.11"}