{"categories":[{"label":"WWW/HTTP","url":"https://skillfed.io/packages/category/internet-www-http/7"}],"enrichment":{"capability":"Downloads economic data from the International Monetary Fund's SDMX 3.0 API and returns it as tidy pandas DataFrames, with discovery functions for datasets, dimensions, and valid codes.","skillfed_tags":["economics-data","api-client","sdmx"],"use_cases":["Fetch commodity price indices (like coal prices) at annual frequency for time-series analysis.","Build a research dataset by discovering IMF dataflows, then filtering by specific indicators and time periods.","Automate regular downloads of economic indicators for a financial dashboard or reporting pipeline.","Compare economic metrics across countries by querying IMF datasets with country-level dimension filters.","Integrate IMF data into a pandas-based data processing workflow without manual API calls."],"what_it_does":"imfp is a Python client for the International Monetary Fund's SDMX 3.0 API that retrieves economic data and returns it as pandas DataFrames. It provides four core functions: discovering available datasets, inspecting their dimensions, looking up valid codes for filtering, and fetching the actual data. The package handles the API interaction, response parsing, and data structuring so you work directly with tidy tabular output.\n\nThe package is designed for economists, financial analysts, and researchers who need programmatic access to IMF economic indicators. It follows econdataverse conventions and mirrors the R package imfapi, making it familiar to users of that ecosystem. Version 2.0.0 introduced a new API with functions like imf_get_dataflows and imf_get_datastructure; the old 1.x function names still work but emit deprecation warnings.","worth_installing":"Yes. The package is actively maintained, has low install friction (two common dependencies), carries no known vulnerabilities, and solves a specific problem\u2014programmatic IMF data access\u2014with a clean API. It is suitable for anyone needing IMF economic data in Python, especially if you work with pandas. The Apache 2.0 license is permissive and poses no restrictions."},"id":"imfp","links":{"html":"https://skillfed.io/packages/imfp","md":"https://skillfed.io/packages/imfp.md","pypi":"https://pypi.org/project/imfp/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-07","license_spdx":null,"license_treatment":"permissive","name":"imfp","python_support":"supports_current","summary":"Python package for downloading economic data from the International Monetary Fund SDMX 3.0 API, following econdataverse conventions."},"popularity":{"monthly_downloads":118022,"position":12138,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"2.0.0"}