imf

Give your AI agent accurate economic data. 330K indicators from FRED, World Bank, IMF, Eurostat & more. MCP server + web UI.

The python module can be used to scrape data and process data from different sources. The python module can output data as either as a dataframe in the country year format or it will output data in excel files This module has primarily been created for processing data for the International Futures (IFs) Project however, it can be used to process…

An API Client for retrieving and processing IMF Direction of Trade Statistics data. https://imfpy.readthedocs.io/en/latest/

scripts developed for statistical hydrology - IMF - UNMSM.

A library for parsing SMPTE Interoperable Media Format (IMF) packages

Unified MCP server for Australian public data: ABS, RBA, DCCEEW energy, OECD, World Bank, IMF and UN Comtrade retrieval for AI agents.

High-performance Python client for IMF SDMX 3.0 exchange-rate data (USD, EUR, SDR) for financial modeling and development finance systems.

IMF World Economic Outlook (WEO) Data Analysis using Python, EDA, Data Visualization, and Power BI.

Unified MCP access to the world's official socio-economic data (Eurostat, World Bank, OECD, IMF, FRED, ECB, ILO, UN, WHO, OWID, ARDECO + DBnomics/SDMX) — one interface, full provenance, no invented values.

This Python script allows users to download specific files from the IMF World Economic Outlook (WEO) database page for October 2024. It fetches the HTML from the IMF "Download Entire Database" page, locates the exact file links using CSS selectors, and provides a simple command-line interface to download files one at a time.

This repository holds the code for four different dashboards which combine macroeconomic indicators retrieved from different international organizations (e.g., World Bank, ILO, IMF). A series of chosen indicators for the field "employment", "production", "income" and "trade" are retrieved through the organizations' API and visualized on streamlit.

Minimum working script for scrapping IMF's suggested links in search result.

IMF LIC-DSA sovereign debt sustainability framework — 6 EM sovereigns, Monte Carlo distress probability, IMF/World Bank/FRED API ingestion, cross-country risk scorecard.

Interactive Streamlit application for analyzing sovereign debt structures and fiscal risk indicators using IMF datasets.

Dashboard interactivo de Ecuador: compara datos macroeconómicos observados (2014–2025) con siete ediciones de pronósticos del FMI (2019–Abr. 2026). Fuentes verificables, tabla auditable y descargas CSV/PNG.