{"categories":[{"label":"Information Analysis","url":"https://skillfed.io/packages/category/scientific-engineering-information-analysis/3"}],"enrichment":{"capability":"WBGAPI provides a Python interface to query World Bank data and metadata APIs, supporting multiple databases, indicators, countries, and time periods with optional pandas integration.","skillfed_tags":["world-bank-data","economic-indicators","data-api"],"use_cases":["Retrieve population, GDP, or other development indicators for countries over time for economic analysis","Build datasets combining multiple indicators across regions for research or visualization","Search World Bank metadata to discover available indicators by keyword or topic","Automate data collection from World Bank databases for dashboards or reporting pipelines","Explore World Bank data interactively in Jupyter notebooks using the `info()` functions"],"what_it_does":"WBGAPI is a Python wrapper around the World Bank's data APIs that lets you query development indicators, economic statistics, and metadata across multiple World Bank databases. It abstracts away API complexity by organizing data into logical sub-packages (series for indicators, economy for countries, time for periods, source for databases, and others) and providing consistent methods like `list()`, `get()`, `info()`, and `Series()` across each. The package queries databases individually by default, which avoids confusion when the same indicator appears in multiple databases or when databases have different dimensions or time coverage.\n\nYou can fetch data as dictionaries or pandas DataFrames, filter by keywords, combine multiple series and countries in a single request, and select specific years or most-recent values. The API is designed to feel natural in Python\u2014using generators, ranges, and sets\u2014and includes extensive docstrings with examples. Optional pandas support lets you work with the results as structured tables with multi-indexing.","worth_installing":"Yes. WBGAPI is actively maintained, has no known vulnerabilities, low install friction, and a permissive MIT license. It fills a clear need for programmatic access to World Bank data with a well-designed, pythonic API. Install it if you need to work with World Bank indicators, development data, or metadata in Python."},"id":"wbgapi","links":{"html":"https://skillfed.io/packages/wbgapi","md":"https://skillfed.io/packages/wbgapi.md","pypi":"https://pypi.org/project/wbgapi/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-02-27","license_spdx":null,"license_treatment":"permissive","name":"wbgapi","python_support":"supports_current","summary":"wbgapi provides a comprehensive interface to the World Bank's data and metadata APIs"},"popularity":{"monthly_downloads":86027,"position":13889,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"1.0.14"}