# pydata/pandas-datareader

Extract data from a wide range of Internet sources into a pandas DataFrame.

Repository: https://github.com/pydata/pandas-datareader
Canonical: https://ross.abutalabs.com/products/pandas-datareader
Homepage: https://pydata.github.io/pandas-datareader/stable/index.html
Language: Python
License: NOASSERTION
License Family: other
Topics: html, data-analysis, data, dataset, stock-data, finance, financial-data, python, pydata, pandas, econdb, fama-french, economic-data, fred
Last push: 2026-07-21T08:28:05+00:00

## Health v2 (maintenance only)
Score: 93/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 93, release rhythm 90, longevity 100
- inputs: {"age_days": 4249, "days_push": 43, "days_rel": 70, "gap_med": 0, "n_releases_24m": 2}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3238, forks 691 (observed 2026-08-28T04:07:50.425816+00:00)

## What it is
A Python library that extracts data from remote internet sources such as FRED, Fama/French, World Bank, OECD, and Eurostat directly into pandas DataFrames. Formerly part of pandas, it focuses on macroeconomic, policy, and factor-style data access.

## Use cases
- download FRED economic time series into a pandas DataFrame
- fetch Fama-French factor data for backtesting
- pull World Bank or OECD indicators for analysis
- load historical stock and financial data in Python
- cache remote data queries for reproducible research
- import macroeconomic data for econometric modeling

## When to choose
- you work in pandas and need remote economic or financial data as DataFrames
- you want a maintained successor to pandas' built-in remote data readers
- you need access to FRED, World Bank, OECD, or Eurostat datasets

## When to avoid
- you need real-time market data or broker API access
- your data source is not among the supported readers
- you need a general-purpose web scraping tool

## Facets
- artifact type: library
- maturity: active
- function: etl, data-science, web-scraping
- domain: data-science, analytics
- platform: python
- tags: pandas, financial-data, economic-data, fred, fama-french, remote-data-access, time-series, finance, data-engineering

## Member repositories
- pydata/pandas-datareader (main) score 93

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:50.425816+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T07:24:33.476515+00:00, confidence not recorded.
  - readme: https://github.com/pydata/pandas-datareader (fetched 2026-08-28T04:07:50.425816+00:00, sha 57f2e4b641de)
  - homepage: https://pydata.github.io/pandas-datareader/stable/index.html (fetched 2026-08-29T09:37:24.858817+00:00, sha 0db9f46b40f9)
  - registry_pypi: https://pypi.org/pypi/pandas-datareader/json (fetched 2026-08-29T09:37:24.867529+00:00, sha 009c2f184e74)
- Data as of 2026-08-30T08:39:29.467469+00:00.