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pydata/pandas-datareader

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

★ 3.3kDaily star increases over 14 days. Hollow bars mean no data. The last day may be partial.2026-09-03 no data2026-09-04 no data2026-09-05 no data2026-09-06 +62026-09-07 no data2026-09-08 no data2026-09-09 no data2026-09-10 no data2026-09-11 no data2026-09-12 no data2026-09-13 no data2026-09-14 no data2026-09-15 no data2026-09-16 no datalargest one-day increase in the 14 days+6last 14 days · stars per dayhollow = no data

RANKS API #4

AT A GLANCE

LANGUAGE
Python
LICENSE
Licence unconfirmed
USAGE
Unconfirmed — check before use.
ACTIVITY
last commit 57 days ago ()
TOPICS
  • data
  • data-analysis
  • dataset
  • econdb
  • economic-data
  • fama-french
  • finance
  • financial-data
  • fred
  • html
  • pandas
  • pydata
HOMEPAGE
https://pydata.github.io/pandas-datareader/stable/index.html
REPOSITORY
GitHub ↗
CATEGORY
API

A summary, not legal advice.

README EXCERPT

pandas-datareader Macroeconomic and factor-oriented remote data access for pandas. Installation Install using pip Usage The public API is focused on macroeconomic, policy, and factor-style data sources such as FRED, Fama/French, Bank of Canada, World Bank, OECD, Eurostat, and the new pandas datareader.macro interface. Documentation Stable documentation is available on github.io. A second copy of the stable documentation is hosted on read the docs for more details. Development documentation is available for the latest changes in master. Requirements Using pandas datareader requires the following packages: - pandas =1.5.3 - lxml - requests =2.19.0 - distutils (not included in standard library of Python 3.12 and above it, which can be solved by installing setuptools ) Building the documentation additionally requires: - matplotlib - ipython - requests cache - sphinx - pydata sphinx theme Development and testing additionally requires: - black - coverage - codecov - coveralls - flake8 - pytest - pytest-cov - wrapt Install latest development version or

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TIMELINE

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