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tidyfinance

Market & alternative data★ 27 GitHub starsR⏱ Commits today

R helpers that download factor and macro series from public libraries

What it is

An R package of download helpers for developers and researchers who follow a published workflow for tidy financial data. One function takes a domain and, where needed, a dataset, and can pull Fama-French factors, q-factors, Welch-Goyal macro predictors, open-source asset-pricing series, global factor and industry portfolios, Pastor-Stambaugh liquidity factors, Stambaugh-Yuan mispricing factors, Damodaran industry cost-of-capital tables, FRED series, and the FRED-MD or FRED-QD macro panels. The calls return tidy tables rather than raw vendor files. Some source files stop at a fixed vintage, Damodaran workbooks need an extra Excel reader, and the helpers do not replace the book that explains how to use each series.

At a glance

Worth watchingOur rating, based on popularity, maintenance and how ready it is for real use.

Best forProfessional quants
Used forData analysis, Data source
MarketsMulti-market
StackR
Learning curveModerate learning curve
Practical valueMedium practical value
CostFree and open source
HardwareNo GPU needed
MaintenanceCommits today

GitHub stars, last 30 days

Daily snapshots since 2026-09-28 (up to 30 days): 0 over the period, now 27. Gaps mean no snapshot was taken that day.

In the author's words

Tidy Finance helper functions to download financial data and process the raw data into a structured Format (tidy data), including.

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