EODHD vs yfinance
Compare a contracted subscription market-data API with a free open-source Python library over Yahoo Finance interfaces.
Integration shape
EODHD is a hosted REST/WebSocket API: resource paths such as /api/eod/{ticker}, an api_token query parameter, and a free tier of 20 calls per day before paid dataset plans. yfinance is a Python package, not a hosted API — yf.download("AAPL", period="1mo") returns pandas DataFrames with no key, no quota contract, and no SLA.
| Decision axis | EODHD | yfinance |
|---|---|---|
| Shape | Hosted API (REST + WebSocket) | Python library |
| Auth | api_token query parameter | None |
| Free allowance | 20 calls/day; one-year EOD window | Free software; upstream throttling is informal |
| Pricing | Free trial, then paid dataset plans | Free Apache-2.0; Yahoo data rights are separate |
| Corporate actions | Splits and dividends as first-class datasets | Available, but through unofficial interfaces |
| Accountability | Vendor contract and support | None; not affiliated with or vetted by Yahoo |
Where EODHD wins
A contracted feed with documented entitlements: global end-of-day history, fundamentals, splits and dividends, intraday data, and news from one vendor. When a product needs predictable data rights and someone to call when the feed breaks, a subscription beats a scraper.
Where yfinance wins
Zero setup for research: one pip install and a notebook has ticker history, financials, options, and screeners as DataFrames. For personal analysis and prototypes, nothing is faster.
Do not ship the prototype’s data layer
yfinance’s own documentation frames Yahoo data as personal and research use, and upstream changes can break the library without notice. Validate any commercial use against the underlying terms, and plan the migration to a contracted feed — with adjusted-versus-raw price semantics nailed down — before the product depends on the data.