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$ show ranaroussi/yfinance

[account ↗] [repo ↗] APPLICATION ★ 25432 3434 ● active (last update 1 week ago)
reviewed by: deepseek/deepseek-v4-flash

yfinance is a mature Python library that provides programmatic access to Yahoo Finance market data. It is primarily an application/library, not a data research project, though it includes data repair and cleaning utilities. The library exposes a high-level API (Ticker, download, Search, Lookup, Market, Screener) that fetches historical prices, fundamentals, financial statements, holders, analysis, and more from Yahoo's various JSON endpoints. It handles Yahoo's quirks (cookie/crumb authentication, timezone issues, data errors) and includes a sophisticated price repair pipeline that detects and corrects common data anomalies like 100x unit mixups, bad stock splits, zero values, and dividend double-counting. The architecture is monolithic with modular scrapers and utilities. It has extensive test coverage (though currently failing in CI), active maintenance, and a large user base (25k+ stars). The codebase is well-structured with reusable utility functions, but some legacy artifacts (Travis CI, disabled pytest workflow) and heavy reliance on heuristic repair logic introduce medium technical drift.

RATING8.5/10
QUALITY7.8/10
MAINTENANCEactive
DRIFTmedium
CONTRIBUTORS186
VELOCITY0.95
OPEN ISSUES107
CLOSED ISSUES1669
LAST COMMIT1 week ago
beautifulsoup4 (pip) >=4.11.1
curl_cffi (pip) >=0.15
lxml (pip) >=4.9.0
multitasking (pip) >=0.0.7
numpy (pip) >=1.16.5
pandas (pip) >=1.3.0
peewee (pip) >=3.16.2
platformdirs (pip) >=2.0.0
protobuf (pip) >=3.19.0
pytz (pip) >=2022.5
requests (pip) >=2.31
websockets (pip) >=13.0
Files by Type (count)
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83
Python
69
reStructuredText
30
YAML
11
Other (.png)
7
Other (.webp)
6
Markdown
3
Text
2
TOML
2
Other (.disabled)
1
Git Ignore
1
Makefile
1
Files by Type (size)
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5MB
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754KB
Other (.png)
176KB
reStructuredText
59KB
Other (.webp)
20KB
YAML
13KB
Text
12KB
Markdown
6KB
TOML
3KB
Other (.disabled)
1KB
Protocol Buffers
939B
Other (.bat)
804B

The LLM identified 3 files worth highlighting for reuse:

Contains several self-contained utility functions reusable across projects: `camel2title` converts camelCase to Title Case with acronym support; `_interval_to_timedelta` converts interval strings (e.g., '1mo', '1wk') to timedelta/relativedelta; `safe_merge_dfs` merges event DataFrames into price data with out-of-range handling; `IndentationContext` and `log_indent_decorator` provide indented debug logging; `dynamic_docstring` and `generate_list_table_from_dict` auto-generate Sphinx documentation from dicts. These functions have minimal internal dependencies and can be extracted into new projects with little modification.

file: yfinance/utils.py ↗ | tags: #utility-functions #string-conversion #time-interval #logging-context

The `HistoryMetadata` class implements a lazy dictionary pattern over Yahoo Finance metadata. It defers loading of `tradingPeriods` until first access, caching the result. This pattern is reusable for any API response where some fields are expensive to fetch. The class is self-contained and can be extracted as a generic lazy dict wrapper.

file: yfinance/scrapers/history.py ↗ | tags: #lazy-loading #data-caching #metadata-wrapper

Provides a `frozendict` fallback implementation (hashable, read-only dict) for use as `lru_cache` keys. This is a common need in Python caching and is implemented cleanly without external dependencies. It can be reused in any project requiring immutable dicts for caching or hashing.

file: yfinance/utils.py ↗ | tags: #hashable-dict #frozendict
Last analyzed: 2026-10-05 14:09:16.339028
Next check: 2026-10-12 14:09:16.305815
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