{"categories":[{"label":"Software Development","url":"https://skillfed.io/packages/category/software-development/4"}],"enrichment":{"capability":"Provides market and exchange trading calendars for pandas, including holiday, early close, and break schedules for over 50 global equity and futures markets.","skillfed_tags":["trading-finance","time-series","market-data"],"use_cases":["Backtest trading strategies by generating datetime sequences aligned only to market hours for a specific exchange","Align time series data to market open/close times when building multi-asset portfolios across different exchanges","Identify market holidays and early closes programmatically to avoid scheduling trades or data pulls on non-trading days","Handle intraday breaks in Asian and futures markets when calculating trading durations or generating periodic resampling","Build global trading calendars by combining schedules from multiple exchanges to coordinate cross-market strategies"],"what_it_does":"pandas_market_calendars fills a gap in pandas by providing pre-built holiday, trading hours, and market break calendars for specific exchanges and OTC markets. Rather than fetching live data at runtime, calendars are shipped as package code and updated via new releases. The package wraps exchange-calendars to mirror its calendar definitions and adds utility functions to work with market schedules\u2014most notably a date_range function that generates pandas DatetimeIndex objects containing only times when markets are open, accounting for holidays, early closes, and intraday breaks (such as lunch breaks in Asian markets or processing breaks in 24-hour futures markets).\n\nTypical usage involves loading a calendar by exchange name (e.g., NYSE), querying its schedule for a date range to see market_open and market_close times, and then generating aligned datetime sequences for backtesting, data alignment, or trading logic. The package is designed for quantitative finance workflows where precise market hours and holiday handling are essential.","worth_installing":"Yes. The package is actively maintained, has no known vulnerabilities, low install friction, and solves a concrete problem for quantitative finance workflows. It is production-stable (Development Status 5), widely used (top 5000 PyPI), and permissively licensed. Install it if you need to work with market hours, holidays, or trading schedules in pandas."},"id":"pandas-market-calendars","links":{"html":"https://skillfed.io/packages/pandas-market-calendars","md":"https://skillfed.io/packages/pandas-market-calendars.md","pypi":"https://pypi.org/project/pandas-market-calendars/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-05-27","license_spdx":null,"license_treatment":"permissive","name":"pandas_market_calendars","python_support":"supports_current","summary":"Market and exchange trading calendars for pandas"},"popularity":{"monthly_downloads":2099085,"position":3297,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"5.4.0"}