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workadays

Calendário de dias úteis, dias corridos e dias 360 (30/360).

With conditionsPyPI UtilitiesReleased Dec 2023319.6K downloads / moMIT LicensePure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — workadays-2023.12.30-py3-none-any.whl
v2023.12.30 · released 2023-12-30 · 2 runtime deps: python-dateutil, six

Yes, if you need working-day calculations for Brazil or the other supported countries and can accept a dormant package. The low install friction and permissive license make it a practical choice for financial calculations or business logic. However, verify that holiday calendars remain accurate for your use year, and monitor whether the package receives updates for future Python versions—no maintenance activity has been recorded since release.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Low install friction with only two runtime dependencies (python-dateutil and six).
  • Package is dormant since its 2023-12-30 release—no commits or updates tracked since then, which may affect reliability for future Python versions or holiday calendar changes.

License · maintenance · safety

MIT License (permissive) — Licensed under MIT License with permissive treatment, allowing free use, modification, and distribution with minimal restrictions.

last release 2023-12-30 (958 days)

0 known vulnerabilities (OSV.dev, 2026-08-14) · 319,618 downloads/mo, #7,643 on PyPI

Verify before relying

import datetime as dt
from workadays import workdays as wd

d1 = dt.date(2018, 1, 7)
d2 = dt.date(2020, 12, 31)
print(wd.networkdays(d1, d2))  # working days between dates
  • Whether holiday calendars are kept current for future years beyond 2023
  • Python version compatibility range (requires_python field is empty in metadata)
  • Whether Juneteenth and November 20 (Consciência Negra) are correctly applied in all scenarios
Same gist for agents: .md · .json

What it is and what it does

Workadays is a date-calculation library that computes working days, calendar days, and financial 360-day intervals between two dates. It includes built-in holiday calendars for Brazil (including state-level holidays), United States, Luxembourg, United Kingdom, and Argentina, accounting for weekends and holidays in its calculations.

The package provides functions to count working days between dates (networkdays), add a number of working days to a start date (workdays), calculate calendar days or 360-day basis intervals (days and days360 with American or European methods), and check whether a specific date is a holiday, weekend, or working day. It depends on python-dateutil and six for date handling and Python 2/3 compatibility.

Use it for

  • Calculate business day deadlines in financial contracts or loan agreements using 30/360 day-count conventions
  • Determine working-day delivery dates in e-commerce or logistics systems accounting for regional holidays
  • Compute accrued interest or bond pricing using American or European 360-day basis methods
  • Validate whether a date is a working day in payroll or HR systems for Brazil or other supported countries
  • Generate holiday calendars for specific countries and years for scheduling or calendar applications

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

With conditions

Yes, if you need working-day calculations for Brazil or the other supported countries and can accept a dormant package.

The low install friction and permissive license make it a practical choice for financial calculations or business logic. However, verify that holiday calendars remain accurate for your use year, and monitor whether the package receives updates for future Python versions—no maintenance activity has been recorded since release.

Install

workadays on PyPI

Before you install

Low install friction with only two runtime dependencies (python-dateutil and six). Package is dormant since its 2023-12-30 release—no commits or updates tracked since then, which may affect reliability for future Python versions or holiday calendar changes.

License in practice

Licensed under MIT License with permissive treatment, allowing free use, modification, and distribution with minimal restrictions.

Quickstart

import datetime as dt
from workadays import workdays as wd

d1 = dt.date(2018, 1, 7)
d2 = dt.date(2020, 12, 31)
print(wd.networkdays(d1, d2))  # working days between dates

Verify before relying

  • Whether holiday calendars are kept current for future years beyond 2023
  • Python version compatibility range (requires_python field is empty in metadata)
  • Whether Juneteenth and November 20 (Consciência Negra) are correctly applied in all scenarios

Package facts

LicenseMIT License permissive
Python supportNot specified
Install frictionLow. Pure-Python wheel
Runtime dependencies
2 packages
python-dateutilsix
MaintenanceDormant 958 days since the last release
First released
Downloads319,618 / month, #7,643 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
Development Status :: 5 - Production/StableIntended Audience :: DevelopersLicense :: FreewareNatural Language :: Portuguese (Brazilian)Operating System :: OS IndependentProgramming Language :: PythonTopic :: Utilities

Evidence: workadays-2023.12.30-py3-none-any.whl

Tags

Capabilities
working days calculatorbusiness days between datesholiday calendar Brazildays360 financial calculationnetworkdays workdaysweekday counterholiday checker
Topics
date-calculationholiday-calendarfinancial-math
PyPI keywords
workdays workadays feriados holidays diasuteis uteisdias360days360days

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See also workalendar · convertdate · semantic-link-functions-holidays · holidays · epiweeks · jpholiday · validate-docbr · pandas_market_calendars · business-duration · cftime