semantic-link-functions-holidays
Semantic link functions for holidays package. Enables enrichment of FabricDataFrame with public holidays.
Decision gist · record as of 2026-08-14
Yes, if you work with FabricDataFrame in Microsoft Fabric and need to add holiday logic to datetime columns. The low install friction, active maintenance, and permissive MIT license make it a straightforward addition. No known vulnerabilities. Install only if you're already using semantic-link-sempy; it's a specialized extension, not a general-purpose library.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later; designed for use with semantic-link-sempy.
- Active maintenance with a recent release (24 days old).
- Low install friction; depends only on holidays and semantic-link-sempy.
License · maintenance · safety
MIT License (permissive) — MIT License permits commercial and private use with minimal restrictions; you must include a copy of the license and copyright notice.
last release 2026-07-21 (24 days) · last repo commit 2026-07-16 · 16 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 473,060 downloads/mo, #6,471 on PyPI
Alternatives
Verify before relying
pip install semantic-link-functions-holidays
from sempy.fabric import FabricDataFrame
df = FabricDataFrame(
{"country": ["US", "AT"], "date": ["2023-01-06", "2023-01-06"]},
column_metadata={"country": {"data_category": "Country"}},
)
holiday_series = df.is_holiday(date_col="date", country_col="country")- Whether the package works outside Microsoft Fabric or requires Fabric-specific infrastructure.
- Performance characteristics when applied to large DataFrames.
- Full list of supported countries beyond the US and AT examples shown.
- Whether datetime conversion is required before calling is_holiday or handled automatically.
What it is and what it does
This package extends FabricDataFrame with semantic functions that intelligently expose holiday-checking capabilities. It uses the @semantic_function decorator to automatically discover functions and makes them available in autocomplete only when your data contains the columns they need—in this case, a datetime column and a country column. The is_holiday function leverages the holidays library to determine whether dates fall on public holidays for a given country.
It's built for Power BI and Fabric workflows where data enrichment with domain-specific logic improves the interactive experience. Rather than manually calling holiday functions, developers annotate their logic once and the framework handles visibility and relevance based on the actual schema and metadata of each FabricDataFrame.
Use it for
- Flag public holidays in a datetime column to exclude them from business-day calculations in Fabric reports.
- Enrich sales or transaction data with holiday indicators to segment analysis by holiday vs. non-holiday periods.
- Automatically surface holiday-checking logic in Fabric notebooks when working with date and country columns.
- Build data quality checks that validate whether expected holidays are correctly marked in a dataset.
- Create semantic layers in Power BI that expose country-specific holiday logic to end users without code.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you work with FabricDataFrame in Microsoft Fabric and need to add holiday logic to datetime columns.
The low install friction, active maintenance, and permissive MIT license make it a straightforward addition. No known vulnerabilities. Install only if you're already using semantic-link-sempy; it's a specialized extension, not a general-purpose library.
Install
semantic-link-functions-holidays on PyPI
Before you install
Active maintenance with a recent release (24 days old). Low install friction; depends only on holidays and semantic-link-sempy. Requires Python 3.10 or later.
Requires Python 3.10 or later; designed for use with semantic-link-sempy.
License in practice
MIT License permits commercial and private use with minimal restrictions; you must include a copy of the license and copyright notice.
Quickstart
pip install semantic-link-functions-holidays
from sempy.fabric import FabricDataFrame
df = FabricDataFrame(
{"country": ["US", "AT"], "date": ["2023-01-06", "2023-01-06"]},
column_metadata={"country": {"data_category": "Country"}},
)
holiday_series = df.is_holiday(date_col="date", country_col="country")Verify before relying
- Whether the package works outside Microsoft Fabric or requires Fabric-specific infrastructure.
- Performance characteristics when applied to large DataFrames.
- Full list of supported countries beyond the US and AT examples shown.
- Whether datetime conversion is required before calling is_holiday or handled automatically.
Package facts
| License | MIT License permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 2 packagesholidayssemantic-link-sempy |
| Maintenance | Actively maintained 24 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 473,060 / month, #6,471 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 4 - BetaIntended Audience :: DevelopersLicense :: OSI Approved :: MIT LicenseProgramming Language :: Python :: 3.10 |
Evidence: semantic_link_functions_holidays-0.14.2-py3-none-any.whl
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See also semantic-link-functions-meteostat · semantic-link-functions-phonenumbers · woodwork · semantic-link-functions-geopandas · semantic-link-functions-validators · holidays · semantic-link · semantic-link-sempy · jpholiday · semantic-link-labs