semantic-link-sempy
Semantic link for Microsoft Fabric
Decision gist · record as of 2026-08-14
Yes, if you are actively working in Microsoft Fabric and need to integrate Power BI semantic models into your data science workflows. The package is actively maintained, has low install friction, and provides essential connectivity for Fabric-native development. However, the proprietary license and Beta status mean you should review Microsoft's terms and test thoroughly before production use. Not suitable for standalone Python environments or non-Fabric contexts.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires a Microsoft Fabric subscription and must run within a Fabric notebook or Spark job; not supported in standalone Python environments.
- Requires Python 3.10 or later.
- Low install friction with a pure-Python wheel distribution.
License · maintenance · safety
proprietary and confidential (unclear) — Licensed as proprietary and confidential with unclear treatment. The license is not an open-source SPDX identifier, so redistribution, modification, and commercial use are restricted by Microsoft's terms. Review the linked Terms of Service before integrating into production systems.
last release 2026-07-21 (24 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 951,817 downloads/mo, #4,654 on PyPI
Alternatives
Verify before relying
pip install semantic-link-sempy
import sempy.fabric as fabric
# List workspaces in Fabric tenant
workspaces = fabric.admin.list_workspaces()- Whether the 75 admin API functions and semantic propagation features are stable or still evolving in Beta status
- Performance characteristics when querying large Power BI semantic models or executing complex DAX expressions
- Compatibility with non-Microsoft authentication or on-premises Power BI instances
What it is and what it does
Semantic-link-sempy is the core package of Microsoft's semantic link feature, designed to bridge Power BI datasets and Microsoft Fabric's data science environment. It provides Python APIs to connect Spark notebooks and jobs to Power BI semantic models, query them via DAX, and enrich data analysis with Power BI measures and domain semantics. The package is built for data scientists working in Fabric who need to access and leverage semantic information stored in Power BI without leaving their notebooks.
The package includes connectivity to Power BI through the Spark native connector, data augmentation capabilities, and a comprehensive admin API (75 functions) for managing Fabric workspaces, capacities, domains, datasets, reports, and tenant settings. It depends on a large ecosystem of Azure SDKs, PySpark, pandas, and IPython, reflecting its tight integration with the Fabric platform. The package is classified as Beta, indicating active development and potential API changes.
Use it for
- Query Power BI semantic models and DAX measures directly from a Fabric notebook to augment pandas or Spark DataFrames with business logic.
- Automate tenant and workspace administration tasks such as listing workspaces, managing user access, and assigning capacities programmatically.
- Deploy or update semantic model definitions across Fabric workspaces, including remapping Direct Lake connections to new lakehouses.
- Extract and modify Power BI report layouts by reading and updating report.json files within a Fabric notebook workflow.
- Propagate semantic metadata and domain knowledge across data science projects to standardize analysis and reduce errors.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are actively working in Microsoft Fabric and need to integrate Power BI semantic models into your data science workflows.
The package is actively maintained, has low install friction, and provides essential connectivity for Fabric-native development. However, the proprietary license and Beta status mean you should review Microsoft's terms and test thoroughly before production use. Not suitable for standalone Python environments or non-Fabric contexts.
Install
semantic-link-sempy on PyPI
Before you install
Low install friction with a pure-Python wheel distribution. Active maintenance with a release 24 days ago. Requires Python 3.10 or later and depends on 23 runtime packages including PySpark, pandas, Azure SDKs, and IPython—typical for a Fabric-integrated tool but substantial for lightweight projects.
Requires a Microsoft Fabric subscription and must run within a Fabric notebook or Spark job; not supported in standalone Python environments. Requires Python 3.10 or later.
License in practice
Licensed as proprietary and confidential with unclear treatment. The license is not an open-source SPDX identifier, so redistribution, modification, and commercial use are restricted by Microsoft's terms. Review the linked Terms of Service before integrating into production systems.
Quickstart
pip install semantic-link-sempy
import sempy.fabric as fabric
# List workspaces in Fabric tenant
workspaces = fabric.admin.list_workspaces()Verify before relying
- Whether the 75 admin API functions and semantic propagation features are stable or still evolving in Beta status
- Performance characteristics when querying large Power BI semantic models or executing complex DAX expressions
- Compatibility with non-Microsoft authentication or on-premises Power BI instances
Package facts
| License | proprietary and confidential unclear |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 23 packagesclr_loaderfabric-analytics-sdkfabric-analytics-notebook-plugingraphvizazure-storage-blobazure-coreazure-keyvault-secretsazure-storage-file-datalakeipywidgetspyarrowpythonnetscikit_learnsetuptoolstqdmrichregexpandaspyjwtpysparkrequestsaiohttpIPythontenacity |
| Maintenance | Actively maintained 24 days since the last release |
| First released | |
| Downloads | 951,817 / month, #4,654 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 :: Other/Proprietary LicenseProgramming Language :: Python :: 3.10 |
Evidence: semantic_link_sempy-0.14.2-py3-none-any.whl
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See also semantic-link · semantic-link-labs · semantic-link-functions-validators · semantic-link-functions-holidays · semantic-link-functions-geopandas · semantic-link-functions-phonenumbers · dbt-fabricspark · visions · xmhuffman · pbixray