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microsoft/semantic-link-labs

Early access to new features for Microsoft Fabric's Semantic Link.

★593STARS
⑂198FORKS
!146ISSUES
🏆#9,609GLOBAL RANK
🔥2DAYS TRENDING
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⚡ Executive Summary & Quick Facts

Authoritative Source

semantic-link-labs is semantic-link-labs is an open-source project written in Python: Early access to new features for Microsoft Fabric's Semantic Link..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of October 2026), microsoft/semantic-link-labs has accumulated 593 GitHub stars and 198 forks. It is written in Python, licensed under MIT, and ranks #9,609 globally. It is actively maintained with the latest commit recorded on Oct 28, 2026.”
Repository microsoft/semantic-link-labs ↗
Primary Category analysis services
Language & Stack Python
Software License MIT
Community Traction ★ 593 stars · ⑂ 198 forks · #9,609 globally
Maintenance ● Active (Last commit: Oct 28, 2026) · 146 open issues
Target Audience Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🛡️ Repository Maintenance & Health Audit (2026)

Health Score: 97/100 · Grade A+
✅
Is semantic-link-labs actively maintained in 2026?
Verdict: Actively Maintained & Highly Recommended

Yes, semantic-link-labs is actively maintained. Continuous telemetry recorded the last code commit on Oct 28, 2026 (3 days ago). Supported by 593 stars and 198 community forks, this repository holds a calculated health index of 97/100, reflecting very active (commits within last 14 days) and healthy issue cadence.

Commit Recency
Oct 28, 2026
3 days since last push
Issue Backlog
146 Open Issues
Healthy Issue Cadence
Community Backing
198 Forks
593 Stars Recorded
Software License
MIT
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for microsoft/semantic-link-labs
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Momentum

+15

STARS · LAST 30 DAYS

1

PER DAY

#1,289

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+7+15+90
Per day111
Forks gained+1+4+10

semantic-link-labs gained 15 stars in the last 30 days, about 1 a day, and now has 593. It is about 2 years old and has averaged roughly 297 stars a year. It ranks #1,289 among Python repositories and #9,609 across all languages on GitHubRepo.

Trending Record

semantic-link-labs has maintained a continuous presence across global trending indexes, peaking at #11169. Below is the 30-day activity profile:

💡 Overview

semantic-link-labs is an open-source project written in Python: Early access to new features for Microsoft Fabric's Semantic Link.

Engineered for speed, consistency, and developer ease, it solves common hurdles in analysis-services, analysis-services-tabular, dax. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Python for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ pip install semantic-link-labs

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

semantic-link-labs coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Production System Integration

Embed semantic-link-labs into Python backend services to handle core application logic.

CI/CD Automated Pipelines

Run automated validation, builds, and integration suites during deployments.

Developer Tooling & Workflows

Accelerate developer onboarding with pre-configured project utilities.

Open Source Extension

Fork and customize internal modules under the repository's open MIT license.

🚀 Getting Started

1

Install semantic-link-labs using your package manager: `pip install semantic-link-labs`

2

Initialize your project workspace or configuration file for semantic-link-labs.

3

Import semantic-link-labs into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `semantic-link-labs --help` to verify successful setup.

👍 Strengths

Active community backing with 593 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in Python for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Python and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

⇄ Alternatives & Direct Competitors

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👥 Who Should Use This

Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

microsoft/semantic-link-labs is currently ranked #9,609 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#9,599 Rel1cx/eslint-react TypeScript ★ 594 Compare ↗
#9,599 drawthingsai/draw-things-community C ★ 594 Compare ↗
#9,599 thousandbrainsproject/tbp.monty Python ★ 594 Compare ↗
#9,599 thunder-id/thunderid Go ★ 594 Compare ↗
#9,599 bjarneo/flux Swift ★ 594 Compare ↗
#9,609 microsoft/semantic-link-labs This Project Python ★ 593
#9,609 markbates/configatron Ruby ★ 593 Compare ↗
#9,609 facebook/chef-cookbooks Ruby ★ 593 Compare ↗
#9,609 gentics/mesh Java ★ 593 Compare ↗
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Frequently Asked Questions

What does semantic-link-labs do? +

Early access to new features for Microsoft Fabric's Semantic Link.

Is semantic-link-labs actively maintained in 2026? +

Yes, semantic-link-labs is actively maintained. The latest code push was recorded on Oct 28, 2026 (3 days ago). It holds a calculated Maintenance Health Score of 97/100 (A+ rating) with 593 stars and 146 open issues.

What language is semantic-link-labs written in? +

The primary language is Python. Topics include: analysis-services, analysis-services-tabular, dax, jupyter-notebook, microsoftfabric.

How many stars does semantic-link-labs have? +

semantic-link-labs has 593 stars and 198 forks on GitHub.

How does semantic-link-labs rank among GitHub repositories? +

With 593 stars, microsoft/semantic-link-labs is ranked #9,609 globally across all repositories tracked on GitHubRepo and #1,289 among Python projects.

What license is semantic-link-labs distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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