huggingface/sentence-transformers
State-of-the-Art Embeddings, Retrieval, and Reranking
⚡ Executive Summary & Quick Facts
Authoritative Sourcesentence-transformers is sentence-transformers is an open-source project written in Python: State-of-the-Art Embeddings, Retrieval, and Reranking..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), huggingface/sentence-transformers has accumulated 19,255 GitHub stars and 3,012 forks. It is written in Python, licensed under Apache-2.0, and ranks #888 globally. It is actively maintained with the latest commit recorded on Nov 4, 2026.”
| Repository | huggingface/sentence-transformers ↗ |
|---|---|
| Primary Category | developer tools |
| Language & Stack | Python |
| Software License | Apache-2.0 |
| Community Traction | ★ 19.3K stars · ⑂ 3K forks · #888 globally |
| Maintenance | ● Active (Last commit: Nov 4, 2026) · 1,311 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: 90/100 · Grade AYes, sentence-transformers is actively maintained. Continuous telemetry recorded the last code commit on Nov 4, 2026 (9 days ago). Supported by 19,255 stars and 3,012 community forks, this repository holds a calculated health index of 90/100, reflecting very active (commits within last 14 days) and high open issue volume (1,311 open).
Star History
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Momentum
+481
STARS · LAST 30 DAYS
16
PER DAY
#167
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +0 | +481 | +1.4K |
| Per day | 1 | 16 | 16 |
| Forks gained | +0 | +60 | +151 |
sentence-transformers gained 481 stars in the last 30 days, about 16 a day, and now has 19.3K. It is about 7 years old and has averaged roughly 2.8K stars a year. It ranks #167 among Python repositories and #888 across all languages on GitHubRepo.
Trending Record
6
DAYS ON TRENDING
#7792
BEST RANK
Nov 4, 2026
FIRST APPEARANCE
Active
STATUS TODAY
sentence-transformers has maintained a continuous presence across global trending indexes, peaking at #7792. Below is the 30-day activity profile:
💡 Overview
sentence-transformers is an open-source project written in Python: State-of-the-Art Embeddings, Retrieval, and Reranking.
Engineered for speed, consistency, and developer ease, it solves common hurdles in Python. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ pip install sentence-transformers
⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
sentence-transformers 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 sentence-transformers 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 Apache-2.0 license.
🚀 Getting Started
Install sentence-transformers using your package manager: `pip install sentence-transformers`
Initialize your project workspace or configuration file for sentence-transformers.
Import sentence-transformers into your codebase or invoke it directly from your terminal.
Execute your test suite or run `sentence-transformers --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 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
huggingface/sentence-transformers is currently ranked #888 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #883 | Droid-Deck/DroidDeck | Kotlin | ★ 19.5K | Compare ↗ |
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| #888 | huggingface/sentence-transformers This Project | Python | ★ 19.3K | |
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Frequently Asked Questions
What does sentence-transformers do? +
State-of-the-Art Embeddings, Retrieval, and Reranking
Is sentence-transformers actively maintained in 2026? +
Yes, sentence-transformers is actively maintained. The latest code push was recorded on Nov 4, 2026 (9 days ago). It holds a calculated Maintenance Health Score of 90/100 (A rating) with 19,255 stars and 1,311 open issues.
What language is sentence-transformers written in? +
The primary language is Python. Topics include: software.
How many stars does sentence-transformers have? +
sentence-transformers has 19,255 stars and 3,012 forks on GitHub.
How does sentence-transformers rank among GitHub repositories? +
With 19,255 stars, huggingface/sentence-transformers is ranked #888 globally across all repositories tracked on GitHubRepo and #167 among Python projects.
What license is sentence-transformers distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.