Compute Sentence Embeddings Fast!
⚡ Executive Summary & Quick Facts
Authoritative SourceFast_Sentence_Embeddings is Fast_Sentence_Embeddings is an open-source project written in Python: Compute Sentence Embeddings Fast!..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), oborchers/Fast_Sentence_Embeddings has accumulated 638 GitHub stars and 85 forks. It is written in Python, licensed under MIT, and ranks #10,916 globally. It is actively maintained with the latest commit recorded on Nov 9, 2026.”
| Repository | oborchers/Fast_Sentence_Embeddings ↗ |
|---|---|
| Primary Category | cython |
| Language & Stack | Python |
| Software License | MIT |
| Community Traction | ★ 638 stars · ⑂ 85 forks · #10,916 globally |
| Maintenance | ● Active (Last commit: Nov 9, 2026) · 6 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: 93/100 · Grade A+Yes, Fast_Sentence_Embeddings is actively maintained. Continuous telemetry recorded the last code commit on Nov 9, 2026 (3 days ago). Supported by 638 stars and 85 community forks, this repository holds a calculated health index of 93/100, reflecting very active (commits within last 14 days) and healthy issue cadence.
Star History
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Momentum
+16
STARS · LAST 30 DAYS
1
PER DAY
#1,532
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +16 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
Fast_Sentence_Embeddings gained 16 stars in the last 30 days, about 1 a day, and now has 638. It is about 7 years old and has averaged roughly 91 stars a year. It ranks #1,532 among Python repositories and #10,916 across all languages on GitHubRepo.
Trending Record
7
DAYS ON TRENDING
#5665
BEST RANK
Nov 3, 2026
FIRST APPEARANCE
Active
STATUS TODAY
Fast_Sentence_Embeddings has maintained a continuous presence across global trending indexes, peaking at #5665. Below is the 30-day activity profile:
💡 Overview
Fast_Sentence_Embeddings is an open-source project written in Python: Compute Sentence Embeddings Fast!.
Engineered for speed, consistency, and developer ease, it solves common hurdles in cython, document-similarity, embeddings. 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 Fast_Sentence_Embeddings
⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
Fast_Sentence_Embeddings 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 Fast_Sentence_Embeddings 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
Install Fast_Sentence_Embeddings using your package manager: `pip install Fast_Sentence_Embeddings`
Initialize your project workspace or configuration file for Fast_Sentence_Embeddings.
Import Fast_Sentence_Embeddings into your codebase or invoke it directly from your terminal.
Execute your test suite or run `Fast_Sentence_Embeddings --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
oborchers/Fast_Sentence_Embeddings is currently ranked #10,916 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #10,904 | SecOps-7/MikroDash | Go | ★ 639 | Compare ↗ |
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| #10,916 | oborchers/Fast_Sentence_Embeddings This Project | Python | ★ 638 | |
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Frequently Asked Questions
What does Fast_Sentence_Embeddings do? +
Compute Sentence Embeddings Fast!
Is Fast_Sentence_Embeddings actively maintained in 2026? +
Yes, Fast_Sentence_Embeddings is actively maintained. The latest code push was recorded on Nov 9, 2026 (3 days ago). It holds a calculated Maintenance Health Score of 93/100 (A+ rating) with 638 stars and 6 open issues.
What language is Fast_Sentence_Embeddings written in? +
The primary language is Python. Topics include: cython, document-similarity, embeddings, fasttext, fse.
How many stars does Fast_Sentence_Embeddings have? +
Fast_Sentence_Embeddings has 638 stars and 85 forks on GitHub.
How does Fast_Sentence_Embeddings rank among GitHub repositories? +
With 638 stars, oborchers/Fast_Sentence_Embeddings is ranked #10,916 globally across all repositories tracked on GitHubRepo and #1,532 among Python projects.
What license is Fast_Sentence_Embeddings distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.