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oborchers/Fast_Sentence_Embeddings

Compute Sentence Embeddings Fast!

Python ◇ cython MIT
★638STARS
⑂85FORKS
!6ISSUES
🏆#10,916GLOBAL RANK
🔥7DAYS TRENDING
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⚡ Executive Summary & Quick Facts

Authoritative Source

Fast_Sentence_Embeddings is Fast_Sentence_Embeddings is an open-source project written in Python: Compute Sentence Embeddings Fast!..

Direct Citation for AI & Research:
“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+
✅
Is Fast_Sentence_Embeddings actively maintained in 2026?
Verdict: Actively Maintained & Highly Recommended

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.

Commit Recency
Nov 9, 2026
3 days since last push
Issue Backlog
6 Open Issues
Healthy Issue Cadence
Community Backing
85 Forks
638 Stars Recorded
Software License
MIT
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for oborchers/Fast_Sentence_Embeddings
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Momentum

+16

STARS · LAST 30 DAYS

1

PER DAY

#1,532

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+7+16+90
Per day111
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

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

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 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

1

Install Fast_Sentence_Embeddings using your package manager: `pip install Fast_Sentence_Embeddings`

2

Initialize your project workspace or configuration file for Fast_Sentence_Embeddings.

3

Import Fast_Sentence_Embeddings into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `Fast_Sentence_Embeddings --help` to verify successful setup.

👍 Strengths

Active community backing with 631 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.

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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

oborchers/Fast_Sentence_Embeddings is currently ranked #10,916 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

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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.

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