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LinkedInAttic
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LinkedInAttic/sensei

distributed realtime searchable database

Java ◇ developer-tools NOASSERTION
★541STARS
⑂162FORKS
!19ISSUES
🏆#8,067GLOBAL RANK
🔥50DAYS TRENDING
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Momentum

+14

STARS · LAST 30 DAYS

1

PER DAY

#663

MOST-STARRED Java

Window7 days30 days90 days
Stars gained+7+14+90
Per day111
Forks gained+1+3+10

sensei gained 14 stars in the last 30 days, about 1 a day, and now has 541. It is about 17 years old and has averaged roughly 32 stars a year. It ranks #663 among Java repositories and #8,067 across all languages on GitHubRepo.

Trending Record

sensei has maintained a continuous presence across global trending indexes, peaking at #100. Below is the 30-day activity profile:

💡 Overview

sensei is an open-source project written in Java: distributed realtime searchable database.

Engineered for speed, consistency, and developer ease, it solves common hurdles in Java. 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 Java 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
$ git clone https://github.com/LinkedInAttic/sensei.git
cd sensei

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

JDK 17 or higher (OpenJDK / GraalVM)

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

sensei coordinates its core functionality through a modular Java 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 sensei into Java 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 NOASSERTION license.

🚀 Getting Started

1

Install sensei using your package manager: `git clone https://github.com/LinkedInAttic/sensei.git`

2

Initialize your project workspace or configuration file for sensei.

3

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

4

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

👍 Strengths

Active community backing with 541 GitHub stars and verified adoption.
Permissive open-source distribution under the NOASSERTION license.
Built in Java 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 Java 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 Java, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

LinkedInAttic/sensei is currently ranked #8,067 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#8,061 cowboy/jquery-resize JavaScript ★ 542 Compare ↗
#8,061 rive-app/rive-android Kotlin ★ 542 Compare ↗
#8,061 nathanbabcock/ffmpeg-sidecar Rust ★ 542 Compare ↗
#8,061 safedep/pmg Go ★ 542 Compare ↗
#8,061 pulseaiclub/phi Go ★ 542 Compare ↗
#8,067 LinkedInAttic/sensei This Project Java ★ 541
#8,067 stsquad/emacs_chrome JavaScript ★ 541 Compare ↗
#8,067 UI5/webcomponents-react TypeScript ★ 541 Compare ↗
#8,067 LDRAlighieri/Corbind Kotlin ★ 541 Compare ↗
#8,067 cilium/hubble-ui TypeScript ★ 541 Compare ↗
#8,067 mardous/BoomingMusic Kotlin ★ 541 Compare ↗
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Frequently Asked Questions

What does sensei do? +

distributed realtime searchable database

What language is sensei written in? +

The primary language is Java. Topics include: software.

Is sensei actively maintained? +

Yes, the last recorded push was on Jun 20, 2014 with 19 open issues being tracked.

How many stars does sensei have? +

sensei has 541 stars and 162 forks on GitHub.

How does sensei rank among GitHub repositories? +

With 541 stars, LinkedInAttic/sensei is ranked #8,067 globally across all repositories tracked on GitHubRepo and #663 among Java projects.

What license is sensei distributed under? +

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

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