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segmentio/analytics-java

The hassle-free way to integrate analytics into any java application.

★125STARS
⑂96FORKS
!18ISSUES
🏆#7,993GLOBAL RANK
🔥39DAYS TRENDING
🚀
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#668

MOST-STARRED Java

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

analytics-java gained 10 stars in the last 30 days, about 1 a day, and now has 125. It is about 14 years old and has averaged roughly 9 stars a year. It ranks #668 among Java repositories and #7,993 across all languages on GitHubRepo.

Trending Record

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

💡 Overview

analytics-java is an open-source project written in Java: The hassle-free way to integrate analytics into any java application.

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/segmentio/analytics-java.git
cd analytics-java

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

JDK 17 or higher (OpenJDK / GraalVM)

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

analytics-java 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 analytics-java 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 source license.

🚀 Getting Started

1

Install analytics-java using your package manager: `git clone https://github.com/segmentio/analytics-java.git`

2

Initialize your project workspace or configuration file for analytics-java.

3

Import analytics-java into your codebase or invoke it directly from your terminal.

4

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

👍 Strengths

Active community backing with 125 GitHub stars and verified adoption.
Permissive open-source distribution under the Open Source 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

segmentio/analytics-java is currently ranked #7,993 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#7,966 eeeeaaii/vodka JavaScript ★ 126 Compare ↗
#7,966 erkyrath/glulxe C ★ 126 Compare ↗
#7,966 linuxfrorg/linuxfr.org SCSS ★ 126 Compare ↗
#7,966 Twcash/Aquarion Java ★ 126 Compare ↗
#7,966 iamyoki/qwen-image-2.1-skill Python ★ 126 Compare ↗
#7,993 segmentio/analytics-java This Project Java ★ 125
#7,993 apimart-66/openai-compatible-api-migration-kit Python ★ 125 Compare ↗
#7,993 rogerpadilla/uql TypeScript ★ 125 Compare ↗
#7,993 timschneeb/ShizuStore Kotlin ★ 125 Compare ↗
#7,993 tog/tog Ruby ★ 125 Compare ↗
#7,993 dokterbob/django-agenda Python ★ 125 Compare ↗

Frequently Asked Questions

What does analytics-java do? +

The hassle-free way to integrate analytics into any java application.

What language is analytics-java written in? +

The primary language is Java. Topics include: software.

Is analytics-java actively maintained? +

Yes, the last recorded push was on Sep 26, 2026 with 18 open issues being tracked.

How many stars does analytics-java have? +

analytics-java has 125 stars and 96 forks on GitHub.

How does analytics-java rank among GitHub repositories? +

With 125 stars, segmentio/analytics-java is ranked #7,993 globally across all repositories tracked on GitHubRepo and #668 among Java projects.

What license is analytics-java distributed under? +

No SPDX license identified yet. Code without a license is subject to copyright by default.

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