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opensearch-project/data-prepper

OpenSearch Data Prepper is a component of the OpenSearch project that accepts, filters, transforms, enriches, and routes data at scale.

Java ◇ analytics Apache-2.0
★375STARS
⑂365FORKS
!822ISSUES
🏆#9,066GLOBAL RANK
🔥8DAYS TRENDING
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#765

MOST-STARRED Java

Window7 days30 days90 days
Stars gained+0+10+90
Per day111
Forks gained+0+7+18

data-prepper gained 10 stars in the last 30 days, about 1 a day, and now has 375. It is about 6 years old and has averaged roughly 63 stars a year. It ranks #765 among Java repositories and #9,066 across all languages on GitHubRepo.

Trending Record

data-prepper has maintained a continuous presence across global trending indexes, peaking at #7591. Below is the 30-day activity profile:

💡 Overview

data-prepper is an open-source project written in Java: OpenSearch Data Prepper is a component of the OpenSearch project that accepts, filters, transforms, enriches, and routes data at scale.

Engineered for speed, consistency, and developer ease, it solves common hurdles in analytics, ingestion, 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/opensearch-project/data-prepper.git
cd data-prepper

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

JDK 17 or higher (OpenJDK / GraalVM)

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

data-prepper 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 data-prepper 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 Apache-2.0 license.

🚀 Getting Started

1

Install data-prepper using your package manager: `git clone https://github.com/opensearch-project/data-prepper.git`

2

Initialize your project workspace or configuration file for data-prepper.

3

Import data-prepper into your codebase or invoke it directly from your terminal.

4

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

👍 Strengths

Active community backing with 375 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 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.

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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

opensearch-project/data-prepper is currently ranked #9,066 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#9,054 AprilSylph/XKit-Rewritten JavaScript ★ 376 Compare ↗
#9,054 pixiv/charcoal TypeScript ★ 376 Compare ↗
#9,054 openflocon/Flocon Kotlin ★ 376 Compare ↗
#9,054 tddworks/asc-cli Swift ★ 376 Compare ↗
#9,054 timoncool/ACE-Step-Studio TypeScript ★ 376 Compare ↗
#9,066 opensearch-project/data-prepper This Project Java ★ 375
#9,066 jeffbyrnes/railsless-deploy Ruby ★ 375 Compare ↗
#9,066 talklittle/reddit-is-fun Java ★ 375 Compare ↗
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Frequently Asked Questions

What does data-prepper do? +

OpenSearch Data Prepper is a component of the OpenSearch project that accepts, filters, transforms, enriches, and routes data at scale.

What language is data-prepper written in? +

The primary language is Java. Topics include: analytics, ingestion, java, logs, metrics.

Is data-prepper actively maintained? +

Yes, the last recorded push was on Oct 6, 2026 with 822 open issues being tracked.

How many stars does data-prepper have? +

data-prepper has 375 stars and 365 forks on GitHub.

How does data-prepper rank among GitHub repositories? +

With 375 stars, opensearch-project/data-prepper is ranked #9,066 globally across all repositories tracked on GitHubRepo and #765 among Java projects.

What license is data-prepper distributed under? +

The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.

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