General Metadata Architecture
Star History
Momentum
+10
STARS · LAST 30 DAYS
1
PER DAY
#472
MOST-STARRED Java
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
datahub-gma gained 10 stars in the last 30 days, about 1 a day, and now has 142. It is about 6 years old and has averaged roughly 24 stars a year. It ranks #472 among Java repositories and #5,952 across all languages on GitHubRepo.
Trending Record
4
DAYS ON TRENDING
#3256
BEST RANK
Sep 25, 2026
FIRST APPEARANCE
Active
STATUS TODAY
datahub-gma has maintained a continuous presence across global trending indexes, peaking at #3256. Below is the 30-day activity profile:
💡 Overview
datahub-gma is an open-source project written in Java: General Metadata Architecture.
Engineered for speed, consistency, and developer ease, it solves common hurdles in datahub, linkedin, metadata. 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 Java 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
$ git clone https://github.com/linkedin/datahub-gma.git
cd datahub-gma⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
JDK 17 or higher (OpenJDK / GraalVM)
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
datahub-gma 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 datahub-gma 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
Install datahub-gma using your package manager: `git clone https://github.com/linkedin/datahub-gma.git`
Initialize your project workspace or configuration file for datahub-gma.
Import datahub-gma into your codebase or invoke it directly from your terminal.
Execute your test suite or run `datahub-gma --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 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
linkedin/datahub-gma is currently ranked #5,952 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #5,933 | themuffinator/openQ4 | C++ | ★ 143 | Compare ↗ |
| #5,933 | fullsend-ai/fullsend | Go | ★ 143 | Compare ↗ |
| #5,933 | tornikebolokadze1-cyber/awesome-ai-pulse-georgia | TypeScript | ★ 143 | Compare ↗ |
| #5,933 | umamoorg/umamo | Kotlin | ★ 143 | Compare ↗ |
| #5,933 | Asterisk4Magisk/AsteriskBOX | Kotlin | ★ 143 | Compare ↗ |
| #5,952 | linkedin/datahub-gma This Project | Java | ★ 142 | |
| #5,952 | sethfitz/oauth-proxy | Python | ★ 142 | Compare ↗ |
| #5,952 | mamuso/acts_as_unvlogable | Ruby | ★ 142 | Compare ↗ |
| #5,952 | FormulaMonks/contest | Ruby | ★ 142 | Compare ↗ |
| #5,952 | pinballmap/pbm | Ruby | ★ 142 | Compare ↗ |
| #5,952 | j0k3r/banditore | PHP | ★ 142 | Compare ↗ |
Frequently Asked Questions
What does datahub-gma do? +
General Metadata Architecture
What language is datahub-gma written in? +
The primary language is Java. Topics include: datahub, linkedin, metadata.
Is datahub-gma actively maintained? +
Yes, the last recorded push was on Sep 24, 2026 with 38 open issues being tracked.
How many stars does datahub-gma have? +
datahub-gma has 142 stars and 63 forks on GitHub.
How does datahub-gma rank among GitHub repositories? +
With 142 stars, linkedin/datahub-gma is ranked #5,952 globally across all repositories tracked on GitHubRepo and #472 among Java projects.
What license is datahub-gma distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
