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apache/gravitino

World's most powerful open data catalog for building a high-performance, geo-distributed and federated metadata lake.

Java ◇ ai-catalog Apache-2.0
★3.2KSTARS
⑂944FORKS
!1,130ISSUES
🏆#1,425GLOBAL RANK
🔥1DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for apache/gravitino
CSV

Momentum

+81

STARS · LAST 30 DAYS

3

PER DAY

#98

MOST-STARRED Java

Window7 days30 days90 days
Stars gained+21+81+270
Per day333
Forks gained+5+19+47

gravitino gained 81 stars in the last 30 days, about 3 a day, and now has 3.2K. It is about 3 years old and has averaged roughly 1.1K stars a year. It ranks #98 among Java repositories and #1,425 across all languages on GitHubRepo.

Trending Record

gravitino has maintained a continuous presence across global trending indexes, peaking at #1920. Below is the 30-day activity profile:

💡 Overview

gravitino is an open-source project written in Java: World's most powerful open data catalog for building a high-performance, geo-distributed and federated metadata lake.

Engineered for speed, consistency, and developer ease, it solves common hurdles in ai-catalog, data-catalog, datalake. 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/apache/gravitino.git
cd gravitino

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

JDK 17 or higher (OpenJDK / GraalVM)

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

gravitino 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

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with gravitino.

Model Inference & Prompting

Integrate fast, local or cloud-hosted generative AI models directly into production code.

Context Memory & RAG

Augment language models with dynamic vector retrieval and structured project memory.

Developer Productivity

Automate repetitive engineering tasks, code generation, and test creation using AI agents.

🚀 Getting Started

1

Install gravitino using your package manager: `git clone https://github.com/apache/gravitino.git`

2

Initialize your project workspace or configuration file for gravitino.

3

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

4

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

👍 Strengths

Active community backing with 3,240 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.

⇄ Alternatives & Direct Competitors

S

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G
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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

apache/gravitino is currently ranked #1,425 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#1,420 AIEraDev/Clypra TypeScript ★ 3.3K Compare ↗
#1,421 Automattic/juice JavaScript ★ 3.3K Compare ↗
#1,422 vifm/vifm C ★ 3.3K Compare ↗
#1,423 ikawrakow/ik_llama.cpp C++ ★ 3.3K Compare ↗
#1,424 mojombo/chronic Ruby ★ 3.3K Compare ↗
#1,425 apache/gravitino This Project Java ★ 3.2K
#1,425 nix-community/nh Rust ★ 3.2K Compare ↗
#1,427 software-mansion/TypeGPU TypeScript ★ 3.2K Compare ↗
#1,428 jcubic/jquery.terminal JavaScript ★ 3.2K Compare ↗
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Frequently Asked Questions

What does gravitino do? +

World's most powerful open data catalog for building a high-performance, geo-distributed and federated metadata lake.

What language is gravitino written in? +

The primary language is Java. Topics include: ai-catalog, data-catalog, datalake, federated-query, lakehouse.

Is gravitino actively maintained? +

Yes, the last recorded push was on Sep 28, 2026 with 1,130 open issues being tracked.

How many stars does gravitino have? +

gravitino has 3,240 stars and 944 forks on GitHub.

How does gravitino rank among GitHub repositories? +

With 3,240 stars, apache/gravitino is ranked #1,425 globally across all repositories tracked on GitHubRepo and #98 among Java projects.

What license is gravitino distributed under? +

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

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