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linkedin/venice

Venice, Derived Data Platform for Planet-Scale Workloads.

Java ◇ ai BSD-2-Clause
★613STARS
⑂124FORKS
!31ISSUES
🏆#3,319GLOBAL RANK
🔥2DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for linkedin/venice
CSV

Momentum

+15

STARS · LAST 30 DAYS

1

PER DAY

#256

MOST-STARRED Java

Window7 days30 days90 days
Stars gained+7+15+90
Per day111
Forks gained+1+3+10

venice gained 15 stars in the last 30 days, about 1 a day, and now has 613. It is about 6 years old and has averaged roughly 102 stars a year. It ranks #256 among Java repositories and #3,319 across all languages on GitHubRepo.

Trending Record

venice has maintained a continuous presence across global trending indexes, peaking at #2895. Below is the 30-day activity profile:

💡 Overview

venice is an open-source project written in Java: Venice, Derived Data Platform for Planet-Scale Workloads.

Engineered for speed, consistency, and developer ease, it solves common hurdles in ai, database, hadoop. 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/linkedin/venice.git
cd venice

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

JDK 17 or higher (OpenJDK / GraalVM)

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

venice 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 venice.

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 venice using your package manager: `git clone https://github.com/linkedin/venice.git`

2

Initialize your project workspace or configuration file for venice.

3

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

4

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

👍 Strengths

Active community backing with 613 GitHub stars and verified adoption.
Permissive open-source distribution under the BSD-2-Clause 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

linkedin/venice is currently ranked #3,319 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#3,313 zapier/kubechecks Go ★ 616 Compare ↗
#3,315 ZcashFoundation/zebra Rust ★ 615 Compare ↗
#3,316 microsoft/ApplicationInsights-dotnet C# ★ 614 Compare ↗
#3,316 michael-denyer/pstack-claude TypeScript ★ 614 Compare ↗
#3,316 codejunkie99/fable-orchestrator Shell ★ 614 Compare ↗
#3,319 linkedin/venice This Project Java ★ 613
#3,319 dfinity/examples Rust ★ 613 Compare ↗
#3,319 1ay1/agentty C++ ★ 613 Compare ↗
#3,319 wy-coliney/jev-browser-use JavaScript ★ 613 Compare ↗
#3,323 pion/ice Go ★ 612 Compare ↗
#3,324 w3bdesign/nextjs-woocommerce TypeScript ★ 611 Compare ↗

Frequently Asked Questions

What does venice do? +

Venice, Derived Data Platform for Planet-Scale Workloads.

What language is venice written in? +

The primary language is Java. Topics include: ai, database, hadoop, kafka, ml.

Is venice actively maintained? +

Yes, the last recorded push was on Sep 26, 2026 with 31 open issues being tracked.

How many stars does venice have? +

venice has 613 stars and 124 forks on GitHub.

How does venice rank among GitHub repositories? +

With 613 stars, linkedin/venice is ranked #3,319 globally across all repositories tracked on GitHubRepo and #256 among Java projects.

What license is venice distributed under? +

The repository reports a BSD-2-Clause license. Always verify the repository LICENSE file for legal terms.

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