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fluid-cloudnative
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fluid-cloudnative/fluid

Fluid, elastic data abstraction and acceleration for BigData/AI applications in cloud. (Project under CNCF)

Go ◇ ai-framework Apache-2.0
★2KSTARS
⑂1.3KFORKS
!343ISSUES
🏆#2,046GLOBAL RANK
🔥2DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for fluid-cloudnative/fluid
CSV

Momentum

+50

STARS · LAST 30 DAYS

2

PER DAY

#260

MOST-STARRED Go

Window7 days30 days90 days
Stars gained+14+50+180
Per day222
Forks gained+6+25+63

fluid gained 50 stars in the last 30 days, about 2 a day, and now has 2K. It is about 6 years old and has averaged roughly 331 stars a year. It ranks #260 among Go repositories and #2,046 across all languages on GitHubRepo.

Trending Record

fluid has maintained a continuous presence across global trending indexes, peaking at #2364. Below is the 30-day activity profile:

💡 Overview

fluid is an open-source project written in Go: Fluid, elastic data abstraction and acceleration for BigData/AI applications in cloud. (Project under CNCF) .

Engineered for speed, consistency, and developer ease, it solves common hurdles in ai-framework, alluxio, big-data. 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 Go 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
$ go install github.com/fluid-cloudnative/fluid@latest

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Go >= 1.21 runtime environment

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

fluid coordinates its core functionality through a modular Go 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 fluid.

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 fluid using your package manager: `go install github.com/fluid-cloudnative/fluid@latest`

2

Initialize your project workspace or configuration file for fluid.

3

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

4

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

👍 Strengths

Active community backing with 1,985 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 license.
Built in Go 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 Go 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 Go, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

fluid-cloudnative/fluid is currently ranked #2,046 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#2,041 libharu/libharu C ★ 2K Compare ↗
#2,042 scraly/developers-conferences-agenda JavaScript ★ 2K Compare ↗
#2,043 unjs/fontaine TypeScript ★ 2K Compare ↗
#2,044 jaz303/tipsy JavaScript ★ 2K Compare ↗
#2,045 Start9Labs/start-technologies Rust ★ 2K Compare ↗
#2,046 fluid-cloudnative/fluid This Project Go ★ 2K
#2,047 TeamNewPipe/NewPipeExtractor Java ★ 2K Compare ↗
#2,048 OtterBrowser/otter-browser C++ ★ 2K Compare ↗
#2,049 AntigmaLabs/ante Rust ★ 2K Compare ↗
#2,050 GIScience/openrouteservice Java ★ 2K Compare ↗
#2,050 apple/swift-openapi-generator Swift ★ 2K Compare ↗

Frequently Asked Questions

What does fluid do? +

Fluid, elastic data abstraction and acceleration for BigData/AI applications in cloud. (Project under CNCF)

What language is fluid written in? +

The primary language is Go. Topics include: ai-framework, alluxio, big-data, data-abstraction, distributed-cache.

Is fluid actively maintained? +

Yes, the last recorded push was on Sep 28, 2026 with 343 open issues being tracked.

How many stars does fluid have? +

fluid has 1,985 stars and 1,261 forks on GitHub.

How does fluid rank among GitHub repositories? +

With 1,985 stars, fluid-cloudnative/fluid is ranked #2,046 globally across all repositories tracked on GitHubRepo and #260 among Go projects.

What license is fluid distributed under? +

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

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