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lakehq
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lakehq/sail

Drop-in Apache Spark replacement written in Rust, unifying batch processing, stream processing, and compute-intensive AI workloads.

Rust ◇ apache-iceberg Apache-2.0
★3.4KSTARS
⑂221FORKS
!308ISSUES
🏆#2,472GLOBAL RANK
🔥13DAYS TRENDING
🚀
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Momentum

+85

STARS · LAST 30 DAYS

3

PER DAY

#246

MOST-STARRED Rust

Window7 days30 days90 days
Stars gained+13+85+270
Per day233
Forks gained+1+4+11

sail gained 85 stars in the last 30 days, about 3 a day, and now has 3.4K. It is about 3 years old and has averaged roughly 1.1K stars a year. It ranks #246 among Rust repositories and #2,472 across all languages on GitHubRepo.

Trending Record

sail has maintained a continuous presence across global trending indexes, peaking at #929. Below is the 30-day activity profile:

💡 Overview

sail is an open-source project written in Rust: Drop-in Apache Spark replacement written in Rust, unifying batch processing, stream processing, and compute-intensive AI workloads.

Engineered for speed, consistency, and developer ease, it solves common hurdles in apache-iceberg, apache-spark, arrow. 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 Rust 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
$ cargo install sail

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Rust toolchain (rustc / cargo >= 1.70)

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

sail coordinates its core functionality through a modular Rust 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 sail into Rust 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 sail using your package manager: `cargo install sail`

2

Initialize your project workspace or configuration file for sail.

3

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

4

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

👍 Strengths

Active community backing with 3,394 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 license.
Built in Rust 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 Rust 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

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👥 Who Should Use This

Developers and engineering teams building with Rust, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

lakehq/sail is currently ranked #2,472 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#2,467 awslabs/agentcore-samples Python ★ 3.4K Compare ↗
#2,468 Belphemur/SoundSwitch C# ★ 3.4K Compare ↗
#2,469 laravel/passport PHP ★ 3.4K Compare ↗
#2,470 stevencohn/OneMore C# ★ 3.4K Compare ↗
#2,471 RunMaestro/Maestro TypeScript ★ 3.4K Compare ↗
#2,472 lakehq/sail This Project Rust ★ 3.4K
#2,472 chrisvel/tududi JavaScript ★ 3.4K Compare ↗
#2,474 coveragepy/coveragepy Python ★ 3.4K Compare ↗
#2,475 padrino/padrino-framework Ruby ★ 3.4K Compare ↗
#2,476 brefphp/bref PHP ★ 3.4K Compare ↗
#2,477 rocicorp/mono TypeScript ★ 3.4K Compare ↗

Frequently Asked Questions

What does sail do? +

Drop-in Apache Spark replacement written in Rust, unifying batch processing, stream processing, and compute-intensive AI workloads.

What language is sail written in? +

The primary language is Rust. Topics include: apache-iceberg, apache-spark, arrow, artificial-intelligence, big-data.

Is sail actively maintained? +

Yes, the last recorded push was on Oct 2, 2026 with 308 open issues being tracked.

How many stars does sail have? +

sail has 3,411 stars and 221 forks on GitHub.

How does sail rank among GitHub repositories? +

With 3,411 stars, lakehq/sail is ranked #2,472 globally across all repositories tracked on GitHubRepo and #246 among Rust projects.

What license is sail distributed under? +

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

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