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DataSQRL
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DataSQRL/sqrl

Agentic Data Engineering Harness for building data pipelines, data products, data APIs, and data lakes autonomously

Java ◇ api Apache-2.0
★229STARS
⑂29FORKS
!57ISSUES
🏆#5,496GLOBAL RANK
🔥1DAYS TRENDING
🚀
Maintainer Growth Kit for sqrl

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Star History

Continuous Observations
Interactive star growth chart for DataSQRL/sqrl
CSV

Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#437

MOST-STARRED Java

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

sqrl gained 10 stars in the last 30 days, about 1 a day, and now has 229. It is about 5 years old and has averaged roughly 46 stars a year. It ranks #437 among Java repositories and #5,496 across all languages on GitHubRepo.

Trending Record

sqrl has maintained a continuous presence across global trending indexes, peaking at #5128. Below is the 30-day activity profile:

💡 Overview

sqrl is an open-source project written in Java: Agentic Data Engineering Harness for building data pipelines, data products, data APIs, and data lakes autonomously.

Engineered for speed, consistency, and developer ease, it solves common hurdles in api, data-engineering, data-pipeline. 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/DataSQRL/sqrl.git
cd sqrl

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

JDK 17 or higher (OpenJDK / GraalVM)

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

sqrl 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 sqrl 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

1

Install sqrl using your package manager: `git clone https://github.com/DataSQRL/sqrl.git`

2

Initialize your project workspace or configuration file for sqrl.

3

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

4

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

👍 Strengths

Active community backing with 229 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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👥 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

DataSQRL/sqrl is currently ranked #5,496 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#5,482 ColdP/HyperChanger Kotlin ★ 231 Compare ↗
#5,492 unitaryfoundation/qrack C++ ★ 230 Compare ↗
#5,492 lightning-uq-box/lightning-uq-box Python ★ 230 Compare ↗
#5,492 soupslurpr/BeauTyXT Kotlin ★ 230 Compare ↗
#5,492 skymanbp/autoshade Rust ★ 230 Compare ↗
#5,496 DataSQRL/sqrl This Project Java ★ 229
#5,496 erector/erector Ruby ★ 229 Compare ↗
#5,496 cardmagic/simple-rss Ruby ★ 229 Compare ↗
#5,496 liamks/libpytunes Python ★ 229 Compare ↗
#5,496 aplus-framework/session PHP ★ 229 Compare ↗
#5,496 LAA-Software-Engineering/golang-rest-api-template Go ★ 229 Compare ↗

Frequently Asked Questions

What does sqrl do? +

Agentic Data Engineering Harness for building data pipelines, data products, data APIs, and data lakes autonomously

What language is sqrl written in? +

The primary language is Java. Topics include: api, data-engineering, data-pipeline, event-driven, harness.

Is sqrl actively maintained? +

Yes, the last recorded push was on Sep 28, 2026 with 57 open issues being tracked.

How many stars does sqrl have? +

sqrl has 229 stars and 29 forks on GitHub.

How does sqrl rank among GitHub repositories? +

With 229 stars, DataSQRL/sqrl is ranked #5,496 globally across all repositories tracked on GitHubRepo and #437 among Java projects.

What license is sqrl distributed under? +

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

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