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thillerson/learning-lift

Dorking around with lift

★2STARS
⑂0FORKS
!4ISSUES
🏆#23,805GLOBAL RANK
🔥20DAYS TRENDING
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#58

MOST-STARRED Scala

Window7 days30 days90 days
Stars gained+0+10+90
Per day111
Forks gained+0+3+10

learning-lift gained 10 stars in the last 30 days, about 1 a day, and now has 2. It is about 17 years old and has averaged roughly 0 stars a year. It ranks #58 among Scala repositories and #23,805 across all languages on GitHubRepo.

Trending Record

learning-lift has maintained a continuous presence across global trending indexes, peaking at #100. Below is the 30-day activity profile:

💡 Overview

learning-lift is an open-source project written in Scala: Dorking around with lift.

Engineered for speed, consistency, and developer ease, it solves common hurdles in Scala. 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 Scala 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/thillerson/learning-lift.git
cd learning-lift

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Scala environment and standard tooling

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

learning-lift coordinates its core functionality through a modular Scala 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 learning-lift into Scala 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 source license.

🚀 Getting Started

1

Install learning-lift using your package manager: `git clone https://github.com/thillerson/learning-lift.git`

2

Initialize your project workspace or configuration file for learning-lift.

3

Import learning-lift into your codebase or invoke it directly from your terminal.

4

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

👍 Strengths

Active community backing with 2 GitHub stars and verified adoption.
Permissive open-source distribution under the Open Source license.
Built in Scala 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 Scala 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 Scala, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

thillerson/learning-lift is currently ranked #23,805 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#22,108 matschaffer/mechaflickr Ruby ★ 3 Compare ↗
#22,108 gnu-lorien/crapvine Python ★ 3 Compare ↗
#22,108 francois/fogbugz-svnhook — ★ 3 Compare ↗
#22,108 anildigital/getfake Ruby ★ 3 Compare ↗
#22,108 mudge/blankable Ruby ★ 3 Compare ↗
#23,805 thillerson/learning-lift This Project Scala ★ 2
#23,805 pdsphil/ruby-merlin Ruby ★ 2 Compare ↗
#23,805 daaku/tempdir Ruby ★ 2 Compare ↗
#23,805 morgs/poll-builder Python ★ 2 Compare ↗
#23,805 locusf/monotooth HTML ★ 2 Compare ↗
#23,805 xman/utility Shell ★ 2 Compare ↗

Frequently Asked Questions

What does learning-lift do? +

Dorking around with lift

What language is learning-lift written in? +

The primary language is Scala. Topics include: software.

Is learning-lift actively maintained? +

Yes, the last recorded push was on Jun 29, 2022 with 4 open issues being tracked.

How many stars does learning-lift have? +

learning-lift has 2 stars and 0 forks on GitHub.

How does learning-lift rank among GitHub repositories? +

With 2 stars, thillerson/learning-lift is ranked #23,805 globally across all repositories tracked on GitHubRepo and #58 among Scala projects.

What license is learning-lift distributed under? +

No SPDX license identified yet. Code without a license is subject to copyright by default.

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