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taylorrf/learnhaskell

Projeto de tradução do livro "Learn You a Haskell for Great Good!"

★134STARS
⑂50FORKS
!4ISSUES
🏆#7,417GLOBAL RANK
🔥40DAYS TRENDING
🚀
Maintainer Growth Kit for learnhaskell

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Star History

Continuous Observations
Interactive star growth chart for taylorrf/learnhaskell
CSV

Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#7,417

MOST-STARRED ALL

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

learnhaskell gained 10 stars in the last 30 days, about 1 a day, and now has 134. It is about 18 years old and has averaged roughly 7 stars a year. It ranks #7,417 among tracked repositories and #7,417 across all languages on GitHubRepo.

Trending Record

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

💡 Overview

learnhaskell is an open-source project written in modern software: Projeto de tradução do livro "Learn You a Haskell for Great Good!".

Engineered for speed, consistency, and developer ease, it solves common hurdles in software development. 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 modern technologies 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/taylorrf/learnhaskell.git
cd learnhaskell

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Multi-language environment and standard tooling

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

learnhaskell coordinates its core functionality through a modular code 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 learnhaskell into Code 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 learnhaskell using your package manager: `git clone https://github.com/taylorrf/learnhaskell.git`

2

Initialize your project workspace or configuration file for learnhaskell.

3

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

4

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

👍 Strengths

Active community backing with 134 GitHub stars and verified adoption.
Permissive open-source distribution under the Open Source license.
Built in standard technologies 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 the underlying ecosystem 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 modern software, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

taylorrf/learnhaskell is currently ranked #7,417 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#7,390 xiajiajun516/dsh-config-manager TypeScript ★ 135 Compare ↗
#7,390 techflag/workdsh TypeScript ★ 135 Compare ↗
#7,390 2giosangmitom/sqmeow.nvim Rust ★ 135 Compare ↗
#7,390 HeyPuter/builder JavaScript ★ 135 Compare ↗
#7,390 ThinkFlowLab/system1-agents Python ★ 135 Compare ↗
#7,417 taylorrf/learnhaskell This Project — ★ 134
#7,417 aasmith/feed-normalizer Ruby ★ 134 Compare ↗
#7,417 leonho/iphone-libs Objective-C ★ 134 Compare ↗
#7,417 ealdent/lda-ruby Ruby ★ 134 Compare ↗
#7,417 mct/tcptraceroute C ★ 134 Compare ↗
#7,417 xroche/httrack-windows C++ ★ 134 Compare ↗

Frequently Asked Questions

What does learnhaskell do? +

Projeto de tradução do livro "Learn You a Haskell for Great Good!"

What language is learnhaskell written in? +

GitHub does not specify a single primary language.

Is learnhaskell actively maintained? +

Yes, the last recorded push was on Oct 7, 2019 with 4 open issues being tracked.

How many stars does learnhaskell have? +

learnhaskell has 134 stars and 50 forks on GitHub.

How does learnhaskell rank among GitHub repositories? +

With 134 stars, taylorrf/learnhaskell is ranked #7,417 globally across all repositories tracked on GitHubRepo.

What license is learnhaskell distributed under? +

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

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