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togatoga
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togatoga/karukan

Japanese Input Method System for Linux, macOS, Neural Kana-Kanji Conversion Engine

Rust ◇ fcitx5 Apache-2.0
★735STARS
⑂56FORKS
!23ISSUES
🏆#3,119GLOBAL RANK
🔥3DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for togatoga/karukan
CSV

Momentum

+18

STARS · LAST 30 DAYS

1

PER DAY

#323

MOST-STARRED Rust

Window7 days30 days90 days
Stars gained+7+18+90
Per day111
Forks gained+1+3+10

karukan gained 18 stars in the last 30 days, about 1 a day, and now has 735. It is about 2 years old and has averaged roughly 368 stars a year. It ranks #323 among Rust repositories and #3,119 across all languages on GitHubRepo.

Trending Record

karukan has maintained a continuous presence across global trending indexes, peaking at #2351. Below is the 30-day activity profile:

💡 Overview

karukan is an open-source project written in Rust: Japanese Input Method System for Linux, macOS, Neural Kana-Kanji Conversion Engine.

Engineered for speed, consistency, and developer ease, it solves common hurdles in fcitx5, ime, input-method. 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 karukan

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Rust toolchain (rustc / cargo >= 1.70)

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

karukan 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 karukan 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 karukan using your package manager: `cargo install karukan`

2

Initialize your project workspace or configuration file for karukan.

3

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

4

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

👍 Strengths

Active community backing with 735 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.

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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

togatoga/karukan is currently ranked #3,119 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#3,114 FooBarWidget/default_value_for Ruby ★ 737 Compare ↗
#3,114 DataDog/dd-trace-java Java ★ 737 Compare ↗
#3,114 KKeygen/idv-login Python ★ 737 Compare ↗
#3,114 dahlia/optique TypeScript ★ 737 Compare ↗
#3,118 okf-memory/okf-agent-memory Go ★ 736 Compare ↗
#3,119 togatoga/karukan This Project Rust ★ 735
#3,119 enzonotario/dolarapi.com JavaScript ★ 735 Compare ↗
#3,119 ashish0kumar/stormy Go ★ 735 Compare ↗
#3,119 qiz029/dscode JavaScript ★ 735 Compare ↗
#3,123 lynx-family/lynx-stack TypeScript ★ 734 Compare ↗
#3,124 threatexpert/gonc Go ★ 732 Compare ↗

Frequently Asked Questions

What does karukan do? +

Japanese Input Method System for Linux, macOS, Neural Kana-Kanji Conversion Engine

What language is karukan written in? +

The primary language is Rust. Topics include: fcitx5, ime, input-method, inputmethod, japanese.

Is karukan actively maintained? +

Yes, the last recorded push was on Sep 26, 2026 with 23 open issues being tracked.

How many stars does karukan have? +

karukan has 735 stars and 56 forks on GitHub.

How does karukan rank among GitHub repositories? +

With 735 stars, togatoga/karukan is ranked #3,119 globally across all repositories tracked on GitHubRepo and #323 among Rust projects.

What license is karukan distributed under? +

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

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