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AThevon
Home / Swift / TokenEater

AThevon/TokenEater

Native macOS app to monitor AI usage limits and watch your coding sessions live

Swift ◇ anthropic MIT
★505STARS
⑂57FORKS
!4ISSUES
🏆#3,610GLOBAL RANK
🔥6DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for AThevon/TokenEater
CSV

Momentum

+13

STARS · LAST 30 DAYS

1

PER DAY

#217

MOST-STARRED Swift

Window7 days30 days90 days
Stars gained+7+13+90
Per day111
Forks gained+1+3+10

TokenEater gained 13 stars in the last 30 days, about 1 a day, and now has 505. It is about 1 year old and has averaged roughly 505 stars a year. It ranks #217 among Swift repositories and #3,610 across all languages on GitHubRepo.

Trending Record

TokenEater has maintained a continuous presence across global trending indexes, peaking at #682. Below is the 30-day activity profile:

💡 Overview

TokenEater is an open-source project written in Swift: Native macOS app to monitor Claude AI usage limits and watch your coding sessions live.

Engineered for speed, consistency, and developer ease, it solves common hurdles in anthropic, claude, claude-code. 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 Swift 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/AThevon/TokenEater.git
cd TokenEater

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Swift 5.9+ / Xcode 15+ (macOS/Linux)

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

TokenEater coordinates its core functionality through a modular Swift 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

Modern Web Interfaces

Build dynamic, responsive user experiences with component-driven architecture.

Enterprise Design Systems

Standardize design tokens, accessible widgets, and themes across engineering teams.

Interactive Data Dashboards

Render real-time telemetry, user feeds, and analytics with sub-millisecond updates.

Cross-Platform Web Apps

Deploy performant single-page applications optimized for both mobile and desktop browsers.

🚀 Getting Started

1

Install TokenEater using your package manager: `git clone https://github.com/AThevon/TokenEater.git`

2

Initialize your project workspace or configuration file for TokenEater.

3

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

4

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

👍 Strengths

Active community backing with 503 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in Swift 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 Swift 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

💡
Open Source Alternative to OpenAI API & ChatGPT Replaces proprietary subscriptions (Pay-per-token pricing with zero private data guarantees) with self-hosted freedom.
Explore all OpenAI API & ChatGPT alternatives →
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👥 Who Should Use This

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

🏆 Nearby in the Rankings

AThevon/TokenEater is currently ranked #3,610 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#3,600 TerraFirmaGreg-Team/Modpack-Modern JavaScript ★ 509 Compare ↗
#3,606 galtzo-floss/flag_shih_tzu Ruby ★ 508 Compare ↗
#3,606 Desbordante/desbordante-core C++ ★ 508 Compare ↗
#3,606 FoundryMC/Veil Java ★ 508 Compare ↗
#3,609 WilliamSchack/Spotify-Downloader C++ ★ 506 Compare ↗
#3,610 AThevon/TokenEater This Project Swift ★ 505
#3,610 opencast/opencast Java ★ 505 Compare ↗
#3,610 Kong/deck Go ★ 505 Compare ↗
#3,610 ozontech/file.d Go ★ 505 Compare ↗
#3,610 foxminchan/BookWorm C# ★ 505 Compare ↗
#3,615 stdeb/stdeb Python ★ 504 Compare ↗

Frequently Asked Questions

What does TokenEater do? +

Native macOS app to monitor AI usage limits and watch your coding sessions live

What language is TokenEater written in? +

The primary language is Swift. Topics include: anthropic, claude, claude-code, codex, codex-cli.

Is TokenEater actively maintained? +

Yes, the last recorded push was on Sep 26, 2026 with 4 open issues being tracked.

How many stars does TokenEater have? +

TokenEater has 505 stars and 57 forks on GitHub.

How does TokenEater rank among GitHub repositories? +

With 505 stars, AThevon/TokenEater is ranked #3,610 globally across all repositories tracked on GitHubRepo and #217 among Swift projects.

What license is TokenEater distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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