Nanako0129/syrtis
AI token usage & quota monitor for the macOS menu bar — native Swift, Liquid Glass, 3D contribution graph. Tracks Claude Code, Codex, Cursor, OpenCode & 25+ agents locally.
Star History
Momentum
+10
STARS · LAST 30 DAYS
1
PER DAY
#247
MOST-STARRED Swift
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
syrtis gained 10 stars in the last 30 days, about 1 a day, and now has 376. It is about 1 year old and has averaged roughly 376 stars a year. It ranks #247 among Swift repositories and #4,069 across all languages on GitHubRepo.
Trending Record
6
DAYS ON TRENDING
#548
BEST RANK
Sep 23, 2026
FIRST APPEARANCE
Active
STATUS TODAY
syrtis has maintained a continuous presence across global trending indexes, peaking at #548. Below is the 30-day activity profile:
💡 Overview
TokenBar is an open-source project written in Swift: AI token usage & quota monitor for the macOS menu bar — native Swift, Liquid Glass, 3D contribution graph. Tracks Claude Code, Codex, Cursor, OpenCode & 25+ agents locally.
Engineered for speed, consistency, and developer ease, it solves common hurdles in ai-usage, claude-code, codex. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Swift for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ git clone https://github.com/Nanako0129/TokenBar.git
cd TokenBar⚙ 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
TokenBar 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
Autonomous AI Agents
Orchestrate intelligent workflows and tool-calling routines with TokenBar.
Model Inference & Prompting
Integrate fast, local or cloud-hosted generative AI models directly into production code.
Context Memory & RAG
Augment language models with dynamic vector retrieval and structured project memory.
Developer Productivity
Automate repetitive engineering tasks, code generation, and test creation using AI agents.
🚀 Getting Started
Install TokenBar using your package manager: `git clone https://github.com/Nanako0129/TokenBar.git`
Initialize your project workspace or configuration file for TokenBar.
Import TokenBar into your codebase or invoke it directly from your terminal.
Execute your test suite or run `TokenBar --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 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
Nanako0129/syrtis is currently ranked #4,069 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #4,061 | tomquist/AstraMeter | Python | ★ 378 | Compare ↗ |
| #4,065 | getgrav/grav-plugin-admin | PHP | ★ 377 | Compare ↗ |
| #4,065 | mytechnotalent/Go-Hacking | Go | ★ 377 | Compare ↗ |
| #4,065 | XPolicyLab/XPolicyLab | Python | ★ 377 | Compare ↗ |
| #4,065 | physiclaw/PhysiClaw | Python | ★ 377 | Compare ↗ |
| #4,069 | Nanako0129/syrtis This Project | Swift | ★ 376 | |
| #4,069 | puppetlabs/puppetlabs-mysql | Ruby | ★ 376 | Compare ↗ |
| #4,069 | couchbase/gocb | Go | ★ 376 | Compare ↗ |
| #4,069 | allure-framework/allure-java | Java | ★ 376 | Compare ↗ |
| #4,069 | Epodonios/bulk-xray-v2ray-vless-vmess-...-configs | Python | ★ 376 | Compare ↗ |
| #4,069 | freefrank/LostOdysseyRecomp | C++ | ★ 376 | Compare ↗ |
Frequently Asked Questions
What does syrtis do? +
AI token usage & quota monitor for the macOS menu bar — native Swift, Liquid Glass, 3D contribution graph. Tracks Claude Code, Codex, Cursor, OpenCode & 25+ agents locally.
What language is syrtis written in? +
The primary language is Swift. Topics include: ai-usage, claude-code, codex, liquid-glass, macos.
Is syrtis actively maintained? +
Yes, the last recorded push was on Sep 27, 2026 with 14 open issues being tracked.
How many stars does syrtis have? +
syrtis has 376 stars and 37 forks on GitHub.
How does syrtis rank among GitHub repositories? +
With 376 stars, Nanako0129/syrtis is ranked #4,069 globally across all repositories tracked on GitHubRepo and #247 among Swift projects.
What license is syrtis distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
