macOS menu bar & Windows tray app pinning Claude Code, Codex, Antigravity & Grok CLI quota, burn rate, and cost to your screen. Local-first, no LLM API calls. HTML reports, 14 themes.
Star History
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Keep your repository README looking professional and dynamic. As our continuous crawler records new stars, these official SVG badges update in real time with zero maintenance.
Renders your high-resolution star trajectory chart right inside your GitHub README or project docs.
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[](https://githubrepo.cloud/repo/aqua5230/usage?utm_source=readme_badge) [](https://githubrepo.cloud/repo/aqua5230/usage?utm_source=readme_badge) [](https://githubrepo.cloud/repo/aqua5230/usage?utm_source=readme_badge)Momentum
+10
STARS · LAST 30 DAYS
1
PER DAY
#870
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
usage gained 10 stars in the last 30 days, about 1 a day, and now has 332. It is about 1 year old and has averaged roughly 332 stars a year. It ranks #870 among Python repositories and #7,051 across all languages on GitHubRepo.
Trending Record
1
DAYS ON TRENDING
#6784
BEST RANK
Oct 3, 2026
FIRST APPEARANCE
Active
STATUS TODAY
usage has maintained a continuous presence across global trending indexes, peaking at #6784. Below is the 30-day activity profile:
💡 Overview
usage is an open-source project written in Python: macOS menu bar & Windows tray app pinning Claude Code, Codex, Antigravity & Grok CLI quota, burn rate, and cost to your screen. Local-first, no LLM API calls. HTML reports, 14 themes.
Engineered for speed, consistency, and developer ease, it solves common hurdles in ai-tools, anthropic, catppuccin. 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 Python 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
$ pip install usage⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
usage coordinates its core functionality through a modular Python 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 usage.
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 usage using your package manager: `pip install usage`
Initialize your project workspace or configuration file for usage.
Import usage into your codebase or invoke it directly from your terminal.
Execute your test suite or run `usage --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
aqua5230/usage is currently ranked #7,051 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #7,044 | yogeshwaran01/github-stats-terminal-style | TypeScript | ★ 333 | Compare ↗ |
| #7,044 | sailfishos/sailfish-browser | C++ | ★ 333 | Compare ↗ |
| #7,044 | braintree/braintree_node | JavaScript | ★ 333 | Compare ↗ |
| #7,044 | william-os4y/fapws3 | Python | ★ 333 | Compare ↗ |
| #7,044 | alexgutteridge/rsruby | Ruby | ★ 333 | Compare ↗ |
| #7,051 | aqua5230/usage This Project | Python | ★ 332 | |
| #7,051 | wrr/drop | Go | ★ 332 | Compare ↗ |
| #7,051 | TokenFlux/TokenRouter | Go | ★ 332 | Compare ↗ |
| #7,051 | novoid/filetags | Python | ★ 332 | Compare ↗ |
| #7,051 | zeroc-ice/ice-demos | C++ | ★ 332 | Compare ↗ |
| #7,051 | gardener/etcd-backup-restore | Go | ★ 332 | Compare ↗ |
Frequently Asked Questions
What does usage do? +
macOS menu bar & Windows tray app pinning Claude Code, Codex, Antigravity & Grok CLI quota, burn rate, and cost to your screen. Local-first, no LLM API calls. HTML reports, 14 themes.
What language is usage written in? +
The primary language is Python. Topics include: ai-tools, anthropic, catppuccin, claude, claude-code.
Is usage actively maintained? +
Yes, the last recorded push was on Oct 3, 2026 with 1 open issues being tracked.
How many stars does usage have? +
usage has 332 stars and 59 forks on GitHub.
How does usage rank among GitHub repositories? +
With 332 stars, aqua5230/usage is ranked #7,051 globally across all repositories tracked on GitHubRepo and #870 among Python projects.
What license is usage distributed under? +
The repository reports a AGPL-3.0 license. Always verify the repository LICENSE file for legal terms.
