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leeguooooo claude-code-usage-bar

Lightweight Claude Code statusLine: 5h/7d rate-limit usage, reset countdowns, model + context window, prompt-cache age — one line, 3 styles × 9 themes, daemon fast-mode

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Python

License: MIT License

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  • popularity 44
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  • activity 75
  • freshness 100
  • community 90

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Claude Status Bar

Your Claude Code usage, at a glance. 5h / 7d rate-limit bars, reset countdowns, model, context window, and prompt-cache freshness — inline in Claude Code's status line, or a floating HUD on the desktop app.

PyPI Downloads Python CI License: MIT GitHub stars

English · 简体中文 · Install · Documentation

claude-statusbar live demo

Important

macOS standalone users should upgrade to v3.32.5 now. Older onefile releases could leave a new ~11 MB PyInstaller _MEI* runtime directory on every one-second refresh that was killed during startup. Re-running the installer switches to an onedir bundle and safely removes inactive leftovers: curl -fsSL https://raw.githubusercontent.com/leeguooooo/claude-code-usage-bar/main/install.sh | bash

Claude Code tells you almost nothing about where you stand against your rate limits. claude-statusbar puts the numbers that matter on one quiet line at the bottom of your terminal — so you never switch context to a separate window to answer "how much have I got left, and when does it reset?"

Features

  • Official 5h / 7d usage — the same rate-limit numbers Claude Code enforces, with reset countdowns and end-of-window projections (→NN%), not a local guess.
  • Model & context window — current model and how full the context is (Opus 4.8 · 350k/1M).
  • Prompt-cache countdown — see how long your cache stays warm (cache 4m23s) so you know when the next turn pays full price.
  • Cost & balance — optional per-session cost, or live relay/API balance in no-quota setups.
  • Two surfaces — inline statusLine in the terminal, or an always-on-top floating HUD for the Claude desktop app (macOS).
  • 3 styles × 9 themes — switch the whole look with one command: battery-bar, capsule, or hairline.
  • Fast by design — an optional daemon renders in well under 1% CPU even at a 1-second refresh.
  • More when you want it — git branch & diff stats, session activity, AgentParty/Codex presence, IELTS writing-coach progress — each opt-in.
  • Zero-dependency install — a single prebuilt binary (no Python needed) or a pip package. Auto-updates.

Install

Claude Code (terminal)

One line — no Python, no pip. Downloads a prebuilt standalone binary for your platform (macOS Apple Silicon, Linux x86_64) and wires up the status line:

curl -fsSL https://raw.githubusercontent.com/leeguooooo/claude-code-usage-bar/main/install.sh | bash

Security-conscious? Download and read it first — the header lists exactly what it touches. On platforms without a prebuilt binary it falls back to pip.

On macOS this one line does everything — it wires the terminal statusLine and, if the Claude desktop app is installed, registers the floating desktop HUD to auto-start on login. The macOS binary bundles the HUD, so there's no separate pip install '[hud]' and no extra config.

Prefer pip / uv, or want the desktop HUD extra? Install the Python package:

pip install claude-statusbar     # or: uv tool install / pipx install
cs --setup                       # wires the statusLine hook + installs the skill

Restart Claude Code and the bar appears at the bottom. Other paths (skill-only, plugin marketplace, Codex/AgentParty bridge) are in the install guide.

Deep dive: Is that cache 4m23s line actually accurate? — how the prompt-cache countdown is computed

Claude desktop app (macOS) — cs hud

The desktop app has no status line, so cs hud adds an always-on-top floating panel with the same official 5h / 7d usage (sampled by the desktop app itself, not an estimate) and your active AgentParty channels.

If you used the curl … install.sh | bash one-liner above, the HUD is already installed — the macOS binary bundles it and the installer auto-registers it when the desktop app is present. The commands below are only for a manual/pip setup:

pip install 'claude-statusbar[hud]'   # adds PyObjC (macOS GUI deps)
cs hud install                        # launchd: auto-start on login + keep-alive
collapsed HUD pill expanded HUD panel

Collapsed pill → click to expand → drag anywhere; it hides when the desktop app isn't open. Full details in the Desktop HUD guide.

What it shows

The default bar — classic style, graphite theme:

default status bar

At a full refresh it can render up to three lines, each segment optional:

Line Segments
Usage 5h / 7d rate-limit bars, reset countdowns, end-of-window projections (→NN%), model & context window, prompt-cache countdown, optional session cost or relay balance
Project git worktree marker (⑂ name (3) / ⑂ trunk (3) with the repo's worktree total, its own hue, leads the line), project name, git branch, session +/− lines, duration, version
Mode session effort / thinking / fast / style

Every icon, color threshold, and toggle is documented in the segment reference. Nine themes and three styles are in styles & themes.

Documentation

Guide What's inside
Install Binary, PyPI, one-shot installer, skill-only, plugin, Codex bridge
What it shows Full per-segment reference table
Styles & themes 3 styles × 9 themes, previews, slash commands
Configuration Config file, all show_* keys, env vars, JSON output, CLI cheatsheet
Desktop HUD (cs hud) macOS floating panel for the Claude desktop app
Fast mode (daemon) Sub-1% CPU daemon, launchd / systemd auto-start
No-quota mode Relay / Bedrock / Vertex layout, context battery, balance
AgentParty / Codex bridge Local workspace-presence line
Cache countdown Data source + how cache 4m23s is computed
Troubleshooting cs doctor, common problems, upgrading

Comparison

There are a few good Claude Code usage monitors. They solve overlapping but distinct problems — pick the one that matches where you want the information.

Tool Lives in Optimized for
claude-statusbar (cs) Claude Code's statusLine (one line at the bottom) Glanceable while you work; zero context-switching
ccusage Standalone TUI in a separate terminal window Long-form usage analytics, cost breakdowns over weeks
Claude Code Usage Monitor Standalone TUI with predictive burn-rate Real-time burn-rate forecast for paid plans

cs is intentionally one line of color and one decision per second. If you want a dashboard with charts, daily/weekly aggregates, and burn-rate prediction, run a TUI in a side pane. The two coexist nicely.

Integrations

prompt-language-coach — install the plugin to track IELTS band progress. The bar then shows your writing level and trend automatically (no config; appears when ~/.claude/language-progress.json exists):

... | Opus 4.8(350k/1M) | EN:6.0↑ JA:5.0→

improved · dropped · no change since last session.

Contributing

PRs welcome. The full contributor guide — local setup, test commands, architecture map, coding conventions, release flow — is in CONTRIBUTING.md. Security issues: SECURITY.md.

git clone https://github.com/leeguooooo/claude-code-usage-bar
cd claude-code-usage-bar
uv sync
PYTHONPATH=src uv run pytest tests/   # 900+ tests, ~3s

The render path is hot (up to 60×/min at refreshInterval: 1) — tests/test_import_perf.py pins which modules can't be imported on the fast path. Read CONTRIBUTING.md before adding dependencies.

Every version's changes: CHANGELOG.md · GitHub Releases.

Acknowledgments

  • @marcwimmer — original show_cache_age widget (#9)
  • claude-monitor — token-usage analysis library used as the optional fast-path data source
Contributors

Star history

Star history

Static snapshot taken at v3.3.x; click for the live chart.


MIT © leeguooooo · Built for people who live in Claude Code.

Created: Aug 20, 2025

Last push: Sep 1, 2026

Default branch: main

Latest release: v3.41.0

Languages

Share of the codebase by language, based on repository metadata from the host.

  • Python 96.3%
  • Shell 3.6%
  • Tape 0.1%

Repository Radar analysis

Deterministic insights derived from public metadata and our observations — not personal testing or reviews.

Why this repository is interesting

  • Maintained recently (last push 3 weeks ago).

Who should use it

  • Developers working primarily with Python
  • Teams exploring AI tooling, agents, or ML infrastructure

Potential use cases

  • Reference or evaluate Python open-source approaches in this domain
  • Prototype AI/agent workflows or study reference architectures

Strengths

  • Recent repository activity
  • README present in our index
  • Declared license: MIT License

Limitations / considerations

  • Insights are derived from public metadata and our observations — not a substitute for code review

What to watch

  • Re-check last push, issues, and releases on GitHub before production adoption

Strong signals: Active maintenance

Source: GitHub (public metadata) + Repository Radar analysis. We do not claim ownership of third-party repositories.

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