**claude-usage**
Description
[](LICENSE) [](https://claude.ai/code)
Installation
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open the source below and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
README
Claude Code Usage Dashboard
[](LICENSE) [](https://claude.ai/code)
**Pro and Max subscribers get a progress bar. This gives you the full picture.**
Claude Code writes detailed usage logs locally — token counts, models, sessions, projects — regardless of your plan. This dashboard reads those logs and turns them into charts and cost estimates. Works on API, Pro, and Max plans.
**Created by:** [The Product Compass Newsletter](https://www.productcompass.pm)
What this tracks
Works on **API, Pro, and Max plans** — Claude Code writes local usage logs regardless of subscription type. This tool reads those logs and gives you visibility that Anthropic's UI doesn't provide.
Captures usage from:
- Claude Code CLI (
claudecommand in terminal) - VS Code extension (Claude Code sidebar)
- Dispatched Code sessions (sessions routed through Claude Code)
**Not captured:**
- Cowork sessions — these run server-side and do not write local JSONL transcripts
Requirements
- Python 3.8+
- No third-party packages — uses only the standard library (
sqlite3,http.server,json,pathlib)
Anyone running Claude Code already has Python installed.
Quick Start
No `pip install`, no virtual environment, no build step.
Windows
git clone https://github.com/phuryn/claude-usage
cd claude-usage
python cli.py dashboard
macOS / Linux
git clone https://github.com/phuryn/claude-usage
cd claude-usage
python3 cli.py dashboard
Usage
On macOS/Linux, use `python3` instead of `python` in all commands below.
# Scan JSONL files and populate the database (~/.claude/usage.db)
python cli.py scan
# Show today's usage summary by model (in terminal)
python cli.py today
# Show all-time statistics (in terminal)
python cli.py stats
# Scan + open browser dashboard at http://localhost:8080
python cli.py dashboard
# Custom host and port via environment variables
HOST=0.0.0.0 PORT=9000 python cli.py dashboard
...
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**Generated:** 2026-04-11