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claudepeek

v1.0.4

Published

Local dashboard for visualising Claude Code token usage and estimated costs. Built with Claude Code (AI-generated).

Readme

claudepeek

A local dashboard for visualising your Claude Code token usage and estimated costs.

npx claudepeek

Note: All cost figures are estimates calculated from token counts × Anthropic list prices. They are not your actual invoice. For billing, check console.anthropic.com.

Requirements

  • Node.js v18 or later
  • Claude Code installed and used at least once (so local usage files exist)

Usage

No install — run directly:

npx claudepeek

Or install globally:

npm install -g claudepeek
claudepeek

Opens http://localhost:3737 automatically.

Options:

--port <number>   Use a different port (default: 3737)
--no-open         Don't open the browser automatically

What it shows

| Tab | What you see | |---|---| | Overview | Summary cards, daily spend chart (stacked by model), model cost breakdown, top 10 most expensive days | | Daily | Full day-by-day breakdown with token type columns | | Sessions | All-time cost per project folder (not date-filtered) | | Monthly | Month-by-month summary cards and chart | | Budget | Progress against a monthly budget, burn rate, projections, and scenarios | | About | Explanation of how the tool works and what the numbers mean |

Filtering by date

Use the preset buttons in the header (Today, Last 7 days, This month, etc.) or enter a custom date range. The filter applies to Overview, Daily, and Monthly. Sessions always show all-time totals.

Budget

Set your monthly budget amount and reset day in the Budget tab. Settings are saved in your browser's localStorage and persist across visits.

How it works

Reads ~/.claude/projects/**/*.jsonl — the conversation files Claude Code writes locally — via npx ccusage. A tiny Node.js server (no dependencies) serves the data as a local JSON API. Nothing leaves your machine.

Running from source

git clone https://github.com/martinpenabad/claudepeek
cd claudepeek
node server.js

Or double-click start.command (macOS) / start.bat (Windows).


This project was built with Claude Code (AI-generated). The source code was written through a conversation with Claude and reviewed by a human.