License: MIT claude-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.

Claude Usage Dashboard

Created by: The Product Compass Newsletter

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 (claude command 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

• 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.

No pip install, no virtual environment, no build step.

brew install --formula https://raw.githubusercontent.com/phuryn/claude-usage/main/Formula/claude-usage.rb
claude-usage dashboard

After install, the claude-usage command is on your PATH and accepts the same subcommands as python cli.py (scan, today, stats, dashboard).

git clone https://github.com/phuryn/claude-usage
cd claude-usage
python3 cli.py dashboard

git clone https://github.com/phuryn/claude-usage
cd claude-usage
python cli.py dashboard

On macOS/Linux, use python3 instead of python in all commands below. If you installed via Homebrew, replace python cli.py with claude-usage.

# 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 the last 7 days (per-day breakdown + by-model totals)
python cli.py week
# 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
# Scan a custom projects directory
python cli.py scan --projects-dir /path/to/transcripts

The scanner is incremental — it tracks each file's path and modification time, so re-running scan is fast and only processes new or changed files.

By default, the scanner checks both ~/.claude/projects/ and the Xcode Claude integration directory (~/Library/Developer/Xcode/CodingAssistant/ClaudeAgentConfig/projects/), skipping any that don't exist. Use --projects-dir to scan a custom location instead.

Claude Code writes one JSONL file per session to ~/.claude/projects/. Each line is a JSON record; assistant-type records contain:

• message.usage.input_tokens — raw prompt tokens
• message.usage.output_tokens — generated tokens
• message.usage.cache_creation_input_tokens — tokens written to prompt cache
• message.usage.cache_read_input_tokens — tokens served from prompt cache
• message.model — the model used (e.g. claude-sonnet-4-6)

scanner.py parses those files and stores the data in a SQLite database at ~/.claude/usage.db.

dashboard.py serves a single-page dashboard on localhost:8080 with Chart.js charts (loaded from CDN). It auto-refreshes every 30 seconds and supports model filtering with bookmarkable URLs. The bind address and port can be overridden with HOST and PORT environment variables (defaults: localhost, 8080).

Costs are calculated using Anthropic API pricing as of April 2026 (claude.com/pricing#api).

Only models whose name contains opus, sonnet, or haiku are included in cost calculations. Local models, unknown models, and any other model names are excluded (shown as n/a).

Note: These are API prices. If you use Claude Code via a Max or Pro subscription, your actual cost structure is different (subscription-based, not per-token).

If you'd rather see the dashboard inside your editor, the same UI is available as a VS Code extension. Same data, same charts, embedded as an activity-bar sidebar.

Install from the VS Code Marketplace →

VS Code extension — daily usage VS Code extension — hourly + projects

The Python sources are bundled inside the .vsix, so the only end-user requirement is Python 3.8+ on your PATH. After install, click the gauge icon in the activity bar — the server spawns automatically and the dashboard renders in the sidebar.

See vscode-extension/README.md for settings, commands, discovery order, and local-install instructions.