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Claude Analytics provides a complete suite of features to help you understand your coding patterns, track your productivity, and optimize your workflow with Claude.

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Core Features

Activity Tracking

Visualize your daily coding activity with an interactive heatmap and hourly breakdown

Session Explorer

Browse and search through all your coding sessions with detailed metrics

Model Analytics

Track token usage, costs, and performance across different Claude models

Cost Tracking

Monitor your API costs with detailed breakdowns by model and usage type

Tool Usage

Analyze which tools and languages you use most frequently

Prompt History

Search and browse your complete prompt history across all sessions

Multi-Profile

Compare analytics across different Claude profiles or workspaces

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Dashboard Components

The analytics dashboard is built from several interconnected components:

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Stats Overview

Get a high-level view of your coding activity with key metrics:
  • Total Sessions: Number of coding sessions and total time spent
  • Messages: Total messages exchanged with Claude
  • Tool Calls: Number of tool executions across all sessions
  • Lines Changed: Code additions and deletions
  • Files Modified: Number of files edited with commit counts
  • Average Session: Typical session duration and longest session
  • Total Cost: API costs across all models
Each metric card is clickable and navigates to the relevant detailed view.

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Data Sources

Claude Analytics derives insights from:
  • Session metadata: Stored in ~/.config/Claude Code/sessions/
  • Message logs: Complete conversation history for each session
  • Prompt history: Global prompt history from ~/.config/Claude Code/User/History/
  • Stats cache: Pre-computed aggregated statistics for performance
All data is processed locally on your machine. No information is sent to external servers.
The dashboard uses a tab-based navigation system with five main sections:
  1. Activity: Heatmaps, hourly patterns, and project breakdowns
  2. Sessions: Searchable list of all coding sessions
  3. Models: Token usage charts and cost analysis
  4. Tools: Tool and language usage statistics
  5. Prompts: Searchable prompt history
You can also filter all data by specific projects using the project selector in the header.

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Next Steps

Explore each feature in detail:

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