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Quality metrics for AI-assisted development — measure and improve your Claude Code sessions

Project description

Qualito

Quality metrics for AI-assisted development. Know if your Claude Code sessions are worth the cost.

PyPI Python License

What it does

Qualito analyzes your Claude Code sessions and gives you a DQI score (Delegation Quality Index) — a composite metric that measures how effectively you're using AI assistance. It tracks cost, duration, success rate, and quality across every session.

  • Import existing Claude Code sessions — no behavior change needed
  • Score each session with a DQI composite (0-100)
  • Track costs, detect incidents, monitor quality trends
  • Set SLOs and get alerts when quality drops
  • Run experiments to compare different approaches

Quick Start

# Install
pip install qualito

# Initialize in your project
cd your-project
qualito init

# Import your Claude Code sessions
qualito import

# Score them
qualito score

# See results
qualito status

Every Claude Code user already has session data at ~/.claude/projects/. Qualito reads it — you'll see your first scores in under 2 minutes.

Cloud Dashboard

# Authenticate with qualito.ai
qualito login

# Push data to cloud
qualito sync

# Open dashboard
# → https://app.qualito.ai

Free tier: 100 runs/month, 3 workspaces. Pro ($29/mo): unlimited.

CLI Commands

Command What it does
qualito init Initialize Qualito in your project
qualito import Import Claude Code session logs
qualito score Calculate DQI scores for imported runs
qualito status Show current DQI status
qualito costs Cost breakdown and waste analysis
qualito incidents Active quality incidents
qualito slo SLO compliance check
qualito dashboard Launch local web dashboard
qualito login Authenticate with qualito.ai
qualito sync Push local data to cloud
qualito logout Remove cloud credentials

MCP Server

Use Qualito inline in your editor via MCP:

{
  "mcpServers": {
    "qualito": {
      "command": "uvx",
      "args": ["qualito-mcp"]
    }
  }
}

7 tools available: dqi_score, dqi_cost, dqi_patterns, dqi_warnings, dqi_templates, dqi_incidents, dqi_slo.

Local Development

git clone https://github.com/mp-web3/qualito.git
cd qualito
uv sync --extra dev --extra dashboard

# Run tests
uv run pytest

# Local dashboard
uv run qualito dashboard

License

MIT

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