Skip to main content

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, 1 workspace. 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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

qualito-0.1.2.tar.gz (257.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

qualito-0.1.2-py3-none-any.whl (106.8 kB view details)

Uploaded Python 3

File details

Details for the file qualito-0.1.2.tar.gz.

File metadata

  • Download URL: qualito-0.1.2.tar.gz
  • Upload date:
  • Size: 257.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.10.5 {"installer":{"name":"uv","version":"0.10.5","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"macOS","version":null,"id":null,"libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}

File hashes

Hashes for qualito-0.1.2.tar.gz
Algorithm Hash digest
SHA256 2d4e3192dce09638f8abe56d9913f6c7d6750c0acb44a212944963cd56274665
MD5 2591ddeaba3f5ec9290419667cbf2aea
BLAKE2b-256 122c90dffc759be80407351a2d48821cc28a348018c66baca5558f320a48b145

See more details on using hashes here.

File details

Details for the file qualito-0.1.2-py3-none-any.whl.

File metadata

  • Download URL: qualito-0.1.2-py3-none-any.whl
  • Upload date:
  • Size: 106.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.10.5 {"installer":{"name":"uv","version":"0.10.5","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"macOS","version":null,"id":null,"libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}

File hashes

Hashes for qualito-0.1.2-py3-none-any.whl
Algorithm Hash digest
SHA256 96e978e15ac9f9fac63af6941b8812a14726670167678584ef82c5ba716b3804
MD5 39584f5537976b80ddb79f6a80ddaf4a
BLAKE2b-256 8c5f6dab148d58663c1a67a8c7ab957b41de659dea0dda87f5d51c24b9b0d615

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page