scori 0.7.1

Software Composition Risk Intelligence — score the real cost of updating a dependency

scori

Software Composition Risk Intelligence — Know the cost before you update.

Free tools like pip-audit, OSV-Scanner, and Dependabot detect vulnerabilities and open update PRs — but none of them answer the question that matters: is it worth updating this lib right now, or does the migration cost outweigh the risk of not doing it? scori quantifies that friction as a single 0–100 score per dependency, using public data from PyPI, GitHub, and the OSV vulnerability database.

Install

pip install scori
# or
uv add scori

Usage

# Show friction scores for every dependency
scori friction --path .
scori friction --path . --format json > report.json
scori friction --path . --format cyclonedx > sbom.cdx.json  # CycloneDX 1.5 SBOM
scori friction --path . --format html        # writes scori-report.html
scori friction --path . --format markdown    # markdown table (GitHub / PR comments)
scori friction --path . --ci                 # exit 1 if any score > 75
scori friction --path . --ci --threshold 50  # stricter gate
scori friction --path . --summarise          # LLM plain-language summary per update
scori friction --path . --stub-diff          # diff .pyi stubs for API removal signals (slow)

# Show only dependencies with updates available, sorted by friction
scori monitor --path .
scori monitor --path . --watch               # re-check every 5 minutes
scori monitor --path . --watch --interval 60 # re-check every 60 s

# Preview and apply dependency version updates
scori update --path . --dry-run              # show what would change
scori update --path . --apply                # write changes + create backup
scori update --path . --apply --max-friction medium  # only Low/Medium deps
scori update --path . --rollback             # restore from last backup

# Generate a standalone report
scori report --path .                        # writes scori-report.html
scori report --path . --format json          # prints JSON to stdout
scori report --path . --output out.html      # custom output path
scori report --path . --ci --threshold 60    # exit 1 if any score > 60

# Score history and trends
scori history --path .                       # last 10 snapshots with ↑↓ trend per dep
scori history --path . --limit 20            # last 20 snapshots

# Recommended update order
scori order --path .                         # rank deps by update priority + conflict warnings
scori order --path . --stub-diff             # include .pyi stub diff signals in ranking

# Open a GitHub PR with the recommended updates (requires GITHUB_TOKEN)
scori fix --path .                           # dry run: preview PR contents
scori fix --path . --apply                   # create the PR
scori fix --path . --apply --max-friction low  # only safe (Low) updates

# List all detected dependencies
scori scan --path .

Example output (scori friction --format table, with color indicators):

                          scori — friction scores
┌───────────┬─────────┬─────────┬───────┬───────┬──────────┬─────────┐
│ Package   │ Current │ Latest  │ Jump  │ Score │ Label    │  Vuln   │
├───────────┼─────────┼─────────┼───────┼───────┼──────────┼─────────┤
│ django    │ 3.2.0   │ 5.1.0   │ major │  78   │ Critical │ 3 → 0 ✓ │
│ nltk      │ 3.8.1   │ 3.9.4   │ minor │  35   │ Medium   │ 9 → 0 ✓ │
│ requests  │ 2.31.0  │ 2.32.3  │ patch │   8   │ Low      │    —    │
└───────────┴─────────┴─────────┴───────┴───────┴──────────┴─────────┘

The Vuln column shows known vulnerabilities (CVE/CWE) in your current version and whether they are fixed in the latest release:

• 9 → 0 ✓ — 9 vulns in current, all fixed in latest (prioritize this update)
• 3 — 3 vulns, still present in latest (update won't help with security)
• — — no known vulnerabilities in either version

When CWE IDs are present in OSV data, scori maps them to OWASP Top 10 2021 categories (e.g. CWE-79 → A03 Injection).

scori monitor shows only the packages that have a newer release available, sorted by friction score (highest first), and marks with ★ any package where updating also fixes known CVEs.

When a package has CVEs that are not fixed in the latest version, scori searches PyPI online for alternatives with 0 known vulnerabilities and suggests them below the table:

⚠ Unresolved CVEs — consider these alternatives:
  python-jose (3 CVEs, not fixed in latest) → joserfc, authlib
  requests    (1 CVE,  not fixed in latest) → httpx

Alternatives are discovered dynamically: scori extracts keywords from the vulnerable package's PyPI metadata, searches for similar packages, and verifies each candidate against the OSV database before suggesting it. No hardcoded list — any package on PyPI is a potential alternative.

How it works

The friction score is a weighted sum of six components (max 100):

Component	Max weight	Logic
Semantic version jump	50	patch=5, minor=25, major=50
Breaking signals in changelog	20	+4 per keyword found in release notes or CHANGELOG
Affected transitive dependencies	15	+3 per reverse dep (from uv.lock/poetry.lock)
CVEs fixed by updating	15	+3 per fixed CVE (CRITICAL CVEs count double)
Months without updating in project	10	+1 per month (max 10)
Current version yanked	5	+5 if yanked: true in PyPI API

Labels:

• 0–25 → Low → Safe to update
• 26–50 → Medium → Update with tests
• 51–75 → High → Update in isolated branch
• 76–100 → Critical → Manual migration required

CVE data is fetched from the OSV database (free, no auth required). CVEs that are fixed by updating contribute up to +15 points to the friction score. CRITICAL-severity CVEs (CVSS ≥ 9.0, as reported by the GitHub Advisory Database) count double, so the most dangerous vulnerabilities push the package higher in your update queue. CVEs that remain in the latest version do not affect the score (updating won't help with those).

Transitive dependency counts are read directly from uv.lock or poetry.lock when present — no more always-zero placeholder.

Data sources

Source	Data
https://pypi.org/pypi/{pkg}/json	Latest version, release dates, yanked status
https://api.github.com/repos/{owner}/{repo}/releases	Release notes for breaking signal detection
https://raw.githubusercontent.com/…/CHANGELOG.md	CHANGELOG for additional breaking signal scanning
https://api.osv.dev/v1/query	Known CVEs per version with severity

Set GITHUB_TOKEN in your environment to raise the GitHub API rate limit from 60/h to 5000/h. PyPI and GitHub release data is cached in ~/.cache/scori/ for 1 hour. OSV results are cached in memory for the duration of a single run.

Version resolution

For pinned dependencies (fastapi==0.115.8), the pinned version is used directly. For unpinned dependencies, scori resolves the installed version from (in order): local venv (.venv/, venv/, env/), active conda environment (conda list --json), active pyenv Python (.python-version). Falls back to 0.0.0 when none of these resolve.

GitHub Actions

Add scori to any workflow in one step:

- uses: pauloestevao795/scori@v0.6.0
  with:
    threshold: '75'       # fail if any dep score exceeds this (default: 75)
    comment-pr: 'true'    # post friction table as a PR comment
    github-token: ${{ secrets.GITHUB_TOKEN }}

Full example — gate PRs that touch dependency files:

name: scori friction check
on:
  pull_request:
    paths:
      - 'requirements*.txt'
      - 'pyproject.toml'
      - 'setup.cfg'

jobs:
  friction:
    runs-on: ubuntu-latest
    permissions:
      pull-requests: write
    steps:
      - uses: actions/checkout@v4
      - uses: pauloestevao795/scori@v0.6.0
        with:
          threshold: '75'
          comment-pr: 'true'
          github-token: ${{ secrets.GITHUB_TOKEN }}

Pre-commit hook

# .pre-commit-config.yaml
repos:
  - repo: https://github.com/pauloestevao795/scori
    rev: v0.6.0
    hooks:
      - id: scori-friction
        args: [--threshold, '75']  # optional: override default threshold

The hook runs scori friction --ci and blocks the commit if any dependency exceeds the threshold. It only fires when requirements*.txt, pyproject.toml, or setup.cfg are staged.

Configuration

Create .scori.toml at the project root to customize scori's behaviour:

[scori]
profile = "conservative"  # conservative (50) | balanced (75) | aggressive (90)
threshold = 60            # explicit threshold overrides profile default

[ignore]
packages = ["boto3", "some-internal-lib"]  # skip these deps entirely

Roadmap

• v1.0 — stable API guarantee, Pipfile/conda.yml support, parallel HTTP fetch, integration tests against real projects
• Beyond Python — scori-js for Node.js (package.json + npm registry + OSV) as the highest-value next ecosystem

Contributing

PRs and issues are welcome. Local setup:

git clone https://github.com/pauloestevao795/scori
cd scori
uv sync --group dev
uv run pre-commit install
uv run pytest

License

MIT