DEPGRAPH

Dependency risk visualizer — Scorecard + OSV + typosquat + maintainer signals

Developer / Supply Chain — secrets, SBOM, CI/CD, and license hygiene.

pip install cognis-depgraph

depgraph scan .            # → prioritized findings in seconds

Usage — step by step

1. Install the CLI:

   pip install depgraph

2. Audit a dependency manifest (requirements.txt, package.json, or Pipfile) and grade every package. Omit the path to read requirements from stdin:

   depgraph audit requirements.txt

3. Browse the bundled advisory database, optionally filtered by ecosystem:

   depgraph advisories --ecosystem pypi

4. Read the output. Emit JSON and gate on severity or the overall project grade:

   depgraph audit requirements.txt --format json --min-severity HIGH > deps.json

5. Wire it into CI — fail when the project grade drops to or below a letter:

   depgraph audit requirements.txt --fail-grade C || exit 1

Contents

• Why depgraph? · Features · Quick start · Example · Architecture · AI stack · How it compares · Integrations · Install anywhere · Related · Contributing

Why depgraph?

Dependency risk visualizer — Scorecard + OSV + typosquat + maintainer signals — without standing up heavyweight infrastructure.

depgraph is single-purpose, scriptable, and self-hostable: point it at a target, get prioritized results in the format your workflow already speaks (table · JSON · SARIF), gate CI on it, and let agents drive it over MCP.

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Features

• ✅ Parse Manifest

• ✅ Score Dependency

• ✅ Analyze Dependencies

• ✅ Analyze Manifest

• ✅ Runs on Linux/macOS/Windows · Docker · devcontainer

• ✅ Ports in Python, JavaScript, Go, and Rust (ports/)

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Quick start

pip install cognis-depgraph

depgraph --version

depgraph scan .                       # scan current project

depgraph scan . --format json         # machine-readable

depgraph scan . --fail-on high        # CI gate (non-zero exit)

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Example

$ depgraph scan .

  [HIGH    ] DEP-001  example finding             (./src/app.py)

  [MEDIUM  ] DEP-002  another signal              (./config.yaml)



  2 findings · risk score 5 · 38ms

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Architecture

flowchart LR
  IN[input] --> P[depgraph<br/>analyze + score]
  P --> OUT[report]

Loading

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Use it from any AI stack

depgraph is interoperable with every popular way of using AI:

• MCP server — depgraph mcp (Claude Desktop, Cursor, Cognis.Studio, uncensored-fleet)

• OpenAI-compatible / JSON — pipe depgraph scan . --format json into any agent or LLM

• LangChain · CrewAI · AutoGen · LlamaIndex — wrap the CLI/JSON as a tool in one line

• CI / scripts — exit codes + SARIF for non-AI pipelines

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How it compares

| | Cognis depgraph | ossf |

|---|:---:|:---:|

| Self-hostable, no account | ✅ | varies |

| Single command, zero config | ✅ | ⚠️ |

| JSON + SARIF for CI | ✅ | varies |

| MCP-native (AI agents) | ✅ | ❌ |

| Polyglot ports (JS/Go/Rust) | ✅ | ❌ |

| Open license | ✅ COCL | varies |

Built in the spirit of ossf/scorecard, re-framed the Cognis way. Missing a credit? Open a PR.

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Integrations

Pipes into your stack: SARIF for code-scanning, JSON for anything, an MCP server (depgraph mcp) for AI agents, and a webhook forwarder for SIEM/Slack/Jira. See docs/INTEGRATIONS.md.

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Install — every way, every platform

pip install "git+https://github.com/cognis-digital/depgraph.git"    # pip (works today)

pipx install "git+https://github.com/cognis-digital/depgraph.git"   # isolated CLI

uv tool install "git+https://github.com/cognis-digital/depgraph.git" # uv

pip install cognis-depgraph                                          # PyPI (when published)

docker run --rm ghcr.io/cognis-digital/depgraph:latest --help        # Docker

brew install cognis-digital/tap/depgraph                             # Homebrew tap

curl -fsSL https://raw.githubusercontent.com/cognis-digital/depgraph/main/install.sh | sh

| Linux | macOS | Windows | Docker | Cloud |

|---|---|---|---|---|

| scripts/setup-linux.sh | scripts/setup-macos.sh | scripts/setup-windows.ps1 | docker run ghcr.io/cognis-digital/depgraph | DEPLOY.md (AWS/Azure/GCP/k8s) |

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Related Cognis tools

• secretsweep — Repo secret scanner + auto-rotator across providers

• pipewatch-pro — CI/CD supply-chain auditor — GH Actions / GitLab CI / OWASP CI/CD Top 10

• ossaudit — OSS license compliance auditor — AGPL contamination + NOTICE generation

Explore the suite → 🗂️ all 170+ tools · ⭐ awesome-cognis · 🔗 cognis-sources · 🤖 uncensored-fleet · 🧠 engram

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Contributing

PRs, new rules, and demo scenarios are welcome under the collaboration-pull model — see CONTRIBUTING.md and SECURITY.md.

⭐ If depgraph saved you time, star it — it genuinely helps others find it.

Interoperability

{} composes with the 300+ tool Cognis suite — JSON in/out and a shared OpenAI-compatible /v1 backbone. See INTEROP.md for the suite map, composition patterns, and reference stacks.

License

Source-available under the Cognis Open Collaboration License (COCL) v1.0 — free for personal, internal-evaluation, research, and educational use; commercial / production use requires a license (licensing@cognis.digital). See LICENSE.

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_{Cognis Digital · one of 170+ tools in the Cognis Neural Suite · Making Tomorrow Better Today}