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graphify-sf

v0.6.1

Published

Turn any Salesforce SFDX project into a queryable knowledge graph — no Python required.

Readme

graphify-sf (npm)

Install and run graphify-sf — the Salesforce SFDX knowledge-graph tool — from npm, without needing Python.

The pre-built binary for your OS/arch arrives with the install, inside a platform package (@graphify-sf/cli-<os>-<arch>, an optional dependency); no download is needed. If that package is missing (--omit=optional, or a registry mirror without the @graphify-sf scope), the binary is downloaded from the GitHub Release instead. That download is checked against the sha256 shipped in this package (checksums.json) and is refused if it doesn't match. Packages are published from CI with npm provenance.

Install

npm install graphify-sf
# or
pnpm add graphify-sf

pnpm note: pnpm sets ignore-scripts=true by default, so the postinstall step may not run automatically. That only matters on the fallback path above: the binary is then downloaded (and verified) lazily on first use, so you may see a one-time download message.

CLI usage

npx graphify-sf ./force-app --out my-graph-out --no-viz

The output directory will contain graph.json with the full knowledge graph.

Programmatic usage (Node.js / sf-cockpit)

const { runGraphify } = require("graphify-sf");

const { graphJsonPath } = await runGraphify("./force-app", { outDir: "my-graph-out" });
console.log("Graph written to:", graphJsonPath);

runGraphify returns a Promise that resolves with { code, graphJsonPath } on success and rejects on non-zero exit.

Additional exports: ensureBinary() (resolves the binary, downloading and verifying it if needed, and returns its path), binaryPath() (returns the fallback download path without triggering a download).

What's bundled

This package wraps the core static-extraction path of graphify-sf: Apex, Flow, Object, LWC, Aura, Profile/PermSet, and Agentforce metadata — everything that can be parsed without an org connection. Community detection and the knowledge-graph JSON export are included.

Not bundled: LLM-assisted extraction (--backend), SVG export, Neo4j export, MCP server, and file-watcher mode. Those extras require a full Python install:

pip install "graphify-sf[all]"
# or
pipx install "graphify-sf[all]"

Supported platforms

| Platform | x64 | arm64 | |-----------|-----|-------| | Linux (glibc ≥ 2.28) | ✓ | ✓ | | macOS | ✓ | ✓ | | Windows | ✓ | — |

On Linux, glibc 2.28 or newer covers RHEL/AlmaLinux/Rocky 8+, Debian 11+ (including node:*-bookworm images), Ubuntu 20.04+ and Amazon Linux 2023. Older glibc (Amazon Linux 2, CentOS/RHEL 7) and musl-based distros (Alpine) aren't supported by the binary.

For unsupported platforms, install via PyPI: pipx install graphify-sf.

License

MIT — see LICENSE.