Graph Laravel Package

Product Decisions This Supports

• Build vs. buy for graph-shaped features. When a feature needs vertices/edges, traversals, or topological ordering (dependency resolution, workflow/DAG execution, org hierarchies, permission trees, "related items" recommendations), this package answers "do we need a graph database?" with "not necessarily." It lets you model the domain in-process in PHP before committing to infrastructure.
• Roadmap sequencing for internal tooling. Dependency/impact graphs, service maps, and build-order visualizations are classic small-scope wins. This is a cheap way to ship them as part of the existing PHP codebase without standing up Neo4j or a graph service.
• Architecture de-risking. Because it's a pure-PHP, MIT-licensed library with no external services, it's a low-cost spike: one engineer, days not sprints, to validate whether a graph model is the right abstraction before it leaks into the domain layer.
• Scoping algorithm work. Use it to separate "graph storage and traversal" (this package) from "graph algorithms" (Dijkstra, centrality, cycle detection — likely a companion library or in-house code). That distinction drives estimates and staffing more than the library choice itself.
• Vendor/tech-stack fit. For a PHP monolith or Laravel app, keeping graph logic in-process avoids a second runtime, a second deployment, and a second on-call surface — a real operational-cost argument in planning.

When to Consider This Package

Adopt when:

• The graph is small-to-medium and in-process (thousands to low hundreds of thousands of nodes), rebuilt or loaded per request/job, and doesn't need to be queried ad hoc by users.
• You need data structures plus traversal, not a full algorithm suite — and you're willing to write or source the algorithms yourself.
• Zero infrastructure matters more than raw performance: no new service, no new datastore, no ops burden.
• Licensing is a constraint — MIT is permissive and low-friction for legal review.
• The work is internal or developer-facing, where a dependency going quiet is annoying rather than customer-visible.

Look elsewhere when:

• Maintenance risk is unacceptable. Last release was 2021-12-30 — roughly four years stale. For a customer-facing or security-sensitive path, that's a red flag: no PHP 8.x-era fixes, no disclosed vulnerability response, and no maintainer SLA. Verify PHP version compatibility explicitly rather than assuming it.
• You need production-grade algorithms (centrality, community detection, weighted shortest paths, planarity) — evaluate graphp/algorithms or move to a language/ecosystem with a mature graph stack.
• You need persistence, a query language, or user-facing ad hoc queries — that's a graph/relational database decision (Neo4j, ArangoDB, or PostgreSQL recursive CTEs), not a library decision.
• Scale or throughput is the binding constraint — a pure-PHP in-memory graph will not survive million-edge traversals on a hot path.
• Your team is polyglot and already uses Python — networkx is better maintained and better documented, and a small sidecar may be cheaper than a stale PHP dependency.
• You need commercial support or a security review — this package won't provide either.

Diligence items before committing: check the actual algorithm coverage (don't inherit the README's implied scope), confirm PHP version support and test coverage, and grep the issue tracker for abandonment signals.

How to Pitch It (Stakeholders)

To executives: This is a small, free, MIT-licensed PHP library that lets us model relationships — dependencies, hierarchies, workflows — inside our existing application instead of buying or building a graph database. It's a low-cost way to test whether a graph model earns its place on the roadmap before we spend on infrastructure. The tradeoff is honest: the project hasn't shipped a release since 2021, so we treat it as a replaceable implementation detail, not a platform bet.

To engineering: It gives us clean vertex/edge primitives and traversal without new services or deployment surface, and it's small enough to vendor or fork if the upstream goes quiet. The conditions are explicit: we wrap it behind our own interface, pin the version, verify PHP compatibility and algorithm coverage up front, and keep it out of hot paths and security-sensitive code. If the graph outgrows in-process traversal, the wrapper makes the swap to a real graph store a contained change rather than a rewrite.