Time Overlap Calculator Laravel Package

Product Decisions This Supports

Verdict up front: this is a reference implementation, not a dependency. At 11 stars, zero dependents, and no release since August 2017, the package carries maintenance risk that outweighs its surface area. Its value to a PM is as a specification of interval-overlap semantics, not as code you ship.

Decisions it directly informs:

• Build vs. buy for scheduling primitives. Overlap detection is 20–60 lines of arithmetic. If a roadmap item depends on it (booking, availability, conflict detection), the right call is a small internal utility with your own test suite — not a third-party dependency with an unmaintained release and no security posture.
• Feature scoping for anything calendar-shaped. The package forces an explicit answer to the questions that actually cause bugs in production: are intervals half-open [start, end), what happens on zero-length ranges, how are timezones and DST transitions handled, and is "overlap" defined as intersection or containment?
• Roadmap sequencing for scheduling surfaces. Booking/reservation flows, shift and roster planning, resource allocation, delivery or pickup slot windows, meeting-room conflict checks, SLA and business-hours calculations, subscription proration across billing periods, and rate/tier selection by time window all share this primitive. Committing to one canonical overlap definition early prevents each squad from inventing a slightly different one.
• Requirements clarification with design and support. Most "double-booked" and "wrong price applied" tickets trace to inclusive-vs-exclusive endpoint assumptions. A written spec derived from this package's behavior is cheap insurance against a class of defects that are hard to reproduce and expensive to diagnose.
• Evaluation of maintained alternatives. The existence of this package (and the moderate opportunity signal around time-window logic) is a prompt to standardize on a maintained library — spatie/period or league/period for general period algebra, Carbon/CarbonPeriod for date math — rather than accumulate one-off comparison helpers across services.

What it should not drive: any decision gated on framework integration. There is no evidence of a Laravel service provider, config publishing, facade, or container binding, and the 2017 release predates current PHP and Laravel baselines. Treat it as framework-agnostic PHP and expect to verify PHP 8 compatibility yourself.

When to Consider This Package

Consider it when all of the following hold:

• You need a compact, readable worked example of naive interval overlap to align engineers on semantics during a design discussion or spike.
• Your intervals are single, well-formed, timezone-normalized ranges — no recurring rules, no exception dates, no all-day semantics.
• You are willing to vendor or reimplement the logic under its MIT terms rather than depend on it transitively.

Look elsewhere, or build in-house, when any of these apply:

• Production dependency. No release since 2017, no dependents, no observable maintainer activity. There is no path to a security patch, and no signal that a PHP 8 or Laravel 10/11 compatibility issue would be fixed. Unmaintained transitive dependencies are also a procurement and audit liability in regulated environments.
• You need more than a boolean. Recurrence (RRULE), interval merging and subtraction across sets, gap-finding for "next available slot," duration-based capacity checks, or timezone-aware comparison against business calendars all exceed this package's scope. Reach for spatie/period / league/period, and keep recurrence in a dedicated library.
• You need framework conventions. No service provider, no configuration, no test scaffolding to inherit — you get none of the integration value a Laravel package normally provides.
• Correctness is customer-visible and high-stakes. Billing proration, payroll, clinical scheduling, or pricing tiers warrant an owned, tested implementation with documented edge-case behavior rather than an unverified dependency.
• You need performance at scale. Overlap across thousands of intervals wants sorting plus a sweep-line approach, not pairwise comparison. Confirm any candidate library supports the set-level operation you need before designing around it.

Recommended posture: time-box a half-day spike to extract the semantics, write your own utility with property-based tests covering zero-length ranges, adjacent-but-not-overlapping ranges, containment, and DST boundaries, then decline the dependency. Reassess only if the package gains a maintained fork or a modern release.

How to Pitch It (Stakeholders)

To executives: A small open-source utility for detecting overlapping time ranges has surfaced in our evaluation backlog. It is MIT-licensed and its logic is easy to reason about, but it has been unmaintained since 2017, has no downstream users, and carries no vendor support. My recommendation is a narrow one: spend half a day using it as a reference for requirements, not as a component in our product. The underlying capability — reliable time-window conflict detection — is a genuine roadmap dependency for scheduling, booking, and time-based pricing features, so we should own that logic rather than inherit it from an abandoned repository. Cost is negligible; the benefit is avoided rework and a documented, testable definition of when two time ranges conflict.

To engineering: The package is essentially a worked example of interval comparison. It is not maintained, has no dependents, and shows no Laravel integration surface, so adopting it shifts the full maintenance burden onto us with none of the usual framework payoff. Proposal: use it to settle the argument about half-open intervals, zero-length ranges, and boundary adjacency, then implement a small internal helper with property-based tests and timezone/DST coverage. Where we need richer algebra — set merging, gap discovery, recurrence — standardize on a maintained library such as spatie/period, and keep recurrence handling in a dedicated dependency. Net cost: one spike. Net gain: one canonical definition across services and a category of booking and pricing defects designed out rather than debugged.