SolverForge

Native Rust constraint solving for planning and optimization

Model shifts, routes, visits, and assignments with ordinary Rust types, then optimize them with Constraint Streams, incremental scoring, and solver events that fit application code.

Read the docs View on GitHub
Constraint Streams and incremental scoring Employee scheduling quickstart UI and routing companion crates

What the API feels like

Readable constraints, explicit business rules

SolverForge keeps the model close to the domain. You work with shifts, employees, routes, and scores instead of translating everything into a separate optimization language.

  • Constraint Streams for composable rules and score analysis
  • Typed Rust models that stay recognizable as application code
  • Optimization infrastructure that can power real product workflows
constraints.rs
let no_overlap = factory
    .shifts()
    .join(equal(|shift: &Shift| shift.employee))
    .filter(|a: &Shift, b: &Shift| {
        a.employee.is_some() && a.start < b.end && b.start < a.end
    })
    .penalize_hard()
    .named("No overlap");

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Examples and companion crates

Start with scheduling, extend into UI and routing

Learn the solver through a complete employee scheduling example, embed scheduling views with solverforge-ui, or add travel-time and route modeling with solverforge-maps.

Employee Scheduling

A full walkthrough covering employees, shifts, hard rules, soft preferences, and a live application loop.

Open the quickstart

solverforge-ui

Scheduling views, frontend primitives, and integration helpers for operational applications built on SolverForge.

Browse the UI docs

solverforge-maps

Road-network loading, travel-time matrices, and route geometry utilities for routing and dispatch workflows.

Read the maps docs

Field signal

I have incorporated SolverForge in my new Rust application for staff scheduling and it's working like a charm, A+

Fawaz Halwani, Pathologist, The Ottawa Hospital

Open source foundation

Inspect, test, and extend the solver

Constraint models, score calculations, and solving behavior stay visible in code, which makes it easier to debug planners, write targeted tests, and evolve domain rules over time.

Start with the project overview or dive straight into the APIs and examples.

About SolverForge Project overview