Optimization Solver as a Service

4 days ago

Quicopt is a solver for hard optimization problems requiring only three steps: install, run an example, and understand the outcome.
Install via PyPI with 'pip install quicopt[mathopt]' for OR-Tools MathOpt or 'quicopt[pyomo]' for Pyomo; no API key or signup is needed.
Run a ready-to-run example script (e.g., QUBO or MILP) to see how it works, with output displayed in a framed view.
The process involves building a standard model in a front-end (like MathOpt or Pyomo), calling client.solve(model), and receiving results with status, objective, and solution details.
Supported problem classes include LP, QP, MILP, MINLP, QUBO, PUBO/HUBO, and NLP, but integer variables beyond binary are not accepted in non-linear models.
The free tier is an entry point for evaluation, with limitations on availability and guarantees; data is kept to improve solvers, but sensitive data should not be submitted.

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