How do their growth rates compare?

Timefold has a month-over-month growth rate of -42.8%; Treg has +223.4%.

How does pricing compare?

Timefold: Free Trial, Contact for Pricing, Free. Timefold offers a free tier and a free trial, plus a free proof of concept using your own data. Paid enterprise plans require contacting sales for a custom quote. The core open-source solver is available at no cost. Treg: Freemium. Pay-per-call with no subscription; prices are quoted before each call and start with $1.00 of free credit. Bringing your own provider keys makes those calls unmetered.

What are alternatives to Timefold and Treg?

Other tools in related categories include OpenRouter, Composio, Dooray!, TinyFish, Exa.

Timefold vs Treg — Traffic (24.14K vs 452.94K), Pricing & Verdict

Open AI Tools

Timefold vs Treg — Traffic (24.14K vs 452.94K), Pricing & Verdict | Open AI Tools

Side-by-Side Traffic & Specification Matrix

Dimension / Metric	Timefold	Treg
Official Domain	timefold.ai	treg.to
Pricing Model	Free Trial, Contact for Pricing, Free	Freemium
Monthly Visits	24.14K (24,135)	452.94K (452,935)
MoM Traffic Delta	-18.05K (-42.8%)	+312.9K (+223.4%)
Primary Market & Share	🇺🇸 United States (43.7%)	🇺🇸 United States (36.8%)
Direct Visits / mo	9.67K	235.3K
User Rating	4.4	4.5
Supported Platforms	Website	Website

Timefold

Enterprise scheduling optimization APIs and a proven constraint solver

Domain-specific optimization APIs

Ready-made REST APIs for field service routing, employee shift scheduling, pickup and delivery routing, and task scheduling, each tuned to the constraints those problems actually involve.

Custom API from a conversation

Describe your scheduling problem in natural language and Timefold generates an API that solves it, shortening the path from idea to a working optimizer.

Stateless REST over JSON

Send JSON in and get JSON out through a technology-agnostic, stateless API, so you can integrate without rewriting your architecture or adopting a new platform.

Explainability and what-if analysis

Inspect constraint scores, compare scenarios, and run simulations so planners and stakeholders can understand and trust the decisions the solver makes.