FET vs UniversiTools Schedulers

FET creates timetables for schools, high schools, and universities, with automatic, semi-automatic, and manual allocation modes. Its time and room constraints can account for teacher and student availability, preferred times and rooms, gaps, working hours, and changes between rooms or buildings. It accepts flexible XML input and imports CSV; completed schedules can be exported as HTML, XML, or CSV. The maker states algorithm limits of 500,000 activities, 30,000 student subgroups, 30,000 rooms, and 30,000 buildings. FET runs on Linux, macOS, and Windows and is free software under the GNU Affero General Public License version 3, with no stated usage limits. The maker provides a forum and documentation, including manuals, instructions, tips, and frequently asked questions. Listed third-party tools convert FET XML results to Microsoft Excel or bring FET-compatible timetables into RosarioSIS. The maker also says it may help institutions with custom variants for changes that are not too difficult, or advise on how to implement them. Stated generation times range from under five minutes for simpler schedules to hours for extremely difficult ones.

UniversiTools Schedulers is a paid web suite for university and college scheduling. Its modules handle courses, classrooms, exams, make-up sessions, events, course forecasting, and compressed-time schedule transformation. Deterministic engines apply institution-approved data, parameters, and constraints to create conflict-free timetables; items without valid placement remain visibly unscheduled. Course scheduling uses academic structures, instructor assignments, student registrations, and rules. Classroom allocation considers capacity, room type, features, location, availability, and institutional requirements. Exam scheduling addresses conflicts, student workloads, rooms, seating, and proctors. Authorized users can compare what-if scenarios and make controlled manual changes. Workflow and role-based access control govern visibility, requests, reviews, approvals, applications, and notifications. AI Analytics and Insight supports comparison, detection, scoring, forecasting, explanation, and interpretation, while deterministic engines generate schedules. Data exchange can use agreed files, APIs, database tables, or views, including Oracle and Microsoft SQL Server environments. Deployment may be WMT-managed cloud, customer-managed, or connected or hybrid, subject to confirmation. Pricing requires an approved proposal or agreement.