Ad Astra vs FET

Ad Astra is academic planning and scheduling software for colleges and universities. Its suite handles course, room, and event scheduling, classroom optimization, registration monitoring, demand forecasting, and annual schedule planning. Real-time data and predictive analytics help institutions align schedules with student demand. Student Demand Forecasting uses pathway data and historical enrollment patterns to predict course demand. Conflict detection, teacher constraints, room constraints, and multi-campus support are listed capabilities. A report library helps institutions evaluate scheduling practices, while the Higher Education Scheduling Index provides benchmarking measures. The platform names certified, bi-directional SIS integrations with Ellucian Banner, Ellucian Colleague, Jenzabar, Oracle PeopleSoft Campus Solutions, and Workday, plus flexible APIs. Its smart scheduling platform is hosted on Amazon Web Services. Support includes tickets, a knowledge base, expert access, onboarding, training, and consulting. Pricing is paid and available on request. Ad Astra says it partners with more than 550 institutions.

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.