Online and LAN assessment platform for quizzes, tests, and surveys

QST screenshot

QST is an open-source online/LAN assessment platform for creating, delivering, and grading quizzes, tests, surveys, and other markable assignments. It supports large-scale, proctored-style testing as well as lightweight quizzes, with an emphasis on controlled access, portability of question banks, and integrated results analysis.

Key Features

  • Role-based administration for organizations, instructors, and students, including bulk user/class imports and optional student photo display
  • Question/item banks with folders and reuse across assessments
  • Multiple question types (including MCQ, multiple-answer, matching, true/false, short answer, essay) plus survey-style items
  • Branching/adaptive delivery (skip logic) and randomization (question/answer shuffling and random selection)
  • Multiple delivery modes (single-question flows, jump/next, paper-style) and configurable result visibility
  • Auto-marking for objective questions plus manual grading for written responses
  • GradeBook with per-assessment and per-question statistics and export (CSV/JSON)
  • Import/export and conversion across common formats (QST XML, Moodle XML, QTI, Word XML, PDF)
  • Rich editors for formatted content, including math/chemistry equation support (MathML/TeX/LaTeX)

Use Cases

  • School or training-center quizzes, surveys, and exams with reporting and grade aggregation
  • Secure in-network testing for labs or classrooms with controlled access and timed assessments
  • Migration/archival workflows using imports/exports to move question banks between platforms

Limitations and Considerations

  • Not a full LMS; focuses on assessments and grading rather than broader course delivery features
  • Some accessibility work is noted as partial/ongoing (WCAG AA support)

QST is a feature-rich assessment system designed for organizations that need strong question-bank portability, flexible test delivery options, and detailed grading analytics. It fits well where a standalone, scalable testing platform is needed without adopting a full learning management suite.

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