Gradescope vs Pawtograder

Gradescope is an assessment platform for instructors who administer and grade work completed online or in class. It handles variable-length assignments, including problem sets and projects, as well as fixed-format worksheets, quizzes, bubble sheets, and exams. Instructors can grade with flexible rubrics, provide detailed feedback, and revise rubric decisions on work that has already been graded. For programming work, students can submit code from GitHub or Bitbucket; instructors can use autograders or add inline comments during manual grading. Gradescope also offers question- and rubric-level statistics, with grade and data exports. Its AI can group similar responses for instructor review on some question types; Answer Groups and AI-assisted grading require an Institutional license. That license also enables integrations with Blackboard, Brightspace, Canvas, Moodle, and Sakai. Without it, rosters can be imported by CSV and grades downloaded for LMS upload. The free Basic plan is listed at free. Android and iOS apps support student submissions and grade viewing, not instructor workflows.

Pawtograder combines autograding, manual grading, office hours, discussion, a gradebook, and analytics for computer science courses. Each commit can trigger tests through GitHub Actions, with results shown by test in the grading interface. Rubrics support additive, deductive, and multi-level criteria, line-level annotations, and separate scoring for group members. The gradebook includes MathJS expression columns, drop-lowest calculations, CSV import, and a student what-if mode. Office hours queues support text, video, and screen sharing, and can show linked submissions and failing tests. Discussions can surface relevant threads for known errors and allow public or staff-only posts. Calendar feeds and Discord channel mirroring cover course events; LTI 1.3 integrations with Canvas, Blackboard, Brightspace, and Moodle are listed as roadmap items. Optional AI-generated test hints and an MCP server for compatible AI clients are also listed. Instructors can use the project-hosted community instance or self-host on Kubernetes with Helm charts. The project is GPLv3 open source. The free community instance is for evaluation; ongoing use at scale requires contacting the project.