Examples of autograders for running on Gradescope
-
Updated
Mar 16, 2026 - Java
Gradescope is a suite of services to make grading coursework and providing feedback easier. Gradescope streamlines the tedious parts of grading paper-based, digital, and code assignments while providing insights into how your students are doing. Gradescope lets instructors save time on grading so that they can do more of what matters – teaching! With Gradescope, students receive faster and more detailed feedback on their work, and instructors can see detailed assignment and question analytics.
Examples of autograders for running on Gradescope
Python package for building Gradescope autograders
A library for grading Java assignments
Infrastructure to autograde Racket code on Gradescope
Utility library for the Princeton COS' LIFT.
Gradescope Autograder Starter Template with C++ Tooling
Platform-independent Java autograder with Gradescope support
A Model Context Protocol (MCP) server for academic tools, integrating with Canvas and Gradescope platforms.
GradeBridge AI - Student submission app
GradeBridge AI - Autograding for Gradescope
Gradescope Autograder that mimics Kaggle, minus a lengthy approval process and leaderboards
Autograder templates for Java JUnit tests
Integrated dashboard: Gradescope + Canvas + Optional Spreadsheet for tracking student progress/success
Gradescope autograder specification for Nand2Tetris projects
Privacy-first browser extension to sync Gradescope assignments to Google Calendar
This is the python3 library to help generate class reports especially useful for Gradescope.
This is mean to be a base autograder which will clone the normal autograder from a hosted repo.
This is the full autograder fo the GradescopeBase (https://github.com/61c-teach/GradescopeBase).
Released 2014