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https://github.com/gradescope/autograder_samples

Examples of autograders for running on Gradescope
https://github.com/gradescope/autograder_samples

autograder autograding computer-science course-management gradescope

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Examples of autograders for running on Gradescope

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README 

        
[![Documentation Status](https://readthedocs.org/projects/gradescope-autograders/badge/?version=latest)](https://gradescope-autograders.readthedocs.org/en/latest/?badge=latest)



# Overview



Gradescope provides a language-agnostic platform for running your

autograders on our infrastructure. By running in Docker containers, we

give you full flexibility in setting up whatever language, compilers,

libraries, or other dependencies you need for your programming

assignments. You provide us with a setup script and an autograder

script, along with whatever supporting code you need, and we manage

accepting student submissions, running your autograder at scale, and

distributing the results back to students and to you.



!!! note "Updates"

    Our autograder platform is under active development! Check out the

    [Updates](updates/) page to see what we've changed recently.



# How it works



As an instructor, you create a new assignment on Gradescope, and

upload your autograder zip file following our

[specifications](https://gradescope-autograders.readthedocs.io/en/latest/specs/). Your code produces output in the format we

request. Students submit to Gradescope and have their work evaluated

on demand. They can submit as many times as they want. At the end of

the process, you can download their code and their results.



Follow our **[instructions](https://gradescope-autograders.readthedocs.io/en/latest/getting_started/)** to get started with

autograding.



# Examples



If you want to jump right in, we have built the following examples for

autograders in different languages. You can see how they are built,

and use them as a starting point for your own autograders. If you have

any further questions, feel free to contact us at

[[email protected]](mailto:[email protected])



- [Python](python/)

- [Java (JUnit)](java/)

  - [Java+Maven](java-mvn/)



# Getting Help



You can also ask questions on the [GitHub discussions

forum](https://github.com/gradescope/autograder_samples/discussions)

for this project, especially if there is no private information in

your question.



If you need any help getting set up with the autograder platform,

please contact us at

[[email protected]](mailto:[email protected]). Please mention

Autograder in the subject line, it'll help us categorize the type of

support request. 



Issues regarding setup or installation of packages are often not

Gradescope specific. In general, information about installing packages

on our base operating system (currently Ubuntu 22.04 by default) will

be relevant to Gradescope. If you get errors during your autograder

setup phase it may help to search for those errors on Google or Stack

Overflow.



Given the multitude of software packages that are in use on the

Gradescope autograder platform, the Gradescope team is not intimately

familiar with each package's setup and configuration. When trying to

install or use packages, it is a good idea to check the package's

installation instructions or source code repository for any tips on

installing on Ubuntu 22.04, or instructions on configuration and

usage. It is also helpful to contact the authors of such packages when

possible because they will be more familiar with their own code.



# Pricing



The code autograder platform is available with an [Institutional license or Institutional Trial](https://turnitin.gradescope.com/advocate).

If you have any questions regarding pricing, please contact us at [email protected].