Question 1

How does Autolab compare to Gradescope for auto-grading?

Accepted Answer

Autolab is open-source and self-hosted, offering more customization and control but requiring significant setup, whereas Gradescope is a commercial SaaS with easier deployment but less flexibility and potential vendor lock-in.

Question 2

Can Autolab integrate with Canvas or other LMS platforms?

Accepted Answer

Yes, Autolab supports LTI integration for roster syncing with Canvas and other Learning Tools Interoperability services, as highlighted in the v2.10.0 release and documentation for seamless course management.

Question 3

How to set up custom autograders in Autolab?

Accepted Answer

Autograding involves writing assessment-specific scripts, often using Docker containers, with options for direct file uploads and network access control, as detailed in the v3.0.0 changelog and docs for Tango integration.

Question 4

What are the hardware requirements for running Autolab?

Accepted Answer

Hardware needs scale with student load; for large classes, robust server resources are essential to handle concurrent autograding, though specific recommendations are not detailed in the README, requiring trial and error.

Question 5

Is Autolab suitable for small classrooms or bootcamps?

Accepted Answer

Yes, but it may be overkill for very small groups due to setup complexity; however, the project offers free servers for NGOs or high-school classrooms on a case-by-case basis, as noted in the README.

Question 6

How does Autolab handle student collaborations and cheat detection?

Accepted Answer

Autolab includes features for managing student partners and meetings, and supports cheat checking through built-in tools, though specific algorithms or methods are not detailed in the README, requiring custom implementation.

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