Otter-Grader

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Otter Grader is a light-weight, modular open-source autograder developed by the Data Science Education Program at UC Berkeley. It is designed to work with classes at any scale by abstracting away the autograding internals in a way that is compatible with any instructor's assignment distribution and collection pipeline. Otter supports local grading through parallel Docker containers, grading using the autograder platforms of 3rd party learning management systems (LMSs), the deployment of an Otter-managed grading virtual machine, and a client package that allows students to run public checks on their own machines. Otter is designed to grade Python scripts and Jupyter Notebooks, and is compatible with a few different LMSs, including Canvas and Gradescope.

Documentation

The documentation for Otter can be found here.

Contributing

See CONTRIBUTING.md.

Changelog

See CHANGELOG.md.

Project links

Key dates

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  • Released:
Latest release

2 maintainers

PyPI data
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Credits

Author: Christopher Pyles

License

BSD License (BSD-3-Clause)

Requires

Python <4.0, >=3.10

Provides Extra

grading plugins r

Classifiers

Report project as malware

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