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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. ...

...This package uses OMPL planners (http://ompl.kavrakilab.org/) to implement each component in lightning and can be called the same way as any other OMPL planner. The code was developed at UC Berkeley by Cameron Lee and Dmitry Berenson under the supervision of Prof. Pieter Abbeel and Prof. Ken Goldberg. Please see the Wiki for instructions on how to install and use lightning: https://sourceforge.net/p/lightningros/wiki/Home/

A python package that allows scientists to easily create configurable and reusable experiments. Intended for use with the LabRAD framework. Developed by the Haeffner group studying quantum simulation at UC Berkeley. Wiki at lrexp.wikispaces.com