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From the Open science framework webpage: The Open Science Framework (OSF) is part network of research materials, part version control system, and part collaboration software. The purpose of the software is to support the scientist’s workflow and help increase the alignment between scientific values and scientific practices.

Open stage is a low-cost motorised microscope stage capable of movement in the micrometer range. It features manual control via a control-pad, different movement velocities and pc communication through the serial port.

Parallela, an open source, open access card sized supercomputer, has the mission of bringing parallel computing to the masses by combining multiple RISC processors and very low power consumption. Produced by the Adapteva company.

PySpace is a signal processing and classificiation environment for Python. Modular software for processing of large data streams that has been specifically designed to enable distributed execution and empirical evaluation of signal processing chains.

Frontiers has created not one but two nice collections about open source software for neurosciences written in Python. Here is collection 1 Here is collection 2 In these collections the readers will find a lot of nice resources, ranging from stimulus generation, to data formatting and analysis.

Every lab needs a signal generator once in a while. They are useful to see if your acquisition program is working properly, to test why a certain piece of equipment is not working properly or to generate cues and targets at behavioural paradigms.

Ever thought about playing with a virtual worm? or interacting with a simulated bee brain? Sounds interesting no? These are just two projects that offer anyone the opportunity to play around with brain/neuronal simulations and models.

This project was developed by Katherine Scott to be presented at the PyCon 2014. She developed a skinner box for her pet rats using a raspberry pi and some 3D printed parts.

Although stereo microscopes are an essential piece of hardware in biology labs, sometimes we wish they had more features, like the possibility to record the magnified images with a camera, or have a better lighting system to enhance contrast on those small samples.

From the Pearce lab, this syringe pump was published in Plos One and is built using 3d printed parts, stepper motors and a raspberry pi, costing 5% or less than commercial available systems.