Our principles

Open source is not only the most efficient paradigm for scalability and collaboration, it facilitates verification and reproducibility.

We do not only advocate open source principles, but actively consult scientific developers on open source licensing and development practices.

Scientific community is blooming with bright minds doing great research and sharing powerful software solutions and data collections.

Instead of (re)inventing a new "better" wheel we instead develop products to harness, improve, and integrate existing solutions.

Scientific software is developed by enthusiasts, who neither have facilities nor funds to support large-scale promotion or reliable distribution.

We help to promote and distribute software, data, and related documentation while paying special attention to such aspects as intellectual property and due acknowledgment.

Research developers are often not programmers by training. As a result, scientific tools are often insufficiently tested and inherently broken.

We work on exercising existing and establishing new unit-, regression, integration and validity testing to guarantee robust and correct operation. Reproducible bogus results are useless!

Never was a buzz word (yet), but it is one of the critical drivers summarizing reliability, accessibility etc. Only when software and data are conveniently available we can talk about wide-scale adoption and reproducibility.

We work to make software and data available to the community, so that everyone could harness available resources regardless of their original complexity or size.

Neuroscience community is vast, but scientific projects often pursued in isolation and without interaction with other scientific communities.

We participate in many initiatives and projects that cross borders among different communities and disciplines, and in return make bridges among previously disconnected research groups.