NeuroLibre¶
Warning
NeuroLibre is at an alpha stage of development, and is not currently open for submissions.
NeuroLibre is a preprint server for interactive data analyses. It is tailored for publishing interactive neuroscience notebooks that can seamlessly integrate data, text, code and figures.
For authors, it takes three steps: prepare, test and submit¶
Our full-fledged (yet simple) submission workflow is designed to help researchers convert a collection of Jupyter Notebooks and Markdown files into publishable content.
Providing online-executable runtimes and a powerful data caching system, NeuroLibre makes a groundbreaking preprint server where you can plant the seeds of living publications.
As an author you should follow:
For readers, it takes one click!¶
The interactive outputs (such as interactive figures) are readily available in NeuroLibre preprints. Yet, if you’d like to re-run the analyses and reproduce the outputs, our powerful cloud infrastructure is at the tip of your fingers.
See also
To find out more about how to navigate a NeuroLibre preprint, you can visit Reader guidelines.
Contributions are welcome!¶
NeuroLibre is fully open-source and draws its strength from community-developed tools such as BinderHub and Open Journals. You can find more information under our github organization.
See also
If you are interested in contributing to NeuroLibre or to deploy one of your own, please visit developer documentation.
Submission guidelines
Reader
Technical screening
Developer documentation
FAQ
- FAQ - Frequently Asked Questions
- How can I test a NeuroLibre submission ?
- Can I submit a non-github repository ?
- What are the hardware limits on NeuroLibre ?
- I want to contribute, how can I do that ?
- Which languages does NeuroLibre support ?
- What type of review are you doing ?
- How do I manage datasets with NeuroLibre ?
- Which version of
jupyter-bookandrepo2datashould I use ? - How can I cache my experiments ?
- Can I use Dockerfile for my submission ?