On the open-source landscape of PLOS Computational Biology

Recently, following an editorial by N.S. on reproducibility and the future of MRI research [2], we wrote a blog post presenting an analysis of the open-source landscape for the journal Magnetic Resonance in Medicine (MRM), which broadly focuses on MRI research for medical applications. Using open-source languages like Python opens the gateway to a wide selection of other open-source tools (e.g., continuous integration, Jupyter Notebook, Binder, etc.) which are mostly incompatible with licensed software like MATLAB. Reproducibility tools used by percentage. https://doi.org/10.1371/journal.pcbi.1008725.t002 In addition to sharing code, an emerging trend in the open science community is to provide an easily reproducible coding environment that requires only a web browser to run demos or reproduce figures.