NeuroMaC

Set of tools to generate virtual neuronal morphologies (and circuits) according to growth-rules that may be expressed in terms of interactions with the environment. Large assemblies of morphologies can be generated simultaneously while interacting with each other.

Source code on github

Documentation here

Reference: Torben-Nielsen, B., De Schutter, E., Context-aware modeling of neuronal morphologies. Frontiers in neuroanatomy, 8:92. doi: 10.3389/fnana.2014.00092 (here)

btmorph

Standalone package to analyze and visualize neuronal morphologies in the SWC format. Now a pre-release of v2 is available!

Source-code on github.

Documentation here.

Reference: Torben-Nielsen, B., An efficient and extendable Python library to analyze neuronal morphologies. Neuroinformatics 12(4):619-622 (here)