All neuron types including navis.NeuronList can be pickled. If you don’t know what that is: pickling is storing the actual Python object as a bytes stream. This is incredibly fast and works very well for short-term storage but has a few downsides:

  1. Can only be re-opened in Python

  2. Is (sort of) specific to the current version of navis - i.e. may not work with future versions of navis

With that in mind, pickling is incredibly easy:

import navis
import pickle

# Load some example neurons
nl = navis.example_neurons(3, kind='mesh')

# Pickle neurons to file
with open('/Users/philipps/Downloads//meshes.pkl', 'wb') as f:
    pickle.dump(nl, f)
# Read neurons back from pickle file
with open('/Users/philipps/Downloads//meshes.pkl', 'rb') as f:
    nl = pickle.load(f)
<class 'navis.core.neuronlist.NeuronList'> containing 3 neurons (1.9MiB)
type name id units n_vertices n_faces
0 navis.MeshNeuron DA1_lPN_R 1734350788 8 nanometer 6309 13054
1 navis.MeshNeuron DA1_lPN_R 1734350908 8 nanometer 7098 14620
2 navis.MeshNeuron DA1_lPN_R 722817260 8 nanometer 6582 13772

Hopefully the above has given you some entry points on how to load and save your data. See also the I/O API reference api_io>.