Installing bluepyopt results in a whopping 550Mb package installation (dependencies included). It installs:
Successfully installed Jinja2-3.1.6 MarkupSafe-3.0.3 NEURON-9.0.1 Pebble-5.2.0 asttokens-3.0.1 bluepyopt-1.14.20 cffi-2.0.0 comm-0.2.3 deap-1.4.4 debugpy-1.8.21 decorator-5.3.1 efel-5.7.24 executing-2.2.1 find-libpython-0.5.1 ipykernel-7.3.0 ipyparallel-9.2.0 ipython-9.14.1 ipython-pygments-lexers-1.1.1 jedi-0.20.0 jupyter-client-8.9.1 jupyter-core-5.9.1 matplotlib-inline-0.2.2 moocore-0.3.1 mpmath-1.3.0 neo-0.14.4 nest-asyncio2-1.7.2 numpy-2.4.6 packaging-26.2 pandas-3.0.3 parso-0.8.7 pexpect-4.9.0 pickleshare-0.7.5 platformdirs-4.10.0 prompt_toolkit-3.0.52 psutil-7.2.2 ptyprocess-0.7.0 pure-eval-0.2.3 pycparser-3.0 pygments-2.20.0 python-dateutil-2.9.0.post0 pyzmq-27.1.0 quantities-0.16.4 scipy-1.17.1 setuptools-82.0.1 six-1.17.0 stack_data-0.6.3 sympy-1.14.0 tornado-6.5.7 tqdm-4.68.2 traitlets-5.15.1 typing-extensions-4.15.0 wcwidth-0.8.1
If multiprocessing is used instead of ipyparallel, then all the dependencies it brings along are not needed. In addition, matplotlib should become optional too.
The dominating packages size-wise are:
22M ./debugpy
26M ./bluepyopt
28M ./numpy.libs
30M ./scipy.libs
34M ./jedi
42M ./numpy
69M ./neuron
73M ./pandas
74M ./sympy
111M ./scipy
From those:
- debugpy doesn't seem to be used anywhere.
- jedi comes in because of ipython
I also noticed that tests and test data are included in the distribution, which is a strange thing to do.
Installing bluepyopt results in a whopping 550Mb package installation (dependencies included). It installs:
If multiprocessing is used instead of ipyparallel, then all the dependencies it brings along are not needed. In addition, matplotlib should become optional too.
The dominating packages size-wise are:
From those:
I also noticed that tests and test data are included in the distribution, which is a strange thing to do.