Platform Linux-6.8.0-1031-aws-x86_64-with-glibc2.35
Python 3.12.4 (main, Jun 8 2024, 23:40:19) [GCC 11.4.0]
Executable /home/circleci/.pyenv/versions/3.12.4/bin/python3.12
CPU Intel(R) Xeon(R) Platinum 8124M CPU @ 3.00GHz (36 cores)
Memory 4.0 GiB
Core
├☑ mne 1.11.0.dev71+g06d09def3 (development, latest release is 1.10.2)
├☑ numpy 2.3.3 (OpenBLAS 0.3.30 with 2 threads)
├☑ scipy 1.16.2
└☑ matplotlib 3.10.7 (backend=agg)
Numerical (optional)
├☑ sklearn 1.7.2
├☑ numba 0.62.1
├☑ nibabel 5.3.2
├☑ pandas 2.3.3
├☑ h5io 0.2.5
├☑ h5py 3.15.0
└☐ unavailable nilearn, dipy, openmeeg, cupy
Visualization (optional)
├☑ pyvista 0.46.3 (OpenGL 4.5 (Core Profile) Mesa 23.2.1-1ubuntu3.1~22.04.3 via llvmpipe (LLVM 15.0.7, 256 bits))
├☑ pyvistaqt 0.11.3
├☑ vtk 9.5.2
├☑ qtpy 2.4.3 (PyQt6=6.9.0)
└☐ unavailable ipympl, pyqtgraph, mne-qt-browser, ipywidgets, trame_client, trame_server, trame_vtk, trame_vuetify
Ecosystem (optional)
├☑ mne-bids 0.18.0.dev14+ge96798217
├☑ mne-bids-pipeline 1.10.0.dev109+g2aaa81b62
├☑ eeglabio 0.1.2
├☑ edfio 0.4.10
├☑ pybv 0.7.6
├☑ defusedxml 0.7.1
└☐ unavailable mne-nirs, mne-features, mne-connectivity, mne-icalabel, neo, mffpy, antio