Platform Linux-5.15.0-1057-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 68.6 GiB
Core
├☑ mne 1.9.0.dev59+ged933b8d9 (devel, latest release is 1.8.0)
├☑ numpy 2.0.2 (OpenBLAS 0.3.27 with 2 threads)
├☑ scipy 1.14.1
└☑ matplotlib 3.9.2 (backend=agg)
Numerical (optional)
├☑ sklearn 1.5.2
├☑ numba 0.60.0
├☑ nibabel 5.2.1
├☑ pandas 2.2.3
├☑ h5io 0.2.4
├☑ h5py 3.12.1
└☐ unavailable nilearn, dipy, openmeeg, cupy
Visualization (optional)
├☑ pyvista 0.44.1 (OpenGL 4.5 (Core Profile) Mesa 23.2.1-1ubuntu3.1~22.04.2 via llvmpipe (LLVM 15.0.7, 256 bits))
├☑ pyvistaqt 0.11.1
├☑ vtk 9.3.1
├☑ qtpy 2.4.1 (PyQt6=6.7.1)
└☐ unavailable ipympl, pyqtgraph, mne-qt-browser, ipywidgets, trame_client, trame_server, trame_vtk, trame_vuetify
Ecosystem (optional)
├☑ mne-bids 0.16.0.dev44+g65da1ae78
├☑ mne-bids-pipeline 1.10.0.dev27+g02cdc20
├☑ edfio 0.4.4
├☑ pybv 0.7.5
└☐ unavailable mne-nirs, mne-features, mne-connectivity, mne-icalabel, neo, eeglabio, mffpy