Testing your installation

To make sure MNE-Python was installed correctly, type the following command in a terminal:

python -c "import mne; mne.sys_info()"

This should display some system information along with the versions of MNE-Python and its dependencies. Typical output looks like this:

Platform                Windows-10-10.0.20348-SP0
Python                  3.10.12 | packaged by conda-forge | (main, Jun 23 2023, 22:34:57) [MSC v.1936 64 bit (AMD64)]
Executable              C:\Miniconda3\envs\mne\python.exe
CPU                     Intel64 Family 6 Model 85 Stepping 7, GenuineIntel (2 cores)
Memory                  7.0 GB

Core
├☑ mne                  1.6.0.dev67+gb12384562
├☑ numpy                1.25.2 (OpenBLAS 0.3.23.dev with 1 thread)
├☑ scipy                1.11.2
├☑ matplotlib           3.7.2 (backend=QtAgg)
├☑ pooch                1.7.0
└☑ jinja2               3.1.2

Numerical (optional)
├☑ sklearn              1.3.0
├☑ nibabel              5.1.0
├☑ nilearn              0.10.1
├☑ dipy                 1.7.0
├☑ openmeeg             2.5.6
├☑ pandas               2.1.0
└☐ unavailable          numba, cupy

Visualization (optional)
├☑ pyvista              0.41.1 (OpenGL 3.3 (Core Profile) Mesa 10.2.4 (git-d92815a) via Gallium 0.4 on llvmpipe (LLVM 3.4, 256 bits))
├☑ pyvistaqt            0.0.0
├☑ ipyvtklink           0.2.2
├☑ vtk                  9.2.6
├☑ qtpy                 2.4.0 (PyQt5=5.15.8)
├☑ ipympl               0.9.3
├☑ pyqtgraph            0.13.3
└☑ mne-qt-browser       0.5.2

Ecosystem (optional)
└☐ unavailable          mne-bids, mne-nirs, mne-features, mne-connectivity, mne-icalabel, mne-bids-pipeline

If something else went wrong during installation and you can't figure it out, check out the :ref:`advanced_setup` instructions to see if your problem is discussed there. If not, the `MNE Forum`_ is a good resources for troubleshooting installation problems.