Speed measurement
Here we will compare the speed of plotting UnfoldMakie with MNE (Python) and EEGLAB (MATLAB).
Three cases are measured:
- Single topoplot
- Topoplot series with 50 topoplots
- Topoplott animation with 50 timestamps
Note that the results of benchmarking on your computer and on Github may differ.
using UnfoldMakie
using TopoPlots
using BenchmarkTools
using Observables
using CairoMakie
using Statistics
using PythonPlot;
using PyMNE; CondaPkg Found dependencies: /home/runner/work/UnfoldMakie.jl/UnfoldMakie.jl/docs/CondaPkg.toml
CondaPkg Found dependencies: /home/runner/.julia/packages/CondaPkg/lKlVY/CondaPkg.toml
CondaPkg Found dependencies: /home/runner/.julia/packages/PyMNE/AlJE6/CondaPkg.toml
CondaPkg Found dependencies: /home/runner/.julia/packages/PythonCall/5WGSP/CondaPkg.toml
CondaPkg Found dependencies: /home/runner/.julia/packages/PythonPlot/oS8x4/CondaPkg.toml
CondaPkg Resolving changes
+ libstdcxx
+ libstdcxx-ng
+ matplotlib
+ mne
+ openssl
+ python
CondaPkg Creating environment
│ /home/runner/.julia/artifacts/43005ee838d3b9ab9b3f1d790fa2e43bd62e6912/bin/micromamba
│ -r /home/runner/.julia/scratchspaces/0b3b1443-0f03-428d-bdfb-f27f9c1191ea/root
│ create
│ -y
│ -p /home/runner/work/UnfoldMakie.jl/UnfoldMakie.jl/docs/.CondaPkg/env
│ --override-channels
│ libstdcxx[version='>=3.4,<15.0']
│ libstdcxx-ng[version='>=3.4,<15.0']
│ matplotlib[version='3.8.*, >=1']
│ mne[version='>=1.4, <2']
│ openssl[version='>=3, <3.6']
│ python[version='3.12.*, >=3.10,!=3.14.0,!=3.14.1,<4, >=3.4,<4',channel='conda-forge',build='*cp*']
└ -c conda-forge
Transaction
Prefix: /home/runner/work/UnfoldMakie.jl/UnfoldMakie.jl/docs/.CondaPkg/env
Updating specs:
- libstdcxx[version=">=3.4,<15.0"]
- libstdcxx-ng[version=">=3.4,<15.0"]
- matplotlib[version="=3.8,>=1"]
- mne[version=">=1.4,<2"]
- openssl[version=">=3,<3.6"]
- conda-forge::python[version="=3.12,(>=3.10,(!=3.14.0,(!=3.14.1,(<4,(>=3.4,<4)))))",build="*cp*"]
Package Version Build Channel Size
────────────────────────────────────────────────────────────────────────────────────────────────────────────
Install:
────────────────────────────────────────────────────────────────────────────────────────────────────────────
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+ nss 3.118 h445c969_0 conda-forge Cached
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+ numexpr 2.14.2 py312h88efc94_100 conda-forge Cached
+ numpy 2.4.6 py312h33ff503_0 conda-forge Cached
+ ocl-icd 2.3.4 hb03c661_1 conda-forge Cached
+ opencl-headers 2025.06.13 hecca717_0 conda-forge Cached
+ openh264 2.6.0 h65dd3cf_1 conda-forge Cached
+ openjpeg 2.5.4 h55fea9a_0 conda-forge Cached
+ openldap 2.6.13 hbde042b_0 conda-forge Cached
+ openmeeg 2.5.16 np2py310h1ad56fd_3 conda-forge Cached
+ openssl 3.5.7 h35e630c_0 conda-forge Cached
+ orderly-set 5.5.0 pyhe01879c_0 conda-forge Cached
+ overrides 7.7.0 pyhd8ed1ab_1 conda-forge Cached
+ packaging 26.2 pyhc364b38_0 conda-forge Cached
+ pandas 2.3.3 py312hf79963d_1 conda-forge Cached
+ pandocfilters 1.5.0 pyhd8ed1ab_0 conda-forge Cached
+ pango 1.56.4 hda50119_1 conda-forge Cached
+ parso 0.8.7 pyhcf101f3_0 conda-forge Cached
+ patsy 1.0.2 pyhcf101f3_0 conda-forge Cached
+ pcre2 10.47 haa7fec5_0 conda-forge Cached
+ pexpect 4.9.0 pyhd8ed1ab_1 conda-forge Cached
+ pillow 12.3.0 py312h50c33e8_0 conda-forge Cached
+ pip 26.1.2 pyh8b19718_0 conda-forge Cached
+ pixman 0.46.4 h54a6638_2 conda-forge Cached
+ platformdirs 4.11.0 pyhcf101f3_0 conda-forge Cached
+ ply 3.11 pyhd8ed1ab_3 conda-forge Cached
+ pooch 1.9.0 pyhd8ed1ab_0 conda-forge Cached
+ proj 9.8.1 he0df7b0_0 conda-forge Cached
+ prometheus_client 0.25.0 pyhd8ed1ab_0 conda-forge Cached
+ prompt-toolkit 3.0.52 pyha770c72_0 conda-forge Cached
+ prompt_toolkit 3.0.52 hd8ed1ab_0 conda-forge Cached
+ propcache 0.5.2 py312h8a5da7c_0 conda-forge Cached
+ psutil 7.2.2 py312h5253ce2_0 conda-forge Cached
+ pthread-stubs 0.4 hb9d3cd8_1002 conda-forge Cached
+ ptyprocess 0.7.0 pyhd8ed1ab_1 conda-forge Cached
+ pugixml 1.15 h3f63f65_0 conda-forge Cached
+ pulseaudio-client 17.0 h9a6aba3_3 conda-forge Cached
+ pure_eval 0.2.3 pyhd8ed1ab_1 conda-forge Cached
+ pybv 0.8.1 pyhd8ed1ab_0 conda-forge Cached
+ pycparser 3.0 pyhcf101f3_0 conda-forge Cached
+ pygments 2.20.0 pyhd8ed1ab_0 conda-forge Cached
+ pymatreader 1.2.3 pyhd8ed1ab_0 conda-forge Cached
+ pyparsing 3.3.2 pyhcf101f3_0 conda-forge Cached
+ pyqt 5.15.11 py312h82c0db2_2 conda-forge Cached
+ pyqt5-sip 12.17.0 py312h1289d80_2 conda-forge Cached
+ pyqtgraph 0.14.0 pyhd8ed1ab_0 conda-forge Cached
+ pyside6 6.11.1 py312h50ac2ff_1 conda-forge Cached
+ pysocks 1.7.1 pyha55dd90_7 conda-forge Cached
+ python 3.12.13 hd63d673_0_cpython conda-forge Cached
+ python-dateutil 2.9.0.post0 pyhe01879c_2 conda-forge Cached
+ python-fastjsonschema 2.21.2 pyhe01879c_0 conda-forge Cached
+ python-gil 3.12.13 hd8ed1ab_0 conda-forge Cached
+ python-json-logger 4.1.0 pyhd8ed1ab_0 conda-forge Cached
+ python-picard 0.8.1 pyh9493f07_0 conda-forge Cached
+ python-tzdata 2026.3 pyhd8ed1ab_0 conda-forge Cached
+ python_abi 3.12 8_cp312 conda-forge Cached
+ pytz 2026.2 pyhcf101f3_0 conda-forge Cached
+ pyvista 0.48.4 pyhd8ed1ab_1 conda-forge Cached
+ pyvistaqt 0.12.0 pyhd8ed1ab_0 conda-forge Cached
+ pyyaml 6.0.3 py312h8a5da7c_1 conda-forge Cached
+ pyzmq 27.1.0 py312hda471dd_3 conda-forge Cached
+ qdarkstyle 3.2.3 pyhd8ed1ab_1 conda-forge Cached
+ qt-main 5.15.15 h0c412b5_8 conda-forge Cached
+ qt6-main 6.11.1 pl5321h16c4a6b_1 conda-forge Cached
+ qtpy 2.4.3 pyhd8ed1ab_1 conda-forge Cached
+ readline 8.3 h853b02a_0 conda-forge Cached
+ referencing 0.37.0 pyhcf101f3_0 conda-forge Cached
+ requests 2.34.2 pyhcf101f3_0 conda-forge Cached
+ rfc3339-validator 0.1.4 pyhd8ed1ab_1 conda-forge Cached
+ rfc3986-validator 0.1.1 pyh9f0ad1d_0 conda-forge Cached
+ rfc3987-syntax 1.1.0 pyhe01879c_1 conda-forge Cached
+ rich 15.0.0 pyhcf101f3_0 conda-forge Cached
+ rich-rst 2.1.0 pyhd8ed1ab_0 conda-forge Cached
+ rpds-py 2026.6.3 py312h192e038_0 conda-forge Cached
+ scikit-learn 1.9.0 np2py312h3226591_0 conda-forge Cached
+ scipy 1.18.0 py312h54fa4ab_0 conda-forge Cached
+ scooby 0.11.2 pyhd8ed1ab_0 conda-forge Cached
+ sdl2 2.32.56 h54a6638_0 conda-forge Cached
+ sdl3 3.4.12 hdeec2a5_0 conda-forge Cached
+ seaborn 0.13.2 hd8ed1ab_3 conda-forge Cached
+ seaborn-base 0.13.2 pyhd8ed1ab_3 conda-forge Cached
+ send2trash 2.1.0 pyha191276_1 conda-forge Cached
+ setuptools 83.0.0 pyh332efcf_0 conda-forge Cached
+ shaderc 2026.3 h1b60276_0 conda-forge Cached
+ shellingham 1.5.4 pyhd8ed1ab_2 conda-forge Cached
+ sip 6.10.0 py312h1289d80_1 conda-forge Cached
+ six 1.17.0 pyhe01879c_1 conda-forge Cached
+ snappy 1.2.2 h03e3b7b_1 conda-forge Cached
+ sniffio 1.3.1 pyhd8ed1ab_2 conda-forge Cached
+ soupsieve 2.9.1 pyhd8ed1ab_0 conda-forge Cached
+ spirv-tools 2026.2 hb700be7_1 conda-forge Cached
+ sqlite 3.53.3 hbc0de68_0 conda-forge Cached
+ stack_data 0.6.3 pyhd8ed1ab_1 conda-forge Cached
+ statsmodels 0.14.6 py312h4f23490_0 conda-forge Cached
+ svt-av1 4.2.0 hecca717_0 conda-forge Cached
+ tbb 2023.0.0 hab88423_2 conda-forge Cached
+ tbb-devel 2023.0.0 hab88423_2 conda-forge Cached
+ terminado 0.18.1 pyhc90fa1f_1 conda-forge Cached
+ threadpoolctl 3.6.0 pyhecae5ae_0 conda-forge Cached
+ tinycss2 1.4.0 pyhd8ed1ab_0 conda-forge Cached
+ tk 8.6.13 noxft_hd70dff1_3 conda-forge Cached
+ toml 0.10.2 pyhcf101f3_3 conda-forge Cached
+ tomli 2.4.1 pyhcf101f3_0 conda-forge Cached
+ tornado 6.5.7 py312h4c3975b_0 conda-forge Cached
+ tqdm 4.69.0 pyh8f84b5b_0 conda-forge Cached
+ traitlets 5.15.1 pyhcf101f3_0 conda-forge Cached
+ trame 3.13.2 pyhd8ed1ab_0 conda-forge Cached
+ trame-client 3.13.2 pyhd8ed1ab_0 conda-forge Cached
+ trame-common 1.2.4 pyhd8ed1ab_0 conda-forge Cached
+ trame-server 3.12.5 pyhd8ed1ab_0 conda-forge Cached
+ trame-vtk 2.11.13 pyh36a8613_0 conda-forge Cached
+ trame-vuetify 3.2.5 pyhd8ed1ab_0 conda-forge Cached
+ trx-python 0.4.0 py312h7900ff3_0 conda-forge Cached
+ typer 0.27.0 pyhcf101f3_0 conda-forge Cached
+ typing-extensions 4.16.0 h69aa097_0 conda-forge Cached
+ typing_extensions 4.16.0 pyhcf101f3_0 conda-forge Cached
+ typing_utils 0.1.0 pyhd8ed1ab_1 conda-forge Cached
+ tzdata 2026c h151e31d_0 conda-forge Cached
+ unicodedata2 17.0.1 py312h4c3975b_0 conda-forge Cached
+ uri-template 1.3.0 pyhd8ed1ab_1 conda-forge Cached
+ urllib3 2.7.0 pyhd8ed1ab_0 conda-forge Cached
+ utfcpp 4.09 ha770c72_0 conda-forge Cached
+ viskores 1.1.1 cpu_hc82bd48_1 conda-forge Cached
+ vtk 9.6.2 py312h244374b_5 conda-forge Cached
+ vtk-base 9.6.2 py312h3c33751_5 conda-forge Cached
+ vtk-io-ffmpeg 9.6.2 py312h47b46e0_5 conda-forge Cached
+ wayland 1.26.0 hd6090a7_0 conda-forge Cached
+ wayland-protocols 1.49 hd8ed1ab_0 conda-forge Cached
+ wcwidth 0.8.2 pyhd8ed1ab_0 conda-forge Cached
+ webcolors 25.10.0 pyhd8ed1ab_0 conda-forge Cached
+ webencodings 0.5.1 pyhd8ed1ab_3 conda-forge Cached
+ websocket-client 1.9.0 pyhd8ed1ab_0 conda-forge Cached
+ wheel 0.47.0 pyhd8ed1ab_0 conda-forge Cached
+ widgetsnbextension 4.0.15 pyhd8ed1ab_0 conda-forge Cached
+ wrapt 2.2.2 py312h4c3975b_0 conda-forge Cached
+ wslink 2.5.7 pyhd8ed1ab_0 conda-forge Cached
+ x264 1!164.3095 h166bdaf_2 conda-forge Cached
+ x265 3.5 h924138e_3 conda-forge Cached
+ xcb-util 0.4.1 h4f16b4b_2 conda-forge Cached
+ xcb-util-cursor 0.1.6 hb03c661_0 conda-forge Cached
+ xcb-util-image 0.4.0 hb711507_2 conda-forge Cached
+ xcb-util-keysyms 0.4.1 hb711507_0 conda-forge Cached
+ xcb-util-renderutil 0.3.10 hb711507_0 conda-forge Cached
+ xcb-util-wm 0.4.2 hb711507_0 conda-forge Cached
+ xkeyboard-config 2.48 h280c20c_0 conda-forge Cached
+ xlrd 2.0.2 pyhd8ed1ab_0 conda-forge Cached
+ xmltodict 1.0.4 pyhcf101f3_0 conda-forge Cached
+ xorg-libice 1.1.2 hb9d3cd8_0 conda-forge Cached
+ xorg-libsm 1.2.6 he73a12e_0 conda-forge Cached
+ xorg-libx11 1.8.13 he1eb515_0 conda-forge Cached
+ xorg-libxau 1.0.12 hb03c661_1 conda-forge Cached
+ xorg-libxcomposite 0.4.7 hb03c661_0 conda-forge Cached
+ xorg-libxcursor 1.2.3 hb9d3cd8_0 conda-forge Cached
+ xorg-libxdamage 1.1.6 hb9d3cd8_0 conda-forge Cached
+ xorg-libxdmcp 1.1.5 hb03c661_1 conda-forge Cached
+ xorg-libxext 1.3.7 hb03c661_0 conda-forge Cached
+ xorg-libxfixes 6.0.2 hb03c661_0 conda-forge Cached
+ xorg-libxi 1.8.3 hb03c661_0 conda-forge Cached
+ xorg-libxrandr 1.5.5 hb03c661_0 conda-forge Cached
+ xorg-libxrender 0.9.12 hb9d3cd8_0 conda-forge Cached
+ xorg-libxscrnsaver 1.2.4 hb9d3cd8_0 conda-forge Cached
+ xorg-libxshmfence 1.3.3 hb9d3cd8_0 conda-forge Cached
+ xorg-libxtst 1.2.5 hb9d3cd8_3 conda-forge Cached
+ xorg-libxxf86vm 1.1.7 hb03c661_0 conda-forge Cached
+ xorg-xorgproto 2025.1 hb03c661_0 conda-forge Cached
+ yaml 0.2.5 h280c20c_3 conda-forge Cached
+ yarl 1.24.5 py312h8a5da7c_0 conda-forge Cached
+ zeromq 4.3.5 h09e67af_11 conda-forge Cached
+ zfp 1.0.1 h909a3a2_5 conda-forge Cached
+ zipp 4.1.0 pyhcf101f3_0 conda-forge Cached
+ zlib 1.3.2 h25fd6f3_2 conda-forge Cached
+ zlib-ng 2.3.3 hceb46e0_1 conda-forge Cached
+ zstd 1.5.7 hb78ec9c_6 conda-forge Cached
Summary:
Install: 460 packages
Total download: 100kB
────────────────────────────────────────────────────────────────────────────────────────────────────────────
Transaction starting
Linking python_abi-3.12-8_cp312
Linking tzdata-2026c-h151e31d_0
Linking ca-certificates-2026.7.22-hbd8a1cb_0
Linking font-ttf-dejavu-sans-mono-2.37-hab24e00_0
Linking nomkl-1.0-h5ca1d4c_0
Linking font-ttf-ubuntu-0.83-h77eed37_3
Linking font-ttf-inconsolata-3.000-h77eed37_0
Linking font-ttf-source-code-pro-2.038-h77eed37_0
Linking wayland-protocols-1.49-hd8ed1ab_0
Linking fonts-conda-forge-1-hc364b38_1
Linking fonts-conda-ecosystem-1-0
Linking libzlib-1.3.2-h25fd6f3_2
Linking libgomp-14.3.0-he0feb66_19
Linking libglvnd-1.7.0-ha4b6fd6_3
Linking eigen-5.0.1-hc65338a_0
Linking libboost-headers-1.90.0-ha770c72_1
Linking eigen-abi-5.0.1.80-hf414acd_0
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Linking utfcpp-4.09-ha770c72_0
Linking zlib-1.3.2-h25fd6f3_2
Linking zstd-1.5.7-hb78ec9c_6
Linking _openmp_mutex-4.5-20_gnu
Linking libopengl-1.7.0-ha4b6fd6_3
Linking libegl-1.7.0-ha4b6fd6_3
Linking ld_impl_linux-64-2.46.1-default_hbd61a6d_102
Linking libgcc-14.3.0-he0feb66_19
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Linking libiconv-1.18-h3b78370_2
Linking libntlm-1.8-hb9d3cd8_0
Linking keyutils-1.6.3-hb9d3cd8_0
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Linking libpciaccess-0.19-hb03c661_0
Linking fribidi-1.0.16-hb03c661_0
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Linking libbrotlicommon-1.2.0-hb03c661_1
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Linking xorg-libxdmcp-1.1.5-hb03c661_1
Linking xorg-libxau-1.0.12-hb03c661_1
Linking pthread-stubs-0.4-hb9d3cd8_1002
Linking libpng-1.6.58-h421ea60_0
Linking libdeflate-1.25-h17f619e_0
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Linking xorg-libice-1.1.2-hb9d3cd8_0
Linking libwebp-base-1.6.0-hd42ef1d_0
Linking libgcc-ng-14.3.0-h69a702a_19
Linking libuuid-2.42.2-h5347b49_0
Linking libnsl-2.0.1-hb9d3cd8_1
Linking liblzma-5.8.3-hb03c661_0
Linking libexpat-2.8.1-hecca717_1
Linking bzip2-1.0.8-hda65f42_9
Linking ncurses-6.6-hdb14827_0
Linking openssl-3.5.7-h35e630c_0
Linking libstdcxx-14.3.0-h934c35e_19
Linking libudev1-261.1-h6f4a2f1_0
Linking libsystemd0-261.1-h6f4a2f1_0
Linking libdrm-2.4.127-hb03c661_0
Linking libbrotlienc-1.2.0-hb03c661_1
Linking libbrotlidec-1.2.0-hb03c661_1
Linking libgfortran-14.3.0-h69a702a_19
Linking libxcb-1.17.0-h8a09558_0
Linking libfreetype6-2.14.3-h73754d4_0
Linking libev-4.33-hd590300_2
Linking x264-1!164.3095-h166bdaf_2
Linking lame-3.100-h166bdaf_1003
Linking dav1d-1.2.1-hd590300_0
Linking libxcrypt-4.4.36-hd590300_1
Linking xorg-libsm-1.2.6-he73a12e_0
Linking liblzma-devel-5.8.3-hb03c661_0
Linking expat-2.8.1-hecca717_1
Linking pcre2-10.47-haa7fec5_0
Linking libedit-3.1.20250104-pl5321h7949ede_0
Linking readline-8.3-h853b02a_0
Linking libssh2-1.11.1-hcf80075_0
Linking libzip-1.11.2-h6991a6a_0
Linking libevent-2.1.12-hf998b51_1
Linking libhwy-1.4.0-h3a9caae_0
Linking opencl-headers-2025.06.13-hecca717_0
Linking snappy-1.2.2-h03e3b7b_1
Linking libabseil-20260526.0-cxx17_h7b12aa8_1
Linking libflac-1.5.0-he200343_1
Linking zfp-1.0.1-h909a3a2_5
Linking lz4-c-1.10.0-h5888daf_1
Linking libglu-9.0.3-h5888daf_1
Linking libaec-1.1.5-h088129d_0
Linking cli11-2.6.2-h54a6638_0
Linking pixman-0.46.4-h54a6638_2
Linking openh264-2.6.0-h65dd3cf_1
Linking libvorbis-1.3.7-h54a6638_2
Linking level-zero-1.29.0-hb700be7_0
Linking aom-3.14.1-pl5321h039972f_1
Linking wayland-1.26.0-hd6090a7_0
Linking intel-gmmlib-22.10.0-hb700be7_0
Linking mpg123-1.32.9-hc50e24c_0
Linking icu-78.3-h33c6efd_1
Linking liburing-2.14-hb700be7_0
Linking libunwind-1.8.3-h65a8314_0
Linking spirv-tools-2026.2-hb700be7_1
Linking pugixml-1.15-h3f63f65_0
Linking jsoncpp-1.9.8-h171cf75_0
Linking fmt-12.1.0-hff5e90c_0
Linking double-conversion-3.4.0-hecca717_0
Linking graphite2-1.3.15-hecca717_0
Linking svt-av1-4.2.0-hecca717_0
Linking libvpx-1.15.2-hecca717_0
Linking lerc-4.1.0-hdb68285_0
Linking nspr-4.38-h29cc59b_0
Linking zlib-ng-2.3.3-hceb46e0_1
Linking libstdcxx-ng-14.3.0-hdf11a46_19
Linking libusb-1.0.29-h73b1eb8_0
Linking brotli-bin-1.2.0-hb03c661_1
Linking libopenblas-0.3.33-pthreads_h94d23a6_0
Linking xcb-util-0.4.1-h4f16b4b_2
Linking xorg-libx11-1.8.13-he1eb515_0
Linking xcb-util-wm-0.4.2-hb711507_0
Linking xcb-util-renderutil-0.3.10-hb711507_0
Linking xcb-util-keysyms-0.4.1-hb711507_0
Linking libfreetype-2.14.3-ha770c72_0
Linking libnghttp2-1.68.1-h877daf1_0
Linking libglib-2.88.2-h0d30a3d_0
Linking krb5-1.22.2-hbde042b_1
Linking sqlite-3.53.3-hbc0de68_0
Linking python-3.12.13-hd63d673_0_cpython
Linking libjxl-0.12.0-h174a0a3_1
Linking ocl-icd-2.3.4-hb03c661_1
Linking libprotobuf-7.35.1-h2840a7c_2
Linking blosc-1.21.6-he440d0b_1
Linking libtheora-1.1.1-h4ab18f5_1006
Linking libsndfile-1.2.2-hc7d488a_2
Linking libpsl-0.22.0-h49b2146_1
Linking libxml2-16-2.15.3-hca6bf5a_0
Linking libboost-1.90.0-hd24cca6_1
Linking glslang-16.3.0-h96af755_0
Linking libtiff-4.7.2-h9d88235_0
Linking nss-3.118-h445c969_0
Linking hdf4-4.2.15-h2a13503_7
Linking x265-3.5-h924138e_3
Linking gmp-6.3.0-hac33072_2
Linking brotli-1.2.0-hed03a55_1
Linking libblas-3.11.0-8_h4a7cf45_openblas
Linking xcb-util-image-0.4.0-hb711507_2
Linking xkeyboard-config-2.48-h280c20c_0
Linking xorg-libxrender-0.9.12-hb9d3cd8_0
Linking libxkbfile-1.2.0-hb03c661_0
Linking xorg-libxfixes-6.0.2-hb03c661_0
Linking xorg-libxext-1.3.7-hb03c661_0
Linking libglx-1.7.0-ha4b6fd6_3
Linking fontconfig-2.18.2-h27c8c51_0
Linking freetype-2.14.3-ha770c72_0
Linking glib-tools-2.88.2-h8094192_0
Linking dbus-1.16.2-h24cb091_1
Linking zeromq-4.3.5-h09e67af_11
Linking cyrus-sasl-2.1.28-hac629b4_1
Linking libcups-2.3.3-h7a8fb5f_6
Linking libcurl-8.21.0-hae6b9f4_2
Linking libxml2-2.15.3-h49c6c72_0
Linking libboost-devel-1.90.0-hfcd1e18_1
Linking shaderc-2026.3-h1b60276_0
Linking gdk-pixbuf-2.44.7-h2b0a6b4_0
Linking lcms2-2.19.1-h0c24ade_1
Linking openjpeg-2.5.4-h55fea9a_0
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Transaction finished
To activate this environment, use:
micromamba activate /home/runner/work/UnfoldMakie.jl/UnfoldMakie.jl/docs/.CondaPkg/env
Or to execute a single command in this environment, use:
micromamba run -p /home/runner/work/UnfoldMakie.jl/UnfoldMakie.jl/docs/.CondaPkg/env mycommandData input
dat, positions = TopoPlots.example_data()
df = UnfoldMakie.eeg_array_to_dataframe(dat[:, :, 1], string.(1:length(positions)));Topoplots
UnfoldMakie.jl
@benchmark plot_topoplot(dat[:, 320, 1]; positions = positions)BenchmarkTools.Trial: 62 samples with 1 evaluation per sample.
Range (min … max): 48.286 ms … 1.351 s ┊ GC (min … max): 0.00% … 95.43%
Time (median): 52.557 ms ┊ GC (median): 0.00%
Time (mean ± σ): 81.259 ms ± 174.040 ms ┊ GC (mean ± σ): 34.61% ± 16.39%
█
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48.3 ms Histogram: frequency by time 514 ms <
Memory estimate: 12.06 MiB, allocs estimate: 196363.UnfoldMakie.jl with DelaunayMesh
@benchmark plot_topoplot(
dat[:, 320, 1];
positions = positions,
topo_interpolation = (; interpolation = DelaunayMesh()),
)BenchmarkTools.Trial: 76 samples with 1 evaluation per sample.
Range (min … max): 51.721 ms … 1.705 s ┊ GC (min … max): 0.00% … 96.64%
Time (median): 57.425 ms ┊ GC (median): 0.00%
Time (mean ± σ): 87.921 ms ± 203.789 ms ┊ GC (mean ± σ): 34.84% ± 15.16%
█
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51.7 ms Histogram: log(frequency) by time 744 ms <
Memory estimate: 12.06 MiB, allocs estimate: 196370.MNE
posmat = collect(reduce(hcat, [[p[1], p[2]] for p in positions])')
pypos = Py(posmat).to_numpy()
pydat = Py(dat[:, 320, 1])
@benchmark begin
f = PythonPlot.figure()
PyMNE.viz.plot_topomap(
pydat,
pypos,
sphere = 1.1,
extrapolate = "box",
cmap = "RdBu_r",
sensors = false,
contours = 6,
)
f.show()
endBenchmarkTools.Trial: 306 samples with 1 evaluation per sample.
Range (min … max): 12.879 ms … 476.549 ms ┊ GC (min … max): 0.00% … 0.00%
Time (median): 13.449 ms ┊ GC (median): 0.00%
Time (mean ± σ): 16.375 ms ± 34.682 ms ┊ GC (mean ± σ): 0.00% ± 0.00%
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12.9 ms Histogram: frequency by time 15.3 ms <
Memory estimate: 3.48 KiB, allocs estimate: 110.Topoplot series
Note that UnfoldMakie and MNE have different defaults for displaying topoplot series. UnfoldMakie in plot_topoplot averages over time samples. MNE in plot_topopmap displays single samples without averaging.
UnfoldMakie.jl
@benchmark begin
plot_topoplotseries(
df;
bin_num = 50,
positions = positions,
axis = (; xlabel = "Time windows [s]"),
)
endBenchmarkTools.Trial: 2 samples with 1 evaluation per sample.
Range (min … max): 2.389 s … 3.278 s ┊ GC (min … max): 13.11% … 31.54%
Time (median): 2.834 s ┊ GC (median): 23.77%
Time (mean ± σ): 2.834 s ± 628.516 ms ┊ GC (mean ± σ): 23.77% ± 13.03%
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2.39 s Histogram: frequency by time 3.28 s <
Memory estimate: 342.21 MiB, allocs estimate: 4920546.MNE
easycap_montage = PyMNE.channels.make_standard_montage("standard_1020")
ch_names = pyconvert(Vector{String}, easycap_montage.ch_names)[1:64]
info = PyMNE.create_info(PyList(ch_names), ch_types = "eeg", sfreq = 1)
info.set_montage(easycap_montage)
simulated_epochs = PyMNE.EvokedArray(Py(dat[:, :, 1]), info)
@benchmark simulated_epochs.plot_topomap(1:50)BenchmarkTools.Trial: 6 samples with 1 evaluation per sample.
Range (min … max): 732.808 ms … 1.973 s ┊ GC (min … max): 0.00% … 0.00%
Time (median): 738.569 ms ┊ GC (median): 0.00%
Time (mean ± σ): 942.960 ms ± 504.588 ms ┊ GC (mean ± σ): 0.00% ± 0.00%
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733 ms Histogram: frequency by time 1.97 s <
Memory estimate: 2.59 KiB, allocs estimate: 82.MATLAB
Running MATLAB on a GitHub Action is not easy. So we benchmarked three consecutive executions (on a screenshot) on a server with an AMD EPYC 7452 32-core processor. Note that Github and the server we used for MATLAB benchmarking are two different computers, which can give different timing results.
Animation
The main advantage of Julia is the speed with which the figures are updated.
timestamps = range(1, 50, step = 1)
framerate = 5050UnfoldMakie with .gif
vals = vec(dat[:, :, 1])
p01, p99 = quantile(vals, [0.01, 0.99])
m = max(abs(p01), abs(p99))
cr = Float32.((-m, m))
@benchmark begin
f = Makie.Figure()
dat_obs = Observable(dat[:, 1, 1])
plot_topoplot!(f[1, 1], dat_obs, positions = positions, visual = (; contours = false, colorrange = cr),)
record(f, "topoplot_animation_UM.gif", timestamps; framerate = framerate) do t
dat_obs[] = @view(dat[:, t, 1])
end
endBenchmarkTools.Trial: 3 samples with 1 evaluation per sample.
Range (min … max): 2.061 s … 2.164 s ┊ GC (min … max): 0.00% … 2.24%
Time (median): 2.092 s ┊ GC (median): 1.73%
Time (mean ± σ): 2.106 s ± 52.984 ms ┊ GC (mean ± σ): 1.34% ± 1.17%
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2.06 s Histogram: frequency by time 2.16 s <
Memory estimate: 123.86 MiB, allocs estimate: 423544.
MNE with .gif
@benchmark begin
fig, anim = simulated_epochs.animate_topomap(
times = Py(timestamps),
frame_rate = framerate,
blit = false,
image_interp = "cubic", # same as CloughTocher
)
anim.save("topomap_animation_mne.gif", writer = "ffmpeg", fps = framerate)
endBenchmarkTools.Trial: 1 sample with 1 evaluation per sample.
Single result which took 8.362 s (0.00% GC) to evaluate,
with a memory estimate of 3.36 KiB, over 116 allocations.Note, that due to some bugs in (probably) PythonCall topoplot is black and white.
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