UnfoldMakie
Plotting and visualization tools for EEG data, with additional Unfold.jl regression ERP methods. Based on the visualization libraries Makie.jl and AlgebraOfGraphics.jl
Science Score: 77.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 12 DOI reference(s) in README -
✓Academic publication links
Links to: joss.theoj.org, zenodo.org -
✓Committers with academic emails
1 of 8 committers (12.5%) from academic institutions -
○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (11.0%) to scientific vocabulary
Keywords
Keywords from Contributors
Repository
Plotting and visualization tools for EEG data, with additional Unfold.jl regression ERP methods. Based on the visualization libraries Makie.jl and AlgebraOfGraphics.jl
Basic Info
- Host: GitHub
- Owner: unfoldtoolbox
- License: mit
- Language: Julia
- Default Branch: main
- Homepage: https://unfoldtoolbox.github.io/UnfoldMakie.jl/
- Size: 4.55 GB
Statistics
- Stars: 23
- Watchers: 3
- Forks: 9
- Open Issues: 55
- Releases: 41
Topics
Metadata Files
README.md
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|Estimation|Visualisation|Simulation|BIDS pipeline|Decoding|Statistics|MixedModelling|
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A toolbox for visualizations of EEG/ERP data and Unfold.jl models.
Based on two libraries: - Makie.jl - very flexible visualisation library (Maki-e means "visualisation" on Japanese); - AlgebraOfGraphics.jl - Makie-based grammar of graphics visualisation library, allowing flexible mapping.
Additionally we provide some specific plots for:
- Unfold.jl - for performing rERP analyses;
But Unfold.jl is not a dependency and all plotting functions are agnostic to any specific analysis package.
This package offers users high performance, and highly customizable plots.

We currently support 9 general ERP plots:
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ERP plots
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Butterfly plots
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Topography plots
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Topography time series
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ERP grid
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ERP images
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Channel images
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Parallel coordinates
- Circular topoplots
And 2 Unfold-specific plots: - Design matrices - Splines plot
Installing Julia
Click to expand
The recommended way to install julia is [juliaup](https://github.com/JuliaLang/juliaup). It allows you to, e.g., easily update Julia at a later point, but also to test out alpha/beta versions etc. TLDR: If you don't want to read the explicit instructions, just copy the following command #### Windows AppStore -> JuliaUp, or `winget install julia -s msstore` in CMD #### Mac & Linux `curl -fsSL https://install.julialang.org | sh` in any shellInstalling UnfoldMakie.jl
julia
using Pkg
Pkg.add("UnfoldMakie")
Quickstart
```julia using UnfoldMakie using CairoMakie # backend using Unfold, UnfoldSim # Fit / Simulation
data, evts = UnfoldSim.predefeeg(; noiselevel = 12, returnepoched = true) data = reshape(data, 1, size(data)...) # simulate a single channel
times = range(0, step = 1 / 100, length = size(data, 2)) m = fit(UnfoldModel, @formula(0 ~ 1 + condition), evts, data, times)
plot_erp(coeftable(m)) ```
Contributions
Contributions are very welcome. These can be typos, bug reports, feature requests, speed improvements, new solvers, better code, better documentation.
How to Contribute
You are very welcome to submit issues and start pull requests!
Adding Documentation
- We recommend to write a Literate.jl document and place it in
docs/literate/FOLDER/FILENAME.jlwithFOLDERbeingHowTo,Explanation,TutorialorReference(recommended reading on the 4 categories). - Literate.jl converts the
.jlfile to a.mdautomatically and places it indocs/src/generated/FOLDER/FILENAME.md. - Edit make.jl with a reference to
docs/src/generated/FOLDER/FILENAME.md.
Citation
If you use these visualizations, please cite:
- this is our publication in Journal of Open Source Software on version 0.5.11. We recommend to cite this paper.
- this is DOI of the last version of UM.jl. Cite this or others DOIs if you need to mention specific version of the package.
Contributors
Benedikt Ehinger 🐛 💻 📖 🤔 🚇 🚧 💬 👀 ⚠️ ✅ |
Vladimir Mikheev 🐛 💻 📖 🤔 🚧 👀 ⚠️ ✅ |
Daniel Baumgartner 💻 📖 |
Niklas Gärtner 💻 📖 |
Soren Doring 💻 📖 |
Fadil Furkan Lokman 💻 📖 |
Judith Schepers 🐛 🤔 📖 |
René Skukies 📖 |
Acknowledgements
Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – Project-ID 251654672 – TRR 161” / “Gefördert durch die Deutsche Forschungsgemeinschaft (DFG) – Projektnummer 251654672 – TRR 161.
Funded by Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany´s Excellence Strategy – EXC 2075 – 390740016
Owner
- Name: unfoldtoolbox
- Login: unfoldtoolbox
- Kind: organization
- Email: info@unfoldtoolbox.org
- Website: http://www.unfoldtoolbox.org
- Repositories: 5
- Profile: https://github.com/unfoldtoolbox
Unfold your potentials...
Citation (CITATION.cff)
cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- given-names: Vladimir
family-names: Mikheev
orcid: 'https://orcid.org/0000-0002-4738-6655'
- given-names: Benedikt
family-names: Ehinger
orcid: 'https://orcid.org/0000-0002-6276-3332'
title: 'UnfoldMakie.jl: EEG/ERP visualization package'
version: 0.5.10
doi: 10.21105/joss.07560
date-released: '2025-01-10'
url: 'https://github.com/unfoldtoolbox/UnfoldMakie.jl'
preferred-citation:
type: article
authors:
- given-names: Vladimir
family-names: Mikheev
orcid: 'https://orcid.org/0000-0002-4738-6655'
- given-names: Benedikt
family-names: Ehinger
orcid: 'https://orcid.org/0000-0002-6276-3332'
doi: 10.21105/joss.07560
journal: 'Journal of Open Source Software'
month: 1
title: 'UnfoldMakie.jl: EEG/ERP visualization package'
volume : 10
number: 105
pages: 7560
year: 2025
GitHub Events
Total
- Create event: 59
- Release event: 12
- Issues event: 72
- Watch event: 5
- Delete event: 2
- Issue comment event: 159
- Push event: 648
- Pull request event: 127
- Pull request review event: 151
- Pull request review comment event: 326
- Fork event: 2
Last Year
- Create event: 59
- Release event: 12
- Issues event: 72
- Watch event: 5
- Delete event: 2
- Issue comment event: 159
- Push event: 648
- Pull request event: 127
- Pull request review event: 151
- Pull request review comment event: 326
- Fork event: 2
Committers
Last synced: almost 3 years ago
All Time
- Total Commits: 208
- Total Committers: 8
- Avg Commits per committer: 26.0
- Development Distribution Score (DDS): 0.625
Top Committers
| Name | Commits | |
|---|---|---|
| behinger (s-ccs 001) | b****r@v****e | 78 |
| SoerenDoering | d****n@g****e | 53 |
| NiklasMGaertner | n****r@w****e | 33 |
| Quantum | l****t@g****m | 31 |
| github-actions[bot] | 4****]@u****m | 5 |
| Fadil Furkan Lokman | f****n@h****m | 5 |
| CompatHelper Julia | c****y@j****g | 2 |
| Vladimir | d****m@b****u | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 4 months ago
All Time
- Total issues: 176
- Total pull requests: 246
- Average time to close issues: 4 months
- Average time to close pull requests: 9 days
- Total issue authors: 9
- Total pull request authors: 9
- Average comments per issue: 2.63
- Average comments per pull request: 0.63
- Merged pull requests: 200
- Bot issues: 0
- Bot pull requests: 54
Past Year
- Issues: 62
- Pull requests: 134
- Average time to close issues: 29 days
- Average time to close pull requests: 4 days
- Issue authors: 4
- Pull request authors: 4
- Average comments per issue: 1.27
- Average comments per pull request: 0.4
- Merged pull requests: 106
- Bot issues: 0
- Bot pull requests: 25
Top Authors
Issue Authors
- vladdez (99)
- behinger (58)
- jschepers (8)
- SorenDoring (5)
- ReneSkukies (2)
- Zooaal (1)
- ssaket (1)
- JuliaTagBot (1)
- juliohm (1)
Pull Request Authors
- vladdez (167)
- behinger (61)
- github-actions[bot] (54)
- allcontributors[bot] (7)
- xuyg16 (6)
- Link250 (1)
- SorenDoring (1)
- ReneSkukies (1)
- SimonDanisch (1)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
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Total downloads:
- julia 7 total
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 39
juliahub.com: UnfoldMakie
Plotting and visualization tools for EEG data, with additional Unfold.jl regression ERP methods. Based on the visualization libraries Makie.jl and AlgebraOfGraphics.jl
- Homepage: https://unfoldtoolbox.github.io/UnfoldMakie.jl/
- Documentation: https://docs.juliahub.com/General/UnfoldMakie/stable/
- License: MIT
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Latest release: 0.5.19
published 7 months ago
Rankings
Dependencies
- actions/cache v1 composite
- actions/checkout v2 composite
- codecov/codecov-action v1 composite
- julia-actions/julia-buildpkg v1 composite
- julia-actions/julia-processcoverage v1 composite
- julia-actions/julia-runtest v1 composite
- julia-actions/setup-julia v1 composite
- JuliaRegistries/TagBot v1 composite