DimensionalPlotRecipes

High dimensional numbers and reductions recipes for data visualization of scientific machine learning (SciML)

https://github.com/sciml/dimensionalplotrecipes.jl

Science Score: 54.0%

This score indicates how likely this project is to be science-related based on various indicators:

✓
CITATION.cff file
Found CITATION.cff file
✓
codemeta.json file
Found codemeta.json file
✓
.zenodo.json file
Found .zenodo.json file
○
DOI references
○
Academic publication links
✓
Committers with academic emails
1 of 14 committers (7.1%) from academic institutions
○
Institutional organization owner
○
JOSS paper metadata
○
Scientific vocabulary similarity
Low similarity (7.5%) to scientific vocabulary

Keywords

data-vizualisation plots scientific-machine-learning sciml

Keywords from Contributors

hybrid-differential-equations matrix-exponential neural-sde ode sde pdes integration numerical differential-equations dae

Last synced: 7 months ago · JSON representation ·

Repository

High dimensional numbers and reductions recipes for data visualization of scientific machine learning (SciML)

Basic Info

Host: GitHub
Owner: SciML
License: other
Language: Julia
Default Branch: master
Homepage:
Size: 60.5 KB

Statistics

Stars: 14
Watchers: 4
Forks: 8
Open Issues: 1
Releases: 8

Topics

data-vizualisation plots scientific-machine-learning sciml

Created almost 9 years ago · Last pushed 8 months ago

Metadata Files

Readme License Citation

README.md

DimensionalPlotRecipes.jl

DimensionalPlotRecipes.jl is a recipe library for higher dimensional plotting with Plots.jl. Current recipes in the package include:

Improved complex number support

```julia

Transformation Options:

:split3D - Splits the complex numbers to a (real,real-part,imag-part) plot

:split2D - Splits to form separate series for the real and imaginary parts

:modulus - Transforms the complex numbers to use their modulus

:modulus2 - Transforms the complex numbers to use their squared modulus

plot(x::AbstractArray{<:Real}, y::Array{Complex{<:Number}}; transformation = :split3D) ```

Future Support

Quaternions
Dimensional reduction (PCA,t-sne,etc.)

Owner

Name: SciML Open Source Scientific Machine Learning
Login: SciML
Kind: organization
Email: contact@chrisrackauckas.com

Website: https://sciml.ai
Twitter: SciML_Org
Repositories: 170
Profile: https://github.com/SciML

Open source software for scientific machine learning

Citation (CITATION.bib)

@article{DifferentialEquations.jl-2017,
 author = {Rackauckas, Christopher and Nie, Qing},
 doi = {10.5334/jors.151},
 journal = {The Journal of Open Research Software},
 keywords = {Applied Mathematics},
 note = {Exported from https://app.dimensions.ai on 2019/05/05},
 number = {1},
 pages = {},
 title = {DifferentialEquations.jl – A Performant and Feature-Rich Ecosystem for Solving Differential Equations in Julia},
 url = {https://app.dimensions.ai/details/publication/pub.1085583166 and http://openresearchsoftware.metajnl.com/articles/10.5334/jors.151/galley/245/download/},
 volume = {5},
 year = {2017}
}

GitHub Events

Total

Delete event: 2
Push event: 3
Pull request event: 5
Create event: 2

Last Year

Delete event: 2
Push event: 3
Pull request event: 5
Create event: 2

Committers

Last synced: 9 months ago

All Time

Total Commits: 56
Total Committers: 14
Avg Commits per committer: 4.0
Development Distribution Score (DDS): 0.446

Past Year

Commits: 7
Committers: 2
Avg Commits per committer: 3.5
Development Distribution Score (DDS): 0.429

Top Committers

Name	Email	Commits
Christopher Rackauckas	a**s@c**m	31
dependabot[bot]	4****]	7
Anant Thazhemadam	a**m@g**m	4
Chris de Graaf	me@c****v	2
github-actions[bot]	4****]	2
Benedikt Tissot	b**t@t**e	2
Anshul Singhvi	a**7@s**u	1
David Widmann	d****n	1
Elliot Saba	s**t@g**m	1
Hendrik Ranocha	m**l@r**e	1
Julia TagBot	5****t	1
Stefanos Carlström	s**m@g**m	1
Tony Kelman	t**y@k**t	1
femtocleaner[bot]	f****]	1

Committer Domains (Top 20 + Academic)

kelman.net: 1 ranocha.de: 1 simons-rock.edu: 1 tissot.de: 1 cdg.dev: 1 chrisrackauckas.com: 1

Issues and Pull Requests

Last synced: 7 months ago

All Time

Total issues: 3
Total pull requests: 24
Average time to close issues: about 1 month
Average time to close pull requests: 10 days
Total issue authors: 3
Total pull request authors: 14
Average comments per issue: 3.0
Average comments per pull request: 0.25
Merged pull requests: 22
Bot issues: 0
Bot pull requests: 10

Past Year

Issues: 0
Pull requests: 1
Average time to close issues: N/A
Average time to close pull requests: 41 minutes
Issue authors: 0
Pull request authors: 1
Average comments per issue: 0
Average comments per pull request: 0.0
Merged pull requests: 1
Bot issues: 0
Bot pull requests: 0

View more stats

Top Authors

Issue Authors

ChrisRackauckas (1)
TorkelE (1)
benneti (1)

Pull Request Authors

dependabot[bot] (11)
Spinachboul (4)
thazhemadam (4)
github-actions[bot] (2)
christopher-dG (2)
femtocleaner[bot] (1)
devmotion (1)
asinghvi17 (1)
jagot (1)
tkelman (1)
staticfloat (1)
ranocha (1)
JuliaTagBot (1)
benneti (1)

Top Labels

Issue Labels

Pull Request Labels

dependencies (11) github_actions (1)

Packages

Total packages: 1
Total downloads:
- julia 34 total

Total dependent packages: 1
Total dependent repositories: 2
Total versions: 6

juliahub.com: DimensionalPlotRecipes

High dimensional numbers and reductions recipes for data visualization of scientific machine learning (SciML)

Documentation: https://docs.juliahub.com/General/DimensionalPlotRecipes/stable/
License: MIT
Latest release: 1.2.0
published almost 6 years ago

Versions: 6
Dependent Packages: 1
Dependent Repositories: 2
Downloads: 34 Total

Rankings

Dependent repos count: 7.3%

Forks count: 14.4%

Average: 19.2%

Dependent packages count: 24.0%

Stargazers count: 31.0%

Last synced: 7 months ago