ParameterizedFunctions

A simple domain-specific language (DSL) for defining differential equations for use in scientific machine learning (SciML) and other applications

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

Science Score: 54.0%

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
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codemeta.json file
Found codemeta.json file
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.zenodo.json file
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DOI references
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Academic publication links
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Committers with academic emails
4 of 23 committers (17.4%) from academic institutions
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JOSS paper metadata
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Scientific vocabulary similarity
Low similarity (10.9%) to scientific vocabulary

Keywords

differential-equations jacobian parameters scientific-machine-learning sciml

Keywords from Contributors

pdes sde ode matrix-exponential ordinary-differential-equations dae dde stochastic-differential-equations partial-differential-equations differentialequations

Last synced: 6 months ago · JSON representation ·

Repository

A simple domain-specific language (DSL) for defining differential equations for use in scientific machine learning (SciML) and other applications

Basic Info

Host: GitHub
Owner: SciML
License: other
Language: Julia
Default Branch: master
Homepage: https://docs.sciml.ai/ParameterizedFunctions/stable/
Size: 1.6 MB

Statistics

Stars: 77
Watchers: 7
Forks: 15
Open Issues: 3
Releases: 0

Topics

differential-equations jacobian parameters scientific-machine-learning sciml

Created over 9 years ago · Last pushed 6 months ago

Metadata Files

Readme License Citation

README.md

ParameterizedFunctions.jl

ParameterizedFunctions.jl is a component of the SciML ecosystem which allows for easily defining parameterized ODE models in a simple syntax.

Tutorials and Documentation

For information on using the package, see the stable documentation. Use the in-development documentation for the version of the documentation, which contains the unreleased features.

Example

The following are valid ODE definitions.

```julia using DifferentialEquations, ParameterizedFunctions

Non-Stiff ODE

lotkavolterra = @odedef begin d🐁 = α * 🐁 - β * 🐁 * 🐈 d🐈 = -γ * 🐈 + δ * 🐁 * 🐈 end α β γ δ

p = [1.5, 1.0, 3.0, 1.0]; u0 = [1.0; 1.0]; prob = ODEProblem(lotka_volterra, u0, (0.0, 10.0), p) sol = solve(prob, Tsit5(), reltol = 1e-6, abstol = 1e-6)

Stiff ODE

rober = @ode_def begin dy₁ = -k₁ * y₁ + k₃ * y₂ * y₃ dy₂ = k₁ * y₁ - k₂ * y₂^2 - k₃ * y₂ * y₃ dy₃ = k₂ * y₂^2 end k₁ k₂ k₃

prob = ODEProblem(rober, [1.0, 0.0, 0.0], (0.0, 1e5), [0.04, 3e7, 1e4]) sol = solve(prob) ```

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

Release event: 4
Watch event: 1
Delete event: 8
Issue comment event: 11
Push event: 53
Pull request event: 11
Create event: 6

Last Year

Release event: 4
Watch event: 1
Delete event: 8
Issue comment event: 11
Push event: 53
Pull request event: 11
Create event: 6

Committers

Last synced: 8 months ago

All Time

Total Commits: 341
Total Committers: 23
Avg Commits per committer: 14.826
Development Distribution Score (DDS): 0.238

Past Year

Commits: 9
Committers: 4
Avg Commits per committer: 2.25
Development Distribution Score (DDS): 0.444

Top Committers

Name	Email	Commits
Christopher Rackauckas	C**t@C**m	260
ArnoStrouwen	a**n@t**e	13
Yingbo Ma	m**5@g**m	12
dependabot[bot]	4****]	10
github-actions[bot]	4****]	10
Anant Thazhemadam	a**m@g**m	6
CompatHelper Julia	c**y@j**g	4
David Widmann	d****n	4
Shashi Gowda	g**a@m**u	4
ScottPJones	s**s@a**u	2
Gabriel Gellner	g**r@g**m	2
Chris de Graaf	me@c****v	2
Aayush Sabharwal	a**l@g**m	2
Anshul Singhvi	a**7@s**u	1
Anand	a**j@u**u	1
Alex Arslan	a**n@c**t	1
Elliot Saba	s**t@g**m	1
Hendrik Ranocha	m**l@r**e	1
Julia TagBot	5****t	1
Vahid Nikoofard	v**d@y**m	1
femtocleaner[bot]	f****]	1
Pepijn de Vos	p**s@j**m	1
jamesjscully	j**y@g**m	1

Committer Domains (Top 20 + Academic)

juliacomputing.com: 1 ranocha.de: 1 comcast.net: 1 uchicago.edu: 1 simons-rock.edu: 1 cdg.dev: 1 alum.mit.edu: 1 mit.edu: 1 julialang.org: 1 telenet.be: 1 chrisrackauckas.com: 1

Issues and Pull Requests

Last synced: 6 months ago

All Time

Total issues: 37
Total pull requests: 89
Average time to close issues: 6 months
Average time to close pull requests: 15 days
Total issue authors: 20
Total pull request authors: 23
Average comments per issue: 5.0
Average comments per pull request: 0.6
Merged pull requests: 79
Bot issues: 0
Bot pull requests: 32

Past Year

Issues: 0
Pull requests: 11
Average time to close issues: N/A
Average time to close pull requests: 20 days
Issue authors: 0
Pull request authors: 4
Average comments per issue: 0
Average comments per pull request: 0.55
Merged pull requests: 8
Bot issues: 0
Bot pull requests: 2

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Top Authors

Issue Authors

ChrisRackauckas (15)
korsbo (2)
BeastyBlacksmith (2)
ivborissov (2)
mcfefa (1)
dlill (1)
rohith14 (1)
JuliaTagBot (1)
rafaqz (1)
bryaan (1)
drozzy (1)
kanav99 (1)
jebej (1)
finmod (1)
MatthieuDartiailh (1)

Pull Request Authors

github-actions[bot] (21)
ChrisRackauckas (17)
dependabot[bot] (15)
ArnoStrouwen (12)
thazhemadam (4)
YingboMa (4)
ScottPJones (2)
gabrielgellner (2)
christopher-dG (2)
AayushSabharwal (2)
shashi (2)
jamesjscully (1)
JuliaTagBot (1)
pepijndevos (1)
anandijain (1)

Top Labels

Issue Labels

enhancement (1) help wanted (1)

Pull Request Labels

dependencies (15)

Packages

Total packages: 1
Total downloads:
- julia 98 total

Total dependent packages: 7
Total dependent repositories: 12
Total versions: 48

juliahub.com: ParameterizedFunctions

A simple domain-specific language (DSL) for defining differential equations for use in scientific machine learning (SciML) and other applications

Homepage: https://docs.sciml.ai/ParameterizedFunctions/stable/
Documentation: https://docs.juliahub.com/General/ParameterizedFunctions/stable/
License: MIT
Latest release: 5.19.0
published 7 months ago

Versions: 48
Dependent Packages: 7
Dependent Repositories: 12
Downloads: 98 Total

Rankings

Dependent repos count: 2.6%

Average: 7.2%

Dependent packages count: 7.8%

Forks count: 8.7%

Stargazers count: 9.4%

Last synced: 6 months ago

Dependencies

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