Statements (54)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:National_Park
|
| gptkbp:bfsLayer |
5
|
| gptkbp:bfsParent |
gptkb:Data_Frames_Meta.jl
|
| gptkbp:aims_to |
promote reproducible research
facilitate statistical computing provide high-performance libraries |
| gptkbp:developed_by |
gptkb:Julia_programming_language
|
| gptkbp:has |
version control
active community |
| https://www.w3.org/2000/01/rdf-schema#label |
Julia Stats ecosystem
|
| gptkbp:includes |
gptkb:Distributions.jl
gptkb:Clustering.jl gptkb:Data_Frames.jl gptkb:MLJ.jl gptkb:Stats_Base.jl GLM.jl Hypothesis Tests.jl Mixed Models.jl Optim.jl Stats Models.jl Time Series.jl |
| gptkbp:is_compatible_with |
gptkb:R
gptkb:Library gptkb:Jupyter_notebooks |
| gptkbp:is_designed_for |
data analysis
machine learning applications scientific computing statistical modeling numerical analysis |
| gptkbp:is_influenced_by |
gptkb:MATLAB
gptkb:R_language Python libraries |
| gptkbp:is_known_for |
gptkb:benchmark
extensibility flexibility ease of use |
| gptkbp:is_maintained_by |
Julia Stats organization
|
| gptkbp:is_part_of |
Julia Lang ecosystem
|
| gptkbp:is_scalable |
large datasets
|
| gptkbp:is_used_by |
gptkb:physicist
data scientists statisticians |
| gptkbp:provides |
gptkb:document
tutorials examples open-source tools |
| gptkbp:suitable_for |
gptkb:academic_research
industry applications government projects non-profit research |
| gptkbp:supports |
gptkb:software_framework
data manipulation data visualization statistical analysis |