python-bigsimr
By SchisslerGroup
r-bigsimr
Simulate arbitrary multivariate distributions (by SchisslerGroup)
python-bigsimr | r-bigsimr | |
---|---|---|
1 | 2 | |
1 | 2 | |
- | - | |
10.0 | 5.5 | |
about 3 years ago | 3 months ago | |
Jupyter Notebook | R | |
MIT License | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
python-bigsimr
Posts with mentions or reviews of python-bigsimr.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-04-23.
-
Is it possible to create a Python package with Julia and publish it on PyPi?
One more example for you. Our group wrote our core package in Julia called Bigsimr.jl (here) and then wrote interfaces to it for R (here and on cran) and Python (here and on PyPi)
r-bigsimr
Posts with mentions or reviews of r-bigsimr.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-04-23.
-
Is it possible to create a Python package with Julia and publish it on PyPi?
One more example for you. Our group wrote our core package in Julia called Bigsimr.jl (here) and then wrote interfaces to it for R (here and on cran) and Python (here and on PyPi)
-
[D] What's your favorite concept/rule/theorem in statistics and why?
We have an R interface to the Julia library, but it still requires Julia to be installed. It uses JuliaCall, and honestly you don't even need to use our R wrapper.
What are some alternatives?
When comparing python-bigsimr and r-bigsimr you can also consider the following projects:
PySR - High-Performance Symbolic Regression in Python and Julia
diffeqpy - Solving differential equations in Python using DifferentialEquations.jl and the SciML Scientific Machine Learning organization
Bigsimr.jl - Simulate multivariate distributions with arbitrary marginals.
PackageCompiler.jl - Compile your Julia Package