Symata.jl
language for symbolic mathematics (by jlapeyre)
SymPy.jl
Julia interface to SymPy via PyCall (by JuliaPy)
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| Symata.jl | SymPy.jl | |
|---|---|---|
| 1 | 5 | |
| 172 | 254 | |
| - | 0.0% | |
| 0.0 | 6.9 | |
| almost 3 years ago | 5 months ago | |
| Julia | Julia | |
| GNU General Public License v3.0 or later | 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.
Symata.jl
Posts with mentions or reviews of Symata.jl.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-01-08.
-
Doing Symbolic Math with SymPy
[3] - https://github.com/jlapeyre/Symata.jl
SymPy.jl
Posts with mentions or reviews of SymPy.jl.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-10-24.
- Symbolic differentiation in Julia?
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Converting Symbolics.jl Objects to SymPy.jl Objects
I am working on a project which involves calculating the inverse for matrices with symbolic entries. I am using Symbolics.jl to create the symbolic entries. While Symbolics.jl has been great for computing things like determinants and simplifying their results very quickly, there is a lack of finer-grain expression manipulation commands in the module, and thus I would like to convert my symbolic.jl objects to ones readable with SymPy.jl.
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SymPy.jl to calculate the Characteristic polynomial?
This code no longer works! Can I use use SymPy.jl (e.g. A.charpoly() of sage) instead to calculate the char polynomial?
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Packages for basic quantum mechanics?
You can even just import SymPy into Julia and use that for symbolic computation https://github.com/JuliaPy/SymPy.jl
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Doing Symbolic Math with SymPy
Worth noting that Julia's SymPy binding [1] is pretty pretty nice to work with too. If anyone's looking for big Julia project, I think a symbolic math package written fully in Julia would be a really exciting development. As far as I know, there isn't one yet. The better-known symbolic math packages for Julia still use bindings to C++ (SymEngine.jl [2]) or Python (SymPy.jl, Symata.jl [3]).
[1] - https://github.com/JuliaPy/SymPy.jl
What are some alternatives?
When comparing Symata.jl and SymPy.jl you can also consider the following projects:
ModelingToolkit.jl - An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations
SymPy - A computer algebra system written in pure Python
SymEngine.jl - Julia wrappers of SymEngine
SciPy - SciPy library main repository
NeuralPDE.jl - Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation