SymbolicRegression.jl VS FromFile.jl

Compare SymbolicRegression.jl vs FromFile.jl and see what are their differences.


Distributed High-Performance Symbolic Regression in Julia (by MilesCranmer)


Julia enhancement proposal (Julep) for implicit per file module in Julia (by Roger-luo)
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SymbolicRegression.jl FromFile.jl
3 6
494 130
- -
0.0 1.5
3 days ago 10 months ago
Julia Julia
Apache License 2.0 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.


Posts with mentions or reviews of SymbolicRegression.jl. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-07-15.


Posts with mentions or reviews of FromFile.jl. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-11.

What are some alternatives?

When comparing SymbolicRegression.jl and FromFile.jl you can also consider the following projects:

julia - The Julia Programming Language

DaemonMode.jl - Client-Daemon workflow to run faster scripts in Julia

JET.jl - An experimental code analyzer for Julia. No need for additional type annotations.

DataFramesMeta.jl - Metaprogramming tools for DataFrames

TwoBasedIndexing.jl - Two-based indexing

HTTP.jl - HTTP for Julia

hlb-CIFAR10 - Train CIFAR-10 in <7 seconds on an A100, the current world record.

PackageCompiler.jl - Compile your Julia Package

Makie.jl - Interactive data visualizations and plotting in Julia

symreg - A Symbolic Regression engine

Sirion - A one dimensional hydrodynamic simulation in Julia

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