SymbolicRegression.jl VS SymbolicNumericIntegration.jl

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


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


SymbolicNumericIntegration.jl: Symbolic-Numerics for Solving Integrals (by SciML)
Our great sponsors
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • Onboard AI - ChatGPT with full context of any GitHub repo.
  • WorkOS - The modern API for authentication & user identity.
SymbolicRegression.jl SymbolicNumericIntegration.jl
3 1
494 112
- 6.3%
0.0 7.7
3 days ago 4 days 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 SymbolicNumericIntegration.jl. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning SymbolicNumericIntegration.jl yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

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

FromFile.jl - Julia enhancement proposal (Julep) for implicit per file module in Julia

symreg - A Symbolic Regression engine

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

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

DataDrivenDiffEq.jl - Data driven modeling and automated discovery of dynamical systems for the SciML Scientific Machine Learning organization

Metatheory.jl - General purpose algebraic metaprogramming and symbolic computation library for the Julia programming language: E-Graphs & equality saturation, term rewriting and more.

PySR - High-Performance Symbolic Regression in Python and Julia

AI - Artificial Intelligence Projects

MuladdMacro.jl - This package contains a macro for converting expressions to use muladd calls and fused-multiply-add (FMA) operations for high-performance in the SciML scientific machine learning ecosystem

WorldDynamics.jl - An open-source framework written in Julia for global integrated assessment models.

Catalyst.jl - Chemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software.

DifferentialEquations.jl - Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.