- DiffEqBase.jl VS DifferentialEquations.jl
- DiffEqBase.jl VS diffeqpy
- DiffEqBase.jl VS ComponentArrays.jl
- DiffEqBase.jl VS OrdinaryDiffEq.jl
- DiffEqBase.jl VS SciMLTutorials.jl
- DiffEqBase.jl VS 18S096SciML
- DiffEqBase.jl VS StochasticDiffEq.jl
- DiffEqBase.jl VS JFVM.jl
- DiffEqBase.jl VS auto-07p
- DiffEqBase.jl VS DiffEqGPU.jl
DiffEqBase.jl Alternatives
Similar projects and alternatives to DiffEqBase.jl
-
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
-
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.
-
WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
-
diffeqpy
Solving differential equations in Python using DifferentialEquations.jl and the SciML Scientific Machine Learning organization
-
OrdinaryDiffEq.jl
High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)
-
SciMLTutorials.jl
Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.
-
InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
-
StochasticDiffEq.jl
Solvers for stochastic differential equations which connect with the scientific machine learning (SciML) ecosystem
-
auto-07p
AUTO is a publicly available software for continuation and bifurcation problems in ordinary differential equations originally written in 1980 and widely used in the dynamical systems community.
-
DiffEqGPU.jl
GPU-acceleration routines for DifferentialEquations.jl and the broader SciML scientific machine learning ecosystem
DiffEqBase.jl reviews and mentions
Stats
SciML/DiffEqBase.jl is an open source project licensed under GNU General Public License v3.0 or later which is an OSI approved license.
The primary programming language of DiffEqBase.jl is Julia.
Popular Comparisons
Sponsored